Thomas J. Hayman

73 total papers · 867 total citations
27 papers, 655 citations indexed

About

Thomas J. Hayman is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Thomas J. Hayman has authored 27 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Immunology and 7 papers in Oncology. Recurrent topics in Thomas J. Hayman's work include interferon and immune responses (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Head and Neck Cancer Studies (3 papers). Thomas J. Hayman is often cited by papers focused on interferon and immune responses (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Head and Neck Cancer Studies (3 papers). Thomas J. Hayman collaborates with scholars based in United States, Australia and Germany. Thomas J. Hayman's co-authors include Philip J. Tofilon, Kevin Camphausen, Muhammad Jamal, Joseph N. Contessa, Tamalee Kramp, Barbara H. Rath, Jenna Kahn, Wei Cui, Chatchai Phoomak and Uma Shankavaram and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Physiological Reviews.

In The Last Decade

Thomas J. Hayman

25 papers receiving 650 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas J. Hayman 371 261 169 97 76 27 655
Andrea L. George 379 1.0× 228 0.9× 170 1.0× 101 1.0× 44 0.6× 26 762
Na Tosha Gatson 297 0.8× 185 0.7× 113 0.7× 90 0.9× 68 0.9× 32 600
Pradip Nair 382 1.0× 178 0.7× 226 1.3× 109 1.1× 64 0.8× 22 757
Huihua Zhang 321 0.9× 150 0.6× 363 2.1× 77 0.8× 104 1.4× 38 753
Gia-Shing Shieh 306 0.8× 189 0.7× 205 1.2× 115 1.2× 68 0.9× 19 613
Sherry T. Shu 336 0.9× 153 0.6× 233 1.4× 83 0.9× 113 1.5× 34 734
Gisela Cáceres 361 1.0× 349 1.3× 118 0.7× 93 1.0× 49 0.6× 27 786
Ariel Ramírez-Labrada 318 0.9× 288 1.1× 287 1.7× 68 0.7× 93 1.2× 28 718
Sonia Cellot 409 1.1× 124 0.5× 185 1.1× 79 0.8× 48 0.6× 44 785
Fubiao Kang 232 0.6× 366 1.4× 319 1.9× 150 1.5× 59 0.8× 26 775

Countries citing papers authored by Thomas J. Hayman

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Hayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas J. Hayman

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