Michael J. Brubaker

44 total papers · 533 total citations
28 papers, 456 citations indexed

About

Michael J. Brubaker is a scholar working on Molecular Biology, Cancer Research and Immunology and Allergy. According to data from OpenAlex, Michael J. Brubaker has authored 28 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Cancer Research and 9 papers in Immunology and Allergy. Recurrent topics in Michael J. Brubaker's work include Protease and Inhibitor Mechanisms (11 papers), Cell Adhesion Molecules Research (6 papers) and Peptidase Inhibition and Analysis (5 papers). Michael J. Brubaker is often cited by papers focused on Protease and Inhibitor Mechanisms (11 papers), Cell Adhesion Molecules Research (6 papers) and Peptidase Inhibition and Analysis (5 papers). Michael J. Brubaker collaborates with scholars based in United States, Vietnam and Canada. Michael J. Brubaker's co-authors include William C. Groutas, James P. Crowley, John R. Hoidal, Tien L. Huang, R. Venkataraman, N. V. Rao, Min K. Moi, Erik Schatz, Jeffrey B. Epp and Robert T. Carroll and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Michael J. Brubaker

28 papers receiving 438 citations

Author Peers

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

Author Last Decade Papers Cites
Michael J. Brubaker 170 148 135 135 90 28 456
Angela Wong 261 1.5× 60 0.4× 165 1.2× 32 0.2× 49 0.5× 13 539
Ernest Duah 147 0.9× 53 0.4× 19 0.1× 24 0.2× 35 0.4× 14 406
Bohdan Yaremko 309 1.8× 130 0.9× 113 0.8× 71 0.5× 148 1.6× 19 537
Larry L. Froelich 174 1.0× 125 0.8× 52 0.4× 12 0.1× 41 0.5× 28 498
Mikhail Kolosov 223 1.3× 59 0.4× 16 0.1× 55 0.4× 169 1.9× 21 495
Seong Soo An 330 1.9× 63 0.4× 64 0.5× 203 1.5× 47 0.5× 17 535
Marcel Koenig 278 1.6× 119 0.8× 93 0.7× 37 0.3× 150 1.7× 17 495
Minehiko Yokoyama 291 1.7× 31 0.2× 150 1.1× 56 0.4× 50 0.6× 23 531
James J. Perkins 211 1.2× 174 1.2× 127 0.9× 34 0.3× 50 0.6× 19 482
Marta Stasiak 258 1.5× 62 0.4× 57 0.4× 82 0.6× 98 1.1× 19 499

Countries citing papers authored by Michael J. Brubaker

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Brubaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Brubaker. 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 Michael J. Brubaker. The network helps show where Michael J. Brubaker may publish in the future.

Co-authorship network of co-authors of Michael J. Brubaker

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Brubaker. A scholar is included among the top collaborators of Michael J. Brubaker 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 Michael J. Brubaker. Michael J. Brubaker 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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