Matthew DeBerge

1.7k citations
32 papers · 1.2k · h-index 18

Impact in

Papers in

    • Immune cells in cancer 12
    • Phagocytosis and Immune Regulation 11
    • Immune Cell Function and Interaction 4
    • Immune Response and Inflammation 4
    • Cardiac Fibrosis and Remodeling 8
    • Cardiovascular Function and Risk Factors 3

Matthew DeBerge

31 papers receiving 1.2k citations

Peers

Matthew DeBerge
Comparison fields: 5 of 82
  • Immunology 675
  • Cardiology and Cardiovascular Medicine 332
  • Neurology 56
  • Cancer Research 91
  • Molecular Biology 400
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Kassandra Weber United States
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Citations per field
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Citations per year

Countries citing papers authored by Matthew DeBerge

Since Specialization
Citations

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

Fields of papers citing papers by Matthew DeBerge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018319
2 2017167
3 201981
4 202172
5 201966
6 201957
7 202147
8 201744
9 201544
10 201439
11 202330
12 201729
13 201528
14 201327
15 201626
16 201826
17 201522
18 201919
19 201414
20 201412

About Matthew DeBerge

Matthew DeBerge is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Epidemiology, Molecular Biology and Infectious Diseases, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune cells in cancer (12 papers), Phagocytosis and Immune Regulation (11 papers), Cardiac Fibrosis and Remodeling (8 papers), Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (4 papers), Cardiovascular Function and Risk Factors (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Immunology (675 citations), Cardiology and Cardiovascular Medicine (332 citations), Neurology (56 citations), Cancer Research (91 citations) and Molecular Biology (400 citations). Matthew DeBerge has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Edward B. Thorp, Shuang Zhang, Lisa D. Wilsbacher, Richard I. Enelow, Laurent Yvan‐Charvet, Anastasiia Gainullina, Matthew J. Schipma, Issam Ben‐Sahra, Paul T. Schumacker and Samuel E. Weinberg. Their work appears in journals such as The Journal of Immunology, JACC Basic to Translational Science, PLoS ONE, Cell Metabolism and Journal of Molecular and Cellular Cardiology.

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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