Jay T. Groves

16.3k total citations · 1 hit paper
197 papers, 12.3k citations indexed

About

Jay T. Groves is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Jay T. Groves has authored 197 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Molecular Biology, 46 papers in Cell Biology and 44 papers in Biomedical Engineering. Recurrent topics in Jay T. Groves's work include Lipid Membrane Structure and Behavior (86 papers), Force Microscopy Techniques and Applications (27 papers) and T-cell and B-cell Immunology (27 papers). Jay T. Groves is often cited by papers focused on Lipid Membrane Structure and Behavior (86 papers), Force Microscopy Techniques and Applications (27 papers) and T-cell and B-cell Immunology (27 papers). Jay T. Groves collaborates with scholars based in United States, Singapore and China. Jay T. Groves's co-authors include Steven G. Boxer, Michael L. Dustin, John Kuriyan, R. Parthasarathy, Martin B. Forstner, Kaspar Mossman, Carolyn R. Bertozzi, Cheng‐han Yu, Arup K. Chakraborty and Jeffrey Nye and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jay T. Groves

190 papers receiving 12.1k citations

Hit Papers

TCR and Lat are expressed on separate protein islands on ... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers

Jay T. Groves
Comparison fields: 5 of 149
  • Molecular Biology 8.1k
  • Biomedical Engineering 2.8k
  • Cell Biology 2.2k
  • Atomic and Molecular Physics, and Optics 2.0k
  • Immunology 2.0k
Replace Katharina Gaus with:
Katharina Gaus Australia
Barbara Baird United States
Satyajit Mayor India
Takahiro Fujiwara Japan
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Elliot L. Elson United States
Gerhard J. Schütz Austria
George H. Patterson United States
Michael K. Rosen United States
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Citations per field, relative to Jay T. Groves
Jay T. Groves · 1×
Citations per year, relative to Jay T. Groves
Jay T. Groves · 1×

Countries citing papers authored by Jay T. Groves

Since Specialization
Citations

This map shows the geographic impact of Jay T. Groves'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 T. Groves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay T. Groves more than expected).

Fields of papers citing papers by Jay T. Groves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay T. Groves

This figure shows the co-authorship network connecting the top 25 collaborators of Jay T. Groves. A scholar is included among the top collaborators of Jay T. Groves 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 Jay T. Groves. Jay T. Groves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 1
4 5
5 50
6 40
7 12
8 11
9 1
10 1
11 5
12 40
13 37
14 255
15 99
16 128
17 110
18 277
19 3
20 40

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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