Anil Vasudevan

2.7k citations
67 papers · 1.9k indexed · h-index 28

Impact in

Papers in

Anil Vasudevan

62 papers receiving 1.8k citations

Peers

Anil Vasudevan
Comparison fields: 5 of 115
  • Organic Chemistry 697
  • Endocrine and Autonomic Systems 117
  • Molecular Biology 1.1k
  • Toxicology 49
  • Computational Theory and Mathematics 194
Replace H. van der Goot with:
H. van der Goot Netherlands
Michael Brands Germany
Éric Marsault Canada
Steven L. Colletti United States
Tuomo Laitinen Finland
Adel Nefzi United States
Isaac M. Westwood United Kingdom
Catherine H. Kaschula South Africa
Alexandra Hamacher Germany
Michael J. Stocks United Kingdom
Anil Vasudevan relative to H. van der Goot Netherlands H. van der Goot's profile →
Citations per field
00.5×10.7×
H. van der Goot · 1×
Citations per year

Countries citing papers authored by Anil Vasudevan

Since Specialization
Citations

This map shows the geographic impact of Anil Vasudevan'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 Anil Vasudevan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Vasudevan more than expected).

Fields of papers citing papers by Anil Vasudevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anil Vasudevan. 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 Anil Vasudevan. The network helps show where Anil Vasudevan may publish in the future.

Co-authors

The 25 scholars most cited alongside Anil Vasudevan, 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 Anil Vasudevan Line = papers co-authored together Anil Vasudevan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20252
4 20252
5 20245
6 20237
7 201931
8 201834
9 201757
10 201785
11 201355
12 201225
13 20075
14 200641
15 200526
16 200415
17 200451
18 200439
19 200333
20 200213

About Anil Vasudevan

Anil Vasudevan is a scholar working on Endocrine and Autonomic Systems, Organic Chemistry, Molecular Biology, Oncology and Endocrinology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (10 papers), Protein Degradation and Inhibitors (9 papers), Receptor Mechanisms and Signaling (8 papers), Click Chemistry and Applications (8 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers), Ubiquitin and proteasome pathways (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Organic Chemistry (697 citations), Endocrine and Autonomic Systems (117 citations), Molecular Biology (1.1k citations), Toxicology (49 citations) and Computational Theory and Mathematics (194 citations). Anil Vasudevan has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Aleem Gangjee, Stevan W. Djurić, Raja Biswas, Andrew J. Souers, Jasmina Marjanovic, Maitrayee Chatterjee, Sherry F. Queener, Andrew D. Hamilton, Yimin Qian and C. Gopi Mohan. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of the American Chemical Society, ACS Chemical Biology and Organic Letters.

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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