Eric M. Tam

23 papers receiving 2.5k citations

Hit Papers

Multi-step pericellular proteolysis controls the transition from individual to collective cancer cell invasion 2007 · 770 citations
7700+8+17Years since publication250500750

Peers

Eric M. Tam
Comparison fields: 5 of 115
  • Immunology and Allergy 498
  • Cancer Research 1.2k
  • Oncology 1.1k
  • Cell Biology 603
  • Hematology 344
Replace Stephen J. Weiss with:
Stephen J. Weiss United States
Hidetoshi Mori United States
Chris D. Madsen Sweden
Mina Fogel Israel
Charlotte Morrison Canada
Vishnu C. Ramani United States
Marcin Iwanicki United States
Ed Roos Netherlands
Paola Spessotto Italy
Georg Brunner Germany
Eric M. Tam relative to Stephen J. Weiss United States Stephen J. Weiss's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eric M. Tam

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric M. Tam. 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 Eric M. Tam. The network helps show where Eric M. Tam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-step pericellular proteolysis controls the transition from individual to collective cancer cell invasion
Hit paper breakdown →
2007770
2
Inflammation Dampened by Gelatinase A Cleavage of Monocyte Chemoattractant Protein-3
Hit paper breakdown →
2000633
3 2004236
4 2008142
5 2004138
6 2002120
7 2007108
8 2004103
9 200082
10 200246
11 200442
12 201338
13 201915
14 19999
15 20089
16 19857
17 20116
18 20196
19 20232
20 20192

About Eric M. Tam

Eric M. Tam is a scholar working on Cancer Research, Oncology, Immunology and Allergy, Molecular Biology and Immunology, having authored 23 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (12 papers), Peptidase Inhibition and Analysis (8 papers), Cell Adhesion Molecules Research (7 papers), Immunotherapy and Immune Responses (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Immune Cell Function and Interaction (3 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Immunology and Allergy (498 citations), Cancer Research (1.2k citations), Oncology (1.1k citations), Cell Biology (603 citations) and Hematology (344 citations). Eric M. Tam has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Christopher M. Overall, M. Sharon Stack, Yi Wu, Georgina S. Butler, G. Angus McQuibban, Ian Clark‐Lewis, Jiang-Hong Gong, Christopher A. McCulloch, Katarina Wolf and Yueying Liu. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Journal of Immunological Methods, Molecular Cancer Therapeutics and Microbiology.

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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