G. Thomas Hayman

11.1k 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, Poland and United Kingdom. G. Thomas Hayman's co-authors include Stephen K. Farrand, Melinda R. Dwinell, Stanley J. F. Laulederkind, Jennifer R. Smith, Mary Shimoyama, Susanne B. von Bodman, 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Thomas Hayman United States 23 984 293 209 96 93 53 1.4k
Brad Marshall United States 4 954 1.0× 209 0.7× 212 1.0× 47 0.5× 119 1.3× 4 1.4k
Abhishek Kumar India 23 688 0.7× 157 0.5× 200 1.0× 65 0.7× 104 1.1× 134 1.5k
Glenn K. Fu United States 14 1.1k 1.1× 399 1.4× 428 2.0× 51 0.5× 127 1.4× 23 1.9k
Nick Owens United Kingdom 20 931 0.9× 167 0.6× 129 0.6× 55 0.6× 198 2.1× 36 1.3k
Eugene Kulesha United Kingdom 13 1.4k 1.4× 432 1.5× 169 0.8× 54 0.6× 70 0.8× 13 1.8k
Didier Busso France 18 1.2k 1.3× 238 0.8× 91 0.4× 42 0.4× 90 1.0× 47 1.5k
Greg Tucker‐Kellogg Singapore 16 1.2k 1.2× 201 0.7× 90 0.4× 70 0.7× 79 0.8× 29 1.5k
Marcello Maresca Sweden 21 1.4k 1.5× 485 1.7× 133 0.6× 190 2.0× 49 0.5× 36 1.7k
Ursula Müller Germany 25 733 0.7× 222 0.8× 145 0.7× 55 0.6× 156 1.7× 52 1.5k
Lawrence E. Heisler Canada 21 1.5k 1.5× 359 1.2× 185 0.9× 40 0.4× 184 2.0× 31 2.2k

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

20 of 20 papers shown
1.
Smith, Jennifer R., Marek Tutaj, Jyothi Thota, et al.. (2025). Standardized pipelines support and facilitate integration of diverse datasets at the Rat Genome Database. Database. 2025.
2.
Kaldunski, Mary L., Jennifer R. Smith, Jeffrey L De Pons, et al.. (2023). Rare disease research resources at the Rat Genome Database. Genetics. 224(4). 2 indexed citations
3.
Vedi, Mahima, Jennifer R. Smith, G. Thomas Hayman, et al.. (2023). 2022 updates to the Rat Genome Database: a Findable, Accessible, Interoperable, and Reusable (FAIR) resource. Genetics. 224(1). 27 indexed citations
4.
Laulederkind, Stanley J. F., G. Thomas Hayman, Shur‐Jen Wang, et al.. (2023). The Rat Genome Database: Genetic, Genomic, and Phenotypic Data Across Multiple Species. Current Protocols. 3(6). e804–e804. 4 indexed citations
5.
Wang, Shur‐Jen, Jeffrey L De Pons, Wendy Demos, et al.. (2022). Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal. Genes. 13(12). 2304–2304. 1 indexed citations
6.
Kaldunski, Mary L., Jennifer R. Smith, G. Thomas Hayman, et al.. (2021). The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research. Mammalian Genome. 33(1). 66–80. 9 indexed citations
7.
Laulederkind, Stanley J. F., G. Thomas Hayman, Shur‐Jen Wang, et al.. (2019). Rat Genome Databases, Repositories, and Tools. Methods in molecular biology. 2018. 71–96. 14 indexed citations
8.
Hayman, G. Thomas, Stanley J. F. Laulederkind, Jennifer R. Smith, et al.. (2016). The Disease Portals, disease–gene annotation and the RGD disease ontology at the Rat Genome Database. Database. 2016. baw034–baw034. 22 indexed citations
9.
Shimoyama, Mary, Jeff De Pons, G. Thomas Hayman, et al.. (2014). The Rat Genome Database 2015: genomic, phenotypic and environmental variations and disease. Nucleic Acids Research. 43(D1). D743–D750. 164 indexed citations
10.
Laulederkind, Stanley J. F., G. Thomas Hayman, Shuu‐Jiun Wang, et al.. (2013). The Rat Genome Database 2013--data, tools and users. Briefings in Bioinformatics. 14(4). 520–526. 55 indexed citations
11.
Wang, Shur‐Jen, Stanley J. F. Laulederkind, G. Thomas Hayman, et al.. (2013). Analysis of disease-associated objects at the Rat Genome Database. Database. 2013. bat046–bat046. 6 indexed citations
12.
Laulederkind, Stanley J. F., Mary Shimoyama, G. Thomas Hayman, et al.. (2011). The Rat Genome Database curation tool suite: a set of optimized software tools enabling efficient acquisition, organization, and presentation of biological data. Database. 2011(0). bar002–bar002. 12 indexed citations
13.
Petri, V., G. Thomas Hayman, Jennifer R. Smith, et al.. (2011). The Rat Genome Database Pathway Portal. Database. 2011(0). bar010–bar010. 16 indexed citations
14.
Shimoyama, Mary, G. Thomas Hayman, Stanley J. F. Laulederkind, et al.. (2009). The Rat Genome Database Curators: Who, What, Where, Why. PLoS Computational Biology. 5(11). e1000582–e1000582. 21 indexed citations
15.
Unsworth, Brian R., et al.. (1999). Tissue‐specific alternative mRNA splicing ofphenylethanolamine n‐methyltransferase (PNMT) duringdevelopment by intron RETENTION. International Journal of Developmental Neuroscience. 17(1). 45–55. 30 indexed citations
16.
Lelkes, Peter I., Daniel L. Galvan, G. Thomas Hayman, et al.. (1998). Simulated microgravity conditions enhance differentiation of cultured PC12 cells towards the neuroendocrine phenotype. In Vitro Cellular & Developmental Biology - Animal. 34(4). 316–325. 65 indexed citations
17.
Miernyk, Ján A. & G. Thomas Hayman. (1996). ATPase Activity and Molecular Chaperone Function of the Stress70 Proteins. PLANT PHYSIOLOGY. 110(2). 419–424. 30 indexed citations
18.
Zhou, Rui, Barbara Kroczyńska, G. Thomas Hayman, & Ján A. Miernyk. (1995). AtJ2, an Arabidopsis Homolog of Escherichia coli dnaJ. PLANT PHYSIOLOGY. 108(2). 821–822. 25 indexed citations
19.
Hayman, G. Thomas, Susanne B. von Bodman, Sun Kim, Pengfei Jiang, & Stephen K. Farrand. (1993). Genetic analysis of the agrocinopine catabolic region of Agrobacterium tumefaciens Ti plasmid pTiC58, which encodes genes required for opine and agrocin 84 transport. Journal of Bacteriology. 175(17). 5575–5584. 32 indexed citations
20.
Bodman, Susanne B. von, G. Thomas Hayman, & Stephen K. Farrand. (1992). Opine catabolism and conjugal transfer of the nopaline Ti plasmid pTiC58 are coordinately regulated by a single repressor.. Proceedings of the National Academy of Sciences. 89(2). 643–647. 128 indexed citations

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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