Matthew DeBerge

52 total papers · 1.7k total citations
32 papers, 1.2k citations indexed

About

Matthew DeBerge is a scholar working on Immunology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Matthew DeBerge has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 11 papers in Cardiology and Cardiovascular Medicine and 6 papers in Epidemiology. Recurrent topics in Matthew DeBerge's work include Immune cells in cancer (12 papers), Phagocytosis and Immune Regulation (11 papers) and Cardiac Fibrosis and Remodeling (8 papers). Matthew DeBerge is often cited by papers focused on Immune cells in cancer (12 papers), Phagocytosis and Immune Regulation (11 papers) and Cardiac Fibrosis and Remodeling (8 papers). Matthew DeBerge collaborates with scholars based in United States, France and Netherlands. Matthew DeBerge's co-authors include Edward B. Thorp, Shuang Zhang, Lisa D. Wilsbacher, Richard I. Enelow, Laurent Yvan‐Charvet, David Gius, Matthew J. Schipma, Samuel E. Weinberg, Anastasiia Gainullina and Navdeep S. Chandel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Matthew DeBerge

31 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew DeBerge 650 391 323 181 177 32 1.2k
Dragana Dragoljevic 497 0.8× 442 1.1× 193 0.6× 108 0.6× 274 1.5× 24 1.1k
Steven Pfau 488 0.8× 277 0.7× 262 0.8× 117 0.6× 165 0.9× 31 1.1k
Laurent Burnier 393 0.6× 473 1.2× 163 0.5× 160 0.9× 72 0.4× 28 1.3k
Youan Liu 246 0.4× 457 1.2× 351 1.1× 95 0.5× 160 0.9× 32 1.0k
Seiichi Kobayashi 335 0.5× 255 0.7× 195 0.6× 251 1.4× 212 1.2× 34 1.3k
Kiminori Kato 305 0.5× 275 0.7× 568 1.8× 128 0.7× 110 0.6× 39 1.2k
Xiao Meng 491 0.8× 473 1.2× 283 0.9× 155 0.9× 88 0.5× 41 1.3k
Salma Kotti 356 0.5× 263 0.7× 339 1.0× 148 0.8× 143 0.8× 25 957
Janet Chamberlain 336 0.5× 444 1.1× 188 0.6× 234 1.3× 178 1.0× 29 1.2k
Greta J. Sawyer 315 0.5× 558 1.4× 205 0.6× 219 1.2× 92 0.5× 48 1.2k

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-authorship network of co-authors of Matthew DeBerge

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

All Works

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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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