M. T. Coleman

17 total papers · 953 total citations
16 papers, 849 citations indexed

About

M. T. Coleman is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, M. T. Coleman has authored 16 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Genetics. Recurrent topics in M. T. Coleman's work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (11 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). M. T. Coleman is often cited by papers focused on Influenza Virus Research Studies (13 papers), Respiratory viral infections research (11 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). M. T. Coleman collaborates with scholars based in United States, Tanzania and Mongolia. M. T. Coleman's co-authors include Walter R. Dowdle, G. C. Schild, R. G. Webster, W. R. Dowdle, W.G. Laver, H. S. Kaye, Stephen C. Schoenbaum, Steven R. Mostow, M. S. Pereira and P. Chakraverty and has published in prestigious journals such as American Journal of Epidemiology, The Journal of Infectious Diseases and Journal of General Virology.

In The Last Decade

M. T. Coleman

14 papers receiving 706 citations

Hit Papers

Influenzavirus neuraminid... 1973 2026 1990 2008 1973 100 200 300

Author Peers

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

Author Last Decade Papers Cites
M. T. Coleman 762 196 163 163 162 16 849
W. R. Dowdle 658 0.9× 128 0.7× 143 0.9× 131 0.8× 135 0.8× 11 718
M. Ohuchi 579 0.8× 142 0.7× 184 1.1× 103 0.6× 225 1.4× 24 957
Laura Couzens 713 0.9× 191 1.0× 169 1.0× 173 1.1× 147 0.9× 19 829
Fernando Torres‐Velez 542 0.7× 377 1.9× 270 1.7× 84 0.5× 131 0.8× 27 928
Mark A. Yondola 705 0.9× 366 1.9× 212 1.3× 88 0.5× 172 1.1× 15 851
Robert Mischler 557 0.7× 394 2.0× 272 1.7× 87 0.5× 309 1.9× 12 997
Aaron Farnsworth 783 1.0× 301 1.5× 126 0.8× 109 0.7× 259 1.6× 29 950
Angela Choi 703 0.9× 407 2.1× 301 1.8× 132 0.8× 168 1.0× 23 992
Ritsuko Kubota‐Koketsu 465 0.6× 253 1.3× 200 1.2× 163 1.0× 131 0.8× 32 714
T. Corcoran 519 0.7× 342 1.7× 283 1.7× 161 1.0× 194 1.2× 31 959

Countries citing papers authored by M. T. Coleman

Since Specialization
Citations

This map shows the geographic impact of M. T. Coleman'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 M. T. Coleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. T. Coleman more than expected).

Fields of papers citing papers by M. T. Coleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. T. Coleman

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