Thomas M. Birkenmeier

11 total papers · 840 total citations
11 papers, 728 citations indexed

About

Thomas M. Birkenmeier is a scholar working on Immunology and Allergy, Molecular Biology and Cancer Research. According to data from OpenAlex, Thomas M. Birkenmeier has authored 11 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology and Allergy, 7 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Thomas M. Birkenmeier's work include Cell Adhesion Molecules Research (9 papers), Immune Response and Inflammation (4 papers) and Protease and Inhibitor Mechanisms (3 papers). Thomas M. Birkenmeier is often cited by papers focused on Cell Adhesion Molecules Research (9 papers), Immune Response and Inflammation (4 papers) and Protease and Inhibitor Mechanisms (3 papers). Thomas M. Birkenmeier collaborates with scholars based in United States and France. Thomas M. Birkenmeier's co-authors include Glenn D. Rosen, Jay McQuillan, J.A. McDonald, S S Yamada, Kenneth M. Yamada, Cynthia J. Roberts, W T Chen, Douglas C. Dean, S K Akiyama and A Raz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Thomas M. Birkenmeier

11 papers receiving 707 citations

Author Peers

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

Author						Papers	Cites
Thomas M. Birkenmeier	344	315	151	140	113	11	728
Svante Stenman	236 0.7×	252 0.8×	159 1.1×	137 1.0×	37 0.3×	17	889
Uwe Dietz	108 0.3×	367 1.2×	123 0.8×	72 0.5×	50 0.4×	16	702
Shuichi Ikeyama	304 0.9×	547 1.7×	191 1.3×	134 1.0×	27 0.2×	13	901
Ian K. Campbell	194 0.6×	148 0.5×	222 1.5×	59 0.4×	71 0.6×	16	754
Angelo Vacca	116 0.3×	448 1.4×	135 0.9×	104 0.7×	31 0.3×	9	760
Marina Strasly	337 1.0×	487 1.5×	133 0.9×	129 0.9×	21 0.2×	10	907
Lujian Tan	191 0.6×	315 1.0×	220 1.5×	90 0.6×	167 1.5×	12	838
Lawrence H. Chow	168 0.5×	388 1.2×	176 1.2×	74 0.5×	24 0.2×	16	892
A. J. Tigges	157 0.5×	197 0.6×	118 0.8×	133 0.9×	32 0.3×	16	899
NL Kovach	449 1.3×	242 0.8×	64 0.4×	80 0.6×	26 0.2×	8	895

Countries citing papers authored by Thomas M. Birkenmeier

Since Specialization

Citations

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

Fields of papers citing papers by Thomas M. Birkenmeier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas M. Birkenmeier

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Birkenmeier. A scholar is included among the top collaborators of Thomas M. Birkenmeier 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 Thomas M. Birkenmeier. Thomas M. Birkenmeier 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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