Vijay Shahani

1.1k citations
19 papers · 711 indexed · h-index 11
Topics
Cytokine Signaling Pathways and Interactions (7 papers)Computational Drug Discovery Methods (4 papers)Protein Tyrosine Phosphatases (3 papers)
Journals
SHILAP Revista de lepidopterologíaBiochemical and Biophysical Research CommunicationsTetrahedron

In The Last Decade

Vijay Shahani

19 papers receiving 699 citations

Peers

Vijay Shahani
Comparison fields: 5 of 103
  • Molecular Biology 369
  • Oncology 246
  • Organic Chemistry 115
  • Pathology and Forensic Medicine 86
  • Computational Theory and Mathematics 85
Replace Wen‐Hsing Lin with:
Wen‐Hsing Lin Taiwan
Christopher J. Matheson United States
Manuela Gridling Austria
Renaud Prudent France
Matthew Labenski United States
Mark Watson Canada
James Solowiej United States
Xihan Wu China
Jaroslav Veselý Czechia
Xavier Billot Canada
Vijay Shahani relative to Wen‐Hsing Lin Taiwan Wen‐Hsing Lin's profile →
Citations per field
00.5×1.5×1.9×
Wen‐Hsing Lin · 1×
Citations per year

Countries citing papers authored by Vijay Shahani

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Shahani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Shahani

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Shahani. A scholar is included among the top collaborators of Vijay Shahani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vijay Shahani. Vijay Shahani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 7
2 14
3 9
4 10
5 49
6 198
7 13
8 10
9 3
10 6
11 93
12 8
13 37
14 28
15 49
16 2
17 70
18 80
19 25

About Vijay Shahani

Vijay Shahani is a scholar working on Oncology, Computational Theory and Mathematics and Molecular Biology, having authored 19 papers that have together received 711 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), Computational Drug Discovery Methods (4 papers) and Protein Tyrosine Phosphatases (3 papers). The work is most often cited by research in Toxicology (33 citations), Oncology (246 citations) and Computational Theory and Mathematics (85 citations). Vijay Shahani has collaborated with scholars based in Canada, United States and Belarus. Frequent co-authors include Patrick T. Gunning, Steven Fletcher, Steven V. Molinski, Brent D. G. Page, Lindsay Smith, J. Javier Hernández, Connor Yanchus, Joel A. Drewry, Aaron D. Schimmer and Alan J. Lough. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Tetrahedron.

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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