Vijayalakshmi Chelliah

2.6k citations
22 papers · 1.5k indexed · h-index 17

Vijayalakshmi Chelliah

22 papers receiving 1.5k citations

Peers

Vijayalakshmi Chelliah
Comparison fields: 5 of 122
  • Molecular Biology 1.2k
  • Computational Theory and Mathematics 227
  • Information Systems and Management 66
  • Modeling and Simulation 42
  • Biophysics 49
Replace Camille Laibe with:
Camille Laibe United Kingdom
Yukiko Matsuoka Japan
Samik Ghosh Japan
Jeremy L. Muhlich United States
Emek Demir United States
Guanming Wu United States
Sarah Keating United Kingdom
Birgit Schoeberl United States
Bernard de Bono United Kingdom
Andrew Finney United States
Vijayalakshmi Chelliah relative to Camille Laibe United Kingdom Camille Laibe's profile →
Citations per field
00.5×1.5×
Camille Laibe · 1×
Citations per year

Countries citing papers authored by Vijayalakshmi Chelliah

Since Specialization
Citations

This map shows the geographic impact of Vijayalakshmi Chelliah's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vijayalakshmi Chelliah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijayalakshmi Chelliah more than expected).

Fields of papers citing papers by Vijayalakshmi Chelliah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vijayalakshmi Chelliah. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vijayalakshmi Chelliah. The network helps show where Vijayalakshmi Chelliah may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Vijayalakshmi Chelliah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vijayalakshmi Chelliah Line = papers co-authored together Vijayalakshmi Chelliah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20227
3 202024
4 201942
5 201826
6 201755
7 201732
8 201670
9 201552
10 2014205
11 201374
12 2013106
13 2010374
14 200971
15 200826
16 20084
17 200652
18 2006127
19 200513
20 200479

About Vijayalakshmi Chelliah

Vijayalakshmi Chelliah is a scholar working on Computational Theory and Mathematics, Molecular Biology and Information Systems and Management, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Gene Regulatory Network Analysis (8 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (5 papers), Enzyme Structure and Function (5 papers), Alzheimer's disease research and treatments (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Computational Theory and Mathematics (227 citations) and Information Systems and Management (66 citations). Vijayalakshmi Chelliah has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Nicolas Le Novère, Camille Laibe, Tom L. Blundell, Nicolás Rodríguez, Michael Hucka, Chen Li, Lukas Endler, Ishan Ajmera, Vincent Knight-Schrijver and Harish Dharuri. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Proteins Structure Function and Bioinformatics, Nucleic Acids Research, Journal of Molecular Biology and Philosophical Transactions of the Royal Society B Biological Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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