G. Thomas Hayman

81 total papers · 10.9k total citations
53 papers, 1.4k citations indexed

About

G. Thomas Hayman is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, G. Thomas Hayman has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Pharmacology. Recurrent topics in G. Thomas Hayman's work include Bioinformatics and Genomic Networks (26 papers), Biomedical Text Mining and Ontologies (19 papers) and Gene expression and cancer classification (15 papers). G. Thomas Hayman is often cited by papers focused on Bioinformatics and Genomic Networks (26 papers), Biomedical Text Mining and Ontologies (19 papers) and Gene expression and cancer classification (15 papers). G. Thomas Hayman collaborates with scholars based in United States, Japan and Poland. G. Thomas Hayman's co-authors include Stephen K. Farrand, Melinda R. Dwinell, Stanley J. F. Laulederkind, Jennifer R. Smith, Susanne B. von Bodman, Mary Shimoyama, Shur‐Jen Wang, Paul L. Bolen, Marek Tutaj and Jeff De Pons and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLANT PHYSIOLOGY.

In The Last Decade

G. Thomas Hayman

51 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
G. Thomas Hayman	985	292	209	96	92	53	1.4k
Jan Schröder	882 0.9×	200 0.7×	185 0.9×	51 0.5×	90 1.0×	37	1.3k
Gunn‐Guang Liou	1.0k 1.0×	226 0.8×	169 0.8×	82 0.9×	83 0.9×	46	1.5k
Kai Dang	700 0.7×	196 0.7×	162 0.8×	152 1.6×	85 0.9×	72	1.6k
Di Zhang	1.2k 1.2×	285 1.0×	223 1.1×	43 0.4×	70 0.8×	46	1.5k
Ines Müller	583 0.6×	344 1.2×	196 0.9×	55 0.6×	144 1.6×	34	1.3k
Abderrahman Maftah	963 1.0×	197 0.7×	99 0.5×	106 1.1×	142 1.5×	54	1.4k
J. Klose	1.2k 1.2×	325 1.1×	145 0.7×	84 0.9×	64 0.7×	38	1.8k
Hiroko Toda	936 1.0×	247 0.8×	157 0.8×	90 0.9×	85 0.9×	73	1.4k
Ying Zhang	1.2k 1.3×	246 0.8×	207 1.0×	70 0.7×	107 1.2×	89	1.8k
Wen Wang	763 0.8×	210 0.7×	102 0.5×	151 1.6×	118 1.3×	72	1.6k

Countries citing papers authored by G. Thomas Hayman

Since Specialization

Citations

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

Fields of papers citing papers by G. Thomas Hayman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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