Thomas Layman

431 total citations
9 papers, 250 citations indexed

About

Thomas Layman is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Thomas Layman has authored 9 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 2 papers in Plant Science. Recurrent topics in Thomas Layman's work include Epigenetics and DNA Methylation (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Genetic Syndromes and Imprinting (2 papers). Thomas Layman is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Genetic Syndromes and Imprinting (2 papers). Thomas Layman collaborates with scholars based in United States, Japan and Spain. Thomas Layman's co-authors include Soojin V. Yi, Paramita Chatterjee, Hyeonsoo Jeong, Noriyoshi Usui, Connor Douglas, Iksoo Huh, Kazuya Toriumi, Geneviève Konopka, Stefano Berto and Isabel Mendizabal and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Genome Research.

In The Last Decade

Thomas Layman

9 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Layman United States 9 139 79 28 24 19 9 250
Rebecca Tippner-Hedges United States 6 380 2.7× 106 1.3× 27 1.0× 14 0.6× 9 0.5× 6 494
Shilpa Pathak India 10 194 1.4× 158 2.0× 8 0.3× 24 1.0× 17 0.9× 22 439
Matthew S. Bramble United States 9 126 0.9× 115 1.5× 4 0.1× 21 0.9× 7 0.4× 15 308
Katherine W. Saylor United States 10 138 1.0× 62 0.8× 7 0.3× 23 1.0× 5 0.3× 21 373
Christine Lafleur Canada 8 505 3.6× 181 2.3× 10 0.4× 41 1.7× 9 0.5× 13 701
Hernán Guillermo Hernández Colombia 8 188 1.4× 59 0.7× 10 0.4× 41 1.7× 16 0.8× 14 300
Maximilian Fitz-James France 3 186 1.3× 55 0.7× 5 0.2× 27 1.1× 17 0.9× 6 314
D. Curtis Jamison United States 10 228 1.6× 162 2.1× 22 0.8× 23 1.0× 6 0.3× 15 415
Gudrun von Scheven Germany 10 261 1.9× 76 1.0× 10 0.4× 16 0.7× 11 0.6× 14 356
Akira Oike Japan 10 111 0.8× 69 0.9× 11 0.4× 21 0.9× 9 0.5× 18 292

Countries citing papers authored by Thomas Layman

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Layman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Layman

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Layman. A scholar is included among the top collaborators of Thomas Layman 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 Layman. Thomas Layman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Jeong, Hyeonsoo, Nicole M. Baran, Dan Sun, et al.. (2022). Dynamic molecular evolution of a supergene with suppressed recombination in white-throated sparrows. eLife. 11. 10 indexed citations
2.
Sun, Dan, Thomas Layman, Hyeonsoo Jeong, et al.. (2021). Genome‐wide variation in DNA methylation linked to developmental stage and chromosomal suppression of recombination in white‐throated sparrows. Molecular Ecology. 30(14). 3453–3467. 13 indexed citations
3.
Jeong, Hyeonsoo, Isabel Mendizabal, Stefano Berto, et al.. (2021). Evolution of DNA methylation in the human brain. Nature Communications. 12(1). 2021–2021. 62 indexed citations
4.
Layman, Thomas, Devika Singh, Dorothée Huchon, et al.. (2020). Myxosporea (Myxozoa, Cnidaria) Lack DNA Cytosine Methylation. Molecular Biology and Evolution. 38(2). 393–404. 16 indexed citations
5.
Sun, Dan, Donna L. Maney, Thomas Layman, Paramita Chatterjee, & Soojin V. Yi. (2019). Regional epigenetic differentiation of the Z Chromosome between sexes in a female heterogametic system. Genome Research. 29(10). 1673–1684. 14 indexed citations
6.
Mendizabal, Isabel, Stefano Berto, Noriyoshi Usui, et al.. (2019). Cell type-specific epigenetic links to schizophrenia risk in the brain. Genome biology. 20(1). 135–135. 69 indexed citations
7.
Kirchenbaum, Greg A., James D. Allen, Thomas Layman, Giuseppe A. Sautto, & Ted M. Ross. (2017). Infection of Ferrets with Influenza Virus Elicits a Light Chain–Biased Antibody Response against Hemagglutinin. The Journal of Immunology. 199(11). 3798–3807. 22 indexed citations
8.
Layman, Thomas, et al.. (2009). Education of the Rural Surgeon: Experience from Tennessee. Surgical Clinics of North America. 89(6). 1313–1319. 15 indexed citations
9.
Layman, Thomas, et al.. (1997). Traumatic abdominal aortic pseudoaneurysm causing biliary obstruction: A case report and review of the literature. Journal of Vascular Surgery. 25(5). 936–940. 29 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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