Jay Shankar

1.4k citations
17 papers · 1.1k · h-index 14

Impact in

    • Cellular Mechanics and Interactions
    • Caveolin-1 and cellular processes
  • Immunology top 10%
    • Galectins and Cancer Biology

Papers in

    • Ubiquitin and proteasome pathways 2
    • Wnt/β-catenin signaling in development and cancer 2
    • RNA Research and Splicing 2
    • Cellular Mechanics and Interactions 4
    • Caveolin-1 and cellular processes 4

Jay Shankar

17 papers receiving 1.1k citations

Peers

Jay Shankar
Comparison fields: 5 of 90
  • Cell Biology 236
  • Immunology 271
  • Immunology and Allergy 67
  • Molecular Biology 648
  • Cancer Research 88
Replace Giulia Allavena with:
Giulia Allavena Italy
Liu-Ya Tang United States
Christine Prébois France
Christina Meyer United States
Jirouta Kitagaki United States
Joonsung Hwang South Korea
Stephan Arni Switzerland
Kathryn Schubert United States
Peter Kreuzaler United Kingdom
Kevin Hakala United States
Jay Shankar relative to Giulia Allavena Italy Giulia Allavena's profile →
Citations per field
00.5×1.5×1.8×
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 2015263
2 2010230
3 2013162
4 2015132
5 201745
6 201542
7 200532
8 200828
9 201225
10 201520
11 201319
12 201318
13 200717
14 200814
15 201910
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 1.1k 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), Ubiquitin and proteasome pathways (2 papers), Allergic Rhinitis and Sensitization (2 papers), Cancer Cells and Metastasis (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cell Biology (236 citations), Immunology (271 citations), Immunology and Allergy (67 citations), Molecular Biology (648 citations) and Cancer Research (88 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 Fanrui Meng. Their work appears in journals such as Molecular Biology of the Cell, Immunological Investigations, Journal of Cell Science, PLoS ONE and Gene.

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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