Todd S. Davidson

48 total papers · 6.2k total citations
30 papers, 4.0k citations indexed

About

Todd S. Davidson is a scholar working on Immunology, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Todd S. Davidson has authored 30 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 6 papers in Computational Mechanics and 6 papers in Aerospace Engineering. Recurrent topics in Todd S. Davidson's work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (13 papers) and Immunotherapy and Immune Responses (8 papers). Todd S. Davidson is often cited by papers focused on Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (13 papers) and Immunotherapy and Immune Responses (8 papers). Todd S. Davidson collaborates with scholars based in United States, United Kingdom and Croatia. Todd S. Davidson's co-authors include Ethan M. Shevach, John Andersson, John J. O’Shea, Richard J. DiPaolo, Arian Laurence, Yuka Kanno, Richard M. Siegel, Françoise Meylan, Zhengju Yao and Cristina M. Tato and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

Todd S. Davidson

29 papers receiving 3.9k citations

Hit Papers

Interleukin-2 Signaling v... 2007 2026 2013 2019 2007 2019 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Todd S. Davidson 3.0k 621 608 289 286 30 4.0k
Caroline E. Sutton 2.9k 1.0× 933 1.5× 393 0.6× 311 1.1× 193 0.7× 25 4.1k
Meike Mitsdoerffer 3.5k 1.2× 595 1.0× 1.0k 1.7× 548 1.9× 260 0.9× 27 4.7k
Anne Brüstle 2.0k 0.6× 554 0.9× 466 0.8× 225 0.8× 219 0.8× 35 2.8k
Amy E. Juedes 1.9k 0.6× 480 0.8× 479 0.8× 259 0.9× 292 1.0× 22 2.8k
Carlos E. Tadokoro 4.1k 1.4× 795 1.3× 740 1.2× 379 1.3× 138 0.5× 45 5.3k
Sylvia Heink 1.8k 0.6× 931 1.5× 592 1.0× 305 1.1× 209 0.7× 23 3.0k
Li Ma 3.4k 1.1× 1.0k 1.6× 656 1.1× 320 1.1× 106 0.4× 35 4.6k
Andrea Reboldi 1.9k 0.6× 909 1.5× 454 0.7× 326 1.1× 344 1.2× 30 3.2k
Dirk Baumjohann 2.4k 0.8× 890 1.4× 527 0.9× 364 1.3× 373 1.3× 45 3.7k
Cédric Auffray 4.1k 1.4× 1.3k 2.0× 875 1.4× 213 0.7× 609 2.1× 40 5.8k

Countries citing papers authored by Todd S. Davidson

Since Specialization
Citations

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

Fields of papers citing papers by Todd S. Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd S. Davidson. 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 Todd S. Davidson. The network helps show where Todd S. Davidson may publish in the future.

Co-authorship network of co-authors of Todd S. Davidson

This figure shows the co-authorship network connecting the top 25 collaborators of Todd S. Davidson. A scholar is included among the top collaborators of Todd S. Davidson 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 Todd S. Davidson. Todd S. Davidson 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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