Temet M. McMichael

33 total papers · 4.7k total citations
18 papers, 868 citations indexed

About

Temet M. McMichael is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Temet M. McMichael has authored 18 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 6 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Temet M. McMichael's work include interferon and immune responses (11 papers), Influenza Virus Research Studies (4 papers) and COVID-19 and Mental Health (3 papers). Temet M. McMichael is often cited by papers focused on interferon and immune responses (11 papers), Influenza Virus Research Studies (4 papers) and COVID-19 and Mental Health (3 papers). Temet M. McMichael collaborates with scholars based in United States, Canada and France. Temet M. McMichael's co-authors include Jacob S. Yount, Nicholas M. Chesarino, Jocelyn C. Hach, Adam D. Kenney, Mahesh Chemudupati, Lizhi Zhang, Ashley Zani, Li Wu, Howard C. Hang and Alex A. Compton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Temet M. McMichael

18 papers receiving 855 citations

Author Peers

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

Author Last Decade Papers Cites
Temet M. McMichael 519 300 293 263 78 18 868
Adam D. Kenney 440 0.8× 324 1.1× 254 0.9× 381 1.4× 46 0.6× 32 933
Erin M. McCartney 284 0.5× 216 0.7× 235 0.8× 146 0.6× 72 0.9× 22 746
Rutger D. Luteijn 529 1.0× 270 0.9× 209 0.7× 147 0.6× 122 1.6× 19 807
Paul D. De Jesus 415 0.8× 407 1.4× 152 0.5× 255 1.0× 101 1.3× 17 934
Leiyun Weng 477 0.9× 488 1.6× 185 0.6× 143 0.5× 37 0.5× 22 871
Martin Baril 324 0.6× 319 1.1× 173 0.6× 103 0.4× 57 0.7× 15 710
Hana Schmeisser 384 0.7× 319 1.1× 184 0.6× 154 0.6× 76 1.0× 24 822
Heather J. Ezelle 400 0.8× 360 1.2× 329 1.1× 129 0.5× 119 1.5× 22 1.0k
Matthias Budt 585 1.1× 244 0.8× 527 1.8× 118 0.4× 40 0.5× 23 1.0k
Alexander von der Malsburg 475 0.9× 464 1.5× 307 1.0× 97 0.4× 82 1.1× 13 1.0k

Countries citing papers authored by Temet M. McMichael

Since Specialization
Citations

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

Fields of papers citing papers by Temet M. McMichael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Temet M. McMichael

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