H. David Kay

48 total papers · 3.6k total citations
31 papers, 3.0k citations indexed

About

H. David Kay is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, H. David Kay has authored 31 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Immunology. Recurrent topics in H. David Kay's work include Cytokine Signaling Pathways and Interactions (6 papers), Trace Elements in Health (4 papers) and Selenium in Biological Systems (4 papers). H. David Kay is often cited by papers focused on Cytokine Signaling Pathways and Interactions (6 papers), Trace Elements in Health (4 papers) and Selenium in Biological Systems (4 papers). H. David Kay collaborates with scholars based in United States, Russia and Slovakia. H. David Kay's co-authors include Hua Yu, Marcin Kortylewski, Maciej Kujawski, Richard Jove, Shumin Zhang, Guilian Niu, Lynell W. Klassen, Heehyoung Lee, Howard T. Petrie and Andreas Herrmann and has published in prestigious journals such as Science, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

H. David Kay

31 papers receiving 2.9k citations

Hit Papers

Inhibiting Stat3 signalin... 2005 2026 2012 2019 2005 2005 250 500 750

Author Peers

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

Author Last Decade Papers Cites
H. David Kay 1.6k 1.2k 968 515 319 31 3.0k
Daniel J. Gough 1.3k 0.9× 1.1k 0.9× 1.6k 1.6× 605 1.2× 282 0.9× 45 3.4k
Subrata Haldar 1.5k 1.0× 812 0.7× 2.5k 2.5× 511 1.0× 408 1.3× 40 3.9k
Eric Caldenhoven 1.4k 0.9× 1.2k 1.0× 1.1k 1.1× 675 1.3× 249 0.8× 35 3.0k
Kenji Ichiyama 793 0.5× 2.3k 1.9× 1.0k 1.0× 359 0.7× 413 1.3× 30 3.6k
Claudia Friesen 1.1k 0.7× 692 0.6× 2.5k 2.6× 506 1.0× 191 0.6× 40 3.5k
Roy A. Fava 1.1k 0.7× 1.6k 1.3× 1.5k 1.6× 383 0.7× 120 0.4× 35 4.0k
Malay Mandal 682 0.4× 1.1k 0.9× 1.4k 1.4× 829 1.6× 157 0.5× 51 3.3k
Deborah J. Veis 702 0.4× 1.1k 0.9× 2.3k 2.4× 405 0.8× 245 0.8× 43 4.0k
Laurie B. Owen‐Schaub 1.6k 1.0× 1.6k 1.3× 2.4k 2.5× 586 1.1× 202 0.6× 52 4.2k
William E. Thierfelder 2.1k 1.3× 2.1k 1.7× 1.1k 1.1× 380 0.7× 235 0.7× 17 3.8k

Countries citing papers authored by H. David Kay

Since Specialization
Citations

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

Fields of papers citing papers by H. David Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. David Kay. 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 H. David Kay. The network helps show where H. David Kay may publish in the future.

Co-authorship network of co-authors of H. David Kay

This figure shows the co-authorship network connecting the top 25 collaborators of H. David Kay. A scholar is included among the top collaborators of H. David Kay 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 H. David Kay. H. David Kay 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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