Jay Shankar

1.3k citations
17 papers · 1.0k indexed · h-index 14

Impact in

Papers in

    • Signaling Pathways in Disease 2
    • Glutathione Transferases and Polymorphisms 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Cellular Mechanics and Interactions 4
    • Caveolin-1 and cellular processes 4

Jay Shankar

17 papers receiving 1.0k citations

Peers

Jay Shankar
Comparison fields: 5 of 91
  • Cell Biology 230
  • Immunology and Allergy 78
  • Immunology 268
  • Molecular Biology 672
  • Cancer Research 100
Replace Giulia Allavena with:
Giulia Allavena Italy
Liu-Ya Tang United States
Manu Tewari United States
Erinn Soucié France
Tina Cirman Slovenia
Stuart A. Berger Canada
Muriel D. David France
Peter Kreuzaler United Kingdom
Joonsung Hwang South Korea
Alison J. Darmon Canada
Jay Shankar relative to Giulia Allavena Italy Giulia Allavena's profile →
Citations per field
00.5×1.5×1.9×
Giulia Allavena · 1×
Citations per year

Countries citing papers authored by Jay Shankar

Since Specialization
Citations

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

Fields of papers citing papers by Jay Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2015255
2 2010227
3 2013156
4 2015125
5 201741
6 201541
7 200532
8 200826
9 201224
10 201519
11 201318
12 200715
13 201315
14 200814
15 20199
16 20056
17 20115

About Jay Shankar

Jay Shankar is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Oncology and Immunology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (4 papers), Caveolin-1 and cellular processes (4 papers), Galectins and Cancer Biology (3 papers), Signaling Pathways in Disease (2 papers), Allergic Rhinitis and Sensitization (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Cell Biology (230 citations), Immunology and Allergy (78 citations), Immunology (268 citations), Molecular Biology (672 citations) and Cancer Research (100 citations). Jay Shankar has collaborated with scholars based in Canada, India and Saudi Arabia. Frequent co-authors include Ivan R. Nabi, James W. Dennis, Leonard J. Foster, Bharat Joshi, T. Michael Underhill, Min Fu, Pascal St-Pierre, Renu Tuteja, Naveen Arora and Arun Pradhan. Their work appears in journals such as Molecular Biology of the Cell, Journal of Cell Science, Immunological Investigations, Gene and Essays in Biochemistry.

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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