Benedetta Amicizia | Mathematics | Innovative Research Award

 

Innovative Research Award

Benedetta Amicizia
Affiliation University of Bologna
Country Italy
Scopus ID 57212607514
Documents 5
Citations 27 citations by 19 documents
h-index 2
Subject Area Mathematics
Event International Popular Scientist Awards
Google Scholar gh_ty30AAAAJ
ORCID 0000-0003-3003-8133

Benedetta Amicizia
University of Bologna, Italy

The Innovative Research Award profile recognizes Benedetta Amicizia, a researcher affiliated with the University of Bologna whose scholarly activities contribute to the field of Mathematics. This academic profile summarizes publicly available research metrics, institutional affiliation, publication record, and scholarly impact using recognized research indexing platforms. The profile is presented in a neutral encyclopedic style suitable for academic recognition and professional reference.[1]

Abstract

Benedetta Amicizia has established an emerging research profile within Mathematics through peer-reviewed scholarly publications indexed in international bibliographic databases. Current publicly available metrics indicate five indexed documents, twenty-seven citations received from nineteen citing documents, and an h-index of two. These indicators demonstrate measurable scholarly engagement and an active contribution to mathematical research and scientific communication.[1][2]

Keywords

Innovative Research Award; Benedetta Amicizia; Mathematics; University of Bologna; Scientific Publications; Scopus Author; Research Metrics; Academic Recognition; Scholarly Impact; International Popular Scientist Awards.

Introduction

Mathematics provides essential theoretical foundations supporting developments across science, engineering, computing, economics, and data analysis. Researchers working in this discipline contribute through rigorous analytical methods, mathematical modeling, and interdisciplinary collaboration. Academic recognition profiles document measurable scholarly achievements while encouraging transparency and accessibility of research information.[3]

Research Profile

Benedetta Amicizia is affiliated with the University of Bologna, Italy. According to the Scopus author profile, the researcher has an indexed publication portfolio consisting of five documents that have collectively received twenty-seven citations from nineteen citing publications, resulting in an h-index of two. These bibliometric indicators provide a quantitative overview of research visibility while complementing qualitative assessments of scientific contribution.[1]

Research Contributions

The available scholarly record indicates contributions to mathematical research through peer-reviewed publications indexed in international citation databases. Such contributions support the advancement of mathematical knowledge, facilitate scholarly dialogue, and provide reference material for future investigations. Research dissemination through recognized indexing platforms increases discoverability and encourages interdisciplinary collaboration.[1][2]

Publications

The documented publication record currently includes five indexed scholarly documents. Readers are encouraged to consult the Scopus Author Profile and Google Scholar profile for the most recent publication list, citation updates, co-author information, and related bibliographic records.[1][2]

Research Impact

Research impact may be evaluated using publication quality, citation performance, collaboration networks, and the influence of scholarly outputs within the academic community. The documented citation record demonstrates that Benedetta Amicizia’s publications have been referenced by subsequent research, indicating measurable engagement with the broader scientific literature.[1]

Award Suitability

Based on publicly available scholarly information, Benedetta Amicizia demonstrates characteristics consistent with consideration for the Innovative Research Award. The documented academic record reflects active research participation, indexed publications, measurable citation performance, and affiliation with a recognized academic institution. Final award decisions should remain subject to the official evaluation criteria established by the International Popular Scientist Awards program.[4]

Conclusion

This profile provides a structured academic overview of Benedetta Amicizia by consolidating institutional affiliation, bibliometric indicators, research discipline, and recognized scholarly resources. The page is intended to facilitate academic visibility while presenting factual information in an objective reference format supported by authoritative research databases and official institutional resources.[1]

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Benedetta Amicizia, Author ID 57212607514. Scopus.
    https://www.scopus.com/pages/authors/57212607514
  2. Google Scholar. (n.d.). Scholar Profile: Benedetta Amicizia.
    https://scholar.google.com/citations?user=gh_ty30AAAAJ&hl=en&oi=ao
  3. American Mathematical Society. (n.d.). Mathematics and Research.
  4. International Popular Scientist Awards. (n.d.). Award Information and Evaluation Overview.
    https://popularscientist.com/

Siddhartha Kundu | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Siddhartha Kundu | Mathematics |  Best Researcher Award

Associate Professor at All India Institute Of Medical Sciences Delhi, India

Dr. Siddhartha Kundu is an Associate Professor in the Department of Biochemistry at the All India Institute of Medical Sciences (AIIMS), New Delhi. He holds an MBBS, MD, and PhD, and brings extensive expertise in clinical biochemistry and molecular diagnostics. With a strong background in academic research and teaching, Dr. Kundu has contributed to several national and international scientific publications. He is actively engaged in advancing biochemical research and medical education in India.

Profile:

Professional Experience:

With over 20 years of post-MD experience, Dr. Siddhartha Kundu is a medical doctor and biochemical scientist with recognized contributions in teaching, research, and academic leadership.

  • Teaching/Research: 18+ years

  • Advisory Roles: 2+ years

  • Leadership Positions: 2+ years

Research Interests:

  • Mathematical Modeling of macromolecules and complex biochemical systems (both physiological and pathological)

  • Bioinformatics & Algorithm Development for molecular biology applications

Technical Skills:

  • Programming Languages: PERL, C, Python

  • Data Analysis Platforms: R, Cygwin

  • Bioinformatics: Algorithm design, modeling, and simulation

Editorial Contributions:

  • Invited Reviewer for peer-reviewed journals such as:

    • Scientific Reports

    • Bioinformatics

    • PLOS ONE

    • Indian Journal of Medical Research (IJMR)

Research Output:

(A) Software and Servers Developed

  1. TemporalGSSA
    R package for time-step parameterization in biochemical networks.

  2. ReDirection
    R package for calculating dissociation constants and dominant reaction direction.

  3. ProTG4
    Web server predicting protein sequences from TG4-mapped peptide libraries.

  4. Fe2OG
    Web server predicting Fe(II)/2-oxoglutarate-dependent dioxygenase functions.

(B) Selected Peer-Reviewed Publications

(Author is sole and corresponding author in most; # = single author, * = corresponding)

  1. Kundu S#*. Scientific Reports (2024) – Dissociation constants in biochemical networks.

  2. Kundu S#*. Front Mol Biosci (2023) – ReDirection R-package.

  3. Kundu S#*. Math Biosci Eng (2022) – Ligand interactions as eigenvalue functions.

  4. Kundu S#*. J Bioinf Comp Biol (2022) – TemporalGSSA.

  5. Kundu S#*. Bioinform Biol Insights (2021) – ProTG4 server.

(Full publication list available upon request or via PubMed search)

(C) Conferences, Abstracts & Chapters

  • Conference Abstract: “Role of mathematical models in elucidating biochemical rules”, WGC Singapore (2018).

  • Book Reviews: National Medical Journal of India (2005), Indian Journal of History of Science (2006)

(D) Posters

Presented at:

  • BIOSPARKS 2018, JNU, New Delhi

  • 3rd International Plant Physiology Congress, JNU

  • 3rd International Conference on Integrative Biology, Valencia, Spain

Honors and Awards:

  • AIIMS Excellence in Research Award2021, 2022

Additional Information:

  • Dr. Kundu is a passionate educator and innovator in the application of mathematical and computational models to unravel biological complexity. His work bridges medical biochemistry, theoretical biology, and systems modeling.

Citation Metrics:

  • Total Citations: 133

  • Citations since 2020: 78

  • h-index: 7

  • h-index since 2020: 6

  • i10-index: 5

  • i10-index since 2020: 1

Publication Top Notes:

  • Insights into the molecular mechanism of apoptosis induced by TNF-α in mouse epidermal JB6-derived RT-101 cells
    N. Singh, N. Khanna, H. Sharma, S. Kundu, S. Azmi
    Biochemical and Biophysical Research Communications, 2002

  • Distribution and prediction of catalytic domains in 2-oxoglutarate dependent dioxygenases
    S. Kundu
    BMC Research Notes, 2012

  • Origin, evolution, and divergence of plant class C GH9 endoglucanases
    S. Kundu, R. Sharma
    BMC Evolutionary Biology, 2018

  • In silico identification and taxonomic distribution of plant class C GH9 endoglucanases
    S. Kundu, R. Sharma
    Frontiers in Plant Science, 2016

  • Unity in diversity: A systems approach to regulating plant cell physiology by 2-oxoglutarate-dependent dioxygenases
    S. Kundu
    Frontiers in Plant Science, 2015

  • Co-operative intermolecular kinetics of 2-oxoglutarate dependent dioxygenases may be essential for system-level regulation of plant cell physiology
    S. Kundu
    Frontiers in Plant Science, 2015

  • Insights into the mechanism(s) of digestion of crystalline cellulose by plant class C GH9 endoglucanases
    S. Kundu
    Journal of Molecular Modeling, 2019

  • Stochastic modelling suggests that an elevated superoxide anion-hydrogen peroxide ratio can drive extravascular phagocyte transmigration by lamellipodium formation
    S. Kundu
    Journal of Theoretical Biology, 2016

  • Mathematical modeling and stochastic simulations suggest that low-affinity peptides can bisect MHC-I mediated export of high-affinity peptides into “early”- and “late”-phases
    S. Kundu
    Heliyon, 2021

  • Modeling ligand-macromolecular interactions as eigenvalue-based transition-state dissociation constants may offer insights into biochemical function of the resulting complexes
    S. Kundu
    Mathematical Biosciences and Engineering, 2022

  • ReDirection: An R-package to compute the probable dissociation constant for every reaction of a user-defined biochemical network
    S. Kundu
    Frontiers in Molecular Biosciences, 2023

  • Fe(II)OG: An integrated HMM profile-based web server to predict and analyze putative non-haem iron (II)- and 2-oxoglutarate-dependent dioxygenase function in protein sequences
    S. Kundu
    BMC Research Notes, 2021

  • Mathematical basis of improved protein subfamily classification by a HMM-based sequence filter
    S. Kundu
    Mathematical Biosciences, 2017

  • A mathematically rigorous algorithm to define, compute and assess relevance of the probable dissociation constants in characterizing a biochemical network
    S. Kundu
    Scientific Reports, 2024

  • TemporalGSSA: A numerically robust R-wrapper to facilitate computation of a metabolite-specific and simulation time-dependent trajectory from stochastic simulation algorithm output
    S. Kundu
    Journal of Bioinformatics and Computational Biology, 2022