Jennifer Bays

1.2k total citations · 1 hit paper
12 papers, 811 citations indexed

About

Jennifer Bays is a scholar working on Cell Biology, Surgery and Molecular Biology. According to data from OpenAlex, Jennifer Bays has authored 12 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cell Biology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Jennifer Bays's work include Cellular Mechanics and Interactions (7 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). Jennifer Bays is often cited by papers focused on Cellular Mechanics and Interactions (7 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). Jennifer Bays collaborates with scholars based in United States, France and India. Jennifer Bays's co-authors include Kris A. DeMali, Michaël Sebbagh, Hannah Campbell, Christopher S. Chen, Marina Uroz, Richard Superfine, Christophe Guilluy, Keith Burridge, Yuan Pan and Xiao Peng and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Nature Cell Biology.

In The Last Decade

Jennifer Bays

12 papers receiving 805 citations

Hit Papers

Vinculin in cell–cell and cell–matrix adhesions 2017 2026 2020 2023 2017 100 200 300

Peers

Jennifer Bays
Comparison fields: 5 of 104
  • Cell Biology 378
  • Molecular Biology 275
  • Biomedical Engineering 190
  • Physiology 96
  • Immunology and Allergy 79
Replace Jan Vrbský with:
Jan Vrbský Czechia
Nikhil Jain Switzerland
Asma Sharif United States
Naoya Sakamoto Japan
Kazuaki NAGAYAMA Japan
Palma Rico-Lastres Spain
Paul Atherton United Kingdom
Philippe Pittet Switzerland
Ana Rubina Perestrelo Czechia
Jan Vrbský Czechia View profile →
Citations per field, relative to Jennifer Bays
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Citations per year, relative to Jennifer Bays
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Countries citing papers authored by Jennifer Bays

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Bays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Bays

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 9
2 4
3 8
4 28
5 22
6 83
7 24
8 3
9 7
10
Vinculin in cell–cell and cell–matrix adhesions breakdown →
323
11 171
12 129

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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