Eugene E. Marcantonio

4.4k citations
55 papers · 3.9k · h-index 28

Impact in

Papers in

Eugene E. Marcantonio

54 papers receiving 3.7k citations

Peers

Eugene E. Marcantonio
Comparison fields: 5 of 120
  • Immunology and Allergy 1.9k
  • Cell Biology 1.6k
  • Cancer Research 458
  • Molecular Biology 1.7k
  • Immunology 471
Replace Scott A. Weed with:
Scott A. Weed United States
Cezary Marcinkiewicz United States
Su Hao Lo United States
Magdalena Chrzanowska‐Wodnicka United States
Thomas B. Shows United States
Satyajit K. Mitra United States
Adam Byron United Kingdom
Karen H. Martin United States
Tetsuya Nakamoto Japan
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Citations per field
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Citations per year

Countries citing papers authored by Eugene E. Marcantonio

Since Specialization
Citations

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

Fields of papers citing papers by Eugene E. Marcantonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene E. Marcantonio. 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 Eugene E. Marcantonio. The network helps show where Eugene E. Marcantonio may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996671
2 2004366
3 1988305
4 1999293
5 2009279
6 1989142
7 2006135
8 1990130
9 2013117
10 1994112
11 1993100
12
The extracellular matrix as a cell cycle control element in atherosclerosis and restenosis.
199790
13 199386
14 198474
15 198469
16 199566
17 199664
18 199963
19 201056
20 201555

About Eugene E. Marcantonio

Eugene E. Marcantonio is a scholar working on Immunology and Allergy, Cell Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 55 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (29 papers), Cellular Mechanics and Interactions (14 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Protease and Inhibitor Mechanisms (8 papers), Biochemical and Structural Characterization (5 papers), Migraine and Headache Studies (5 papers), Immune Response and Inflammation (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Immunology and Allergy (1.9k citations), Cell Biology (1.6k citations), Cancer Research (458 citations), Molecular Biology (1.7k citations) and Immunology (471 citations). Eugene E. Marcantonio has collaborated with scholars based in United States, Belgium and South Korea. Frequent co-authors include Richard O. Hynes, Gregg G. Gundersen, Fabrizio Mainiero, Kishore K. Wary, Steven Jay Isakoff, Filippo G. Giancotti, Roger Briesewitz, Richard K. Assoian, Andreas Kern and Lubomir B. Smilenov. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Journal of Cellular Physiology, Neurology and Journal of Biological Chemistry.

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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