Martin A. Schwartz

59.4k citations
409 papers · 46.8k indexed · 22 hit papers · h-index 107
Topics
Cell Adhesion Molecules Research (125 papers)Cellular Mechanics and Interactions (97 papers)Protein Kinase Regulation and GTPase Signaling (45 papers)

In The Last Decade

Martin A. Schwartz

394 papers receiving 45.5k citations

Hit Papers

Cell Migration: Integrating Signals fr...19752026199220092003201420101995199310002.0k3.0k

Peers

Martin A. Schwartz
Comparison fields: 5 of 195
  • Molecular Biology 22.6k
  • Cell Biology 19.2k
  • Immunology and Allergy 12.4k
  • Biomedical Engineering 5.5k
  • Oncology 4.7k
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Martin A. Schwartz relative to Keith Burridge United States Keith Burridge's profile →
Citations per field
00.5×3.0×
Keith Burridge · 1×
Citations per year

Countries citing papers authored by Martin A. Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Martin A. Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin A. Schwartz. 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 Martin A. Schwartz. The network helps show where Martin A. Schwartz may publish in the future.

Co-authorship network of co-authors of Martin A. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Martin A. Schwartz. A scholar is included among the top collaborators of Martin A. Schwartz 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 Martin A. Schwartz. Martin A. Schwartz 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
#WorkIndexed citations
1 31
2 31
3 39
4 17
5 28
6 13
7 48
8
Endothelial fluid shear stress sensing in vascular health and diseasebreakdown →
423
9 232
10 3
11 232
12 56
13 105
14 79
15 61
16 62
17 42
18 118
19
A mechanosensory complex that mediates the endothelial cell response to fluid shear stressbreakdown →
1038
20 29

About Martin A. Schwartz

Martin A. Schwartz is a scholar working on Immunology and Allergy, Cell Biology and Cancer Research, having authored 409 papers that have together received 46.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (125 papers), Cellular Mechanics and Interactions (97 papers) and Protein Kinase Regulation and GTPase Signaling (45 papers). The work is most often cited by research in Immunology and Allergy (12.4k citations), Cell Biology (19.2k citations) and Molecular Biology (22.6k citations). Martin A. Schwartz has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Alan Rick Horwitz, Mark H. Ginsberg, Jay D. Humphrey, William B. Kiosses, Jere E. Meredith, Cornelia Hahn, Eric R. Dufresne, J. Thomas Parsons, Bahare Fazeli and Keith Burridge. Their work appears in journals such as Nature, Science and Cell.

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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