William T. Gibson

9.6k total citations
157 papers, 5.5k citations indexed

About

William T. Gibson is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, William T. Gibson has authored 157 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 43 papers in Epidemiology and 42 papers in Genetics. Recurrent topics in William T. Gibson's work include Cytomegalovirus and herpesvirus research (29 papers), Herpesvirus Infections and Treatments (23 papers) and Epigenetics and DNA Methylation (14 papers). William T. Gibson is often cited by papers focused on Cytomegalovirus and herpesvirus research (29 papers), Herpesvirus Infections and Treatments (23 papers) and Epigenetics and DNA Methylation (14 papers). William T. Gibson collaborates with scholars based in Canada, United States and United Kingdom. William T. Gibson's co-authors include Anthony Welch, Luke McNally, Stephen O’Rahilly, I. Sadaf Farooqi, A Irmiere, Matthew C. Gibson, J H Shaper, Rebecca Trussell, Scott H. Kaufmann and Clinton Roby and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

William T. Gibson

152 papers receiving 5.3k citations

Peers

William T. Gibson

EPIDE

GENET

PHYSI

EAS

Gene B. Hubbard United States

John L. VandeBerg United States

William H. Miller United States

Jun Ohashi Japan

Kenichi Takahashi Japan

Yasuhiro Yoshikawa Japan

Marcelo B. Soares United States

Carol K. Petito United States

Michael E. Greenberg United States

Alan Fine United States

Gene B. Hubbard United States

William T. Gibson

1.8k ×0.9

1.4k ×0.7

EPIDE

784 ×0.7

GENET

1.4k ×2.5

PHYSI

431 ×0.8

EAS

Citations per year, relative to William T. Gibson William T. Gibson (= 1×) peers Gene B. Hubbard

Countries citing papers authored by William T. Gibson

Since Specialization

Citations

This map shows the geographic impact of William T. Gibson'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 William T. Gibson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Gibson more than expected).

Fields of papers citing papers by William T. Gibson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William T. Gibson. 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 William T. Gibson. The network helps show where William T. Gibson may publish in the future.

Co-authorship network of co-authors of William T. Gibson

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

All Works

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20 of 20 papers shown

Gibson, William T., Sanne Janssen, B. Adair, et al.. (2025). Minimally Humanized Ezh2 Exon-18 Mouse Cell Lines Validate Preclinical CRISPR/Cas9 Approach to Treat Weaver Syndrome. Human Gene Therapy. 36(5-6). 618–627.

Gamu, Daniel, et al.. (2024). Maintenance of thermogenic adipose tissues despite loss of the H3K27 acetyltransferases p300 or CBP. American Journal of Physiology-Endocrinology and Metabolism. 327(4). E459–E468. 2 indexed citations

Shen, Yaoqing, Katherine Dixon, Andrew Galbraith, et al.. (2024). Long-read sequencing for detection and subtyping of Prader-Willi and Angelman syndromes. Journal of Medical Genetics. 62(1). 32–36. 2 indexed citations

Merrill, Sarah M., et al.. (2023). Rare diseases of epigenetic origin: Challenges and opportunities. Frontiers in Genetics. 14. 1113086–1113086. 16 indexed citations

Tobon, Alejandro, Reinald Shyti, Carlo Emanuele Villa, et al.. (2023). GTF2I dosage regulates neuronal differentiation and social behavior in 7q11.23 neurodevelopmental disorders. Science Advances. 9(48). eadh2726–eadh2726. 15 indexed citations

Cheroni, Cristina, Sebastiano Trattaro, Nicolò Caporale, et al.. (2022). Benchmarking brain organoid recapitulation of fetal corticogenesis. Translational Psychiatry. 12(1). 520–520. 17 indexed citations

Armstrong, Linlea, Cornelius F. Boerkoel, L. Clarke, et al.. (2021). Somatic mosaicism detected by genome-wide sequencing in 500 parent–child trios with suspected genetic disease: clinical and genetic counseling implications. Molecular Case Studies. 7(6). a006125–a006125. 6 indexed citations

Gill, Harinder, Margaret L. McKinnon, Bertrand Isidor, et al.. (2020). SETD1B-associated neurodevelopmental disorder. Journal of Medical Genetics. 58(3). 196–204. 19 indexed citations

Wu, Dan, Chi Kin Wong, Jonathan M. Han, et al.. (2020). T reg–specific insulin receptor deletion prevents diet-induced and age-associated metabolic syndrome. The Journal of Experimental Medicine. 217(8). 31 indexed citations

10.

Gamu, Daniel & William T. Gibson. (2020). Reciprocal skeletal phenotypes of PRC2-related overgrowth and Rubinstein–Taybi syndromes: potential role of H3K27 modifications. Molecular Case Studies. 6(4). a005058–a005058. 3 indexed citations

11.

Tucker, Lori B., Lovro Lamot, Brian K. Chung, et al.. (2019). Complexity in unclassified auto-inflammatory disease: a case report illustrating the potential for disease arising from the allelic burden of multiple variants. Pediatric Rheumatology. 17(1). 70–70. 5 indexed citations

12.

Yasin, Heba, William T. Gibson, Sylvie Langlois, et al.. (2019). A distinct neurodevelopmental syndrome with intellectual disability, autism spectrum disorder, characteristic facies, and macrocephaly is caused by defects in CHD8. Journal of Human Genetics. 64(4). 271–280. 25 indexed citations

13.

Sabatini, Paul V., Cuilan Nian, Maria M. Glavas, et al.. (2018). Neuronal PAS Domain Protein 4 Suppression of Oxygen Sensing Optimizes Metabolism during Excitation of Neuroendocrine Cells. Cell Reports. 22(1). 163–174. 17 indexed citations

14.

Kaur, Yuvreet, Russell J. de Souza, William T. Gibson, & David Meyre. (2017). A systematic review of genetic syndromes with obesity. Obesity Reviews. 18(6). 603–634. 120 indexed citations

15.

Townsend, Katelin N., Casper Shyr, Allison Matthews, et al.. (2016). Optic atrophy, cataracts, lipodystrophy/lipoatrophy, and peripheral neuropathy caused by a de novo OPA3 mutation. Molecular Case Studies. 3(1). a001156–a001156. 10 indexed citations

16.

Barclay, Sarah, Casey M. Rand, Paul A. Gray, et al.. (2015). Absence of mutations in HCRT, HCRTR1 and HCRTR2 in patients with ROHHAD. Respiratory Physiology & Neurobiology. 221. 59–63. 14 indexed citations

17.

Heiman, Mark L., et al.. (2015). Acylated ghrelin is not required for the surge in pituitary growth hormone observed in pregnant mice. Peptides. 65. 29–33. 7 indexed citations

18.

Baskin, Berivan, Dimitri J. Stavropoulos, Martin Li, et al.. (2014). Complex genomic rearrangements in the dystrophin gene due to replication‐based mechanisms. Molecular Genetics & Genomic Medicine. 2(6). 539–547. 17 indexed citations

19.

Gibson, William T. & Matthew C. Gibson. (2009). Chapter 4 Cell Topology, Geometry, and Morphogenesis in Proliferating Epithelia. Current topics in developmental biology. 89. 87–114. 68 indexed citations

20.

MacDonald, Marcia L.E., Roshni R. Singaraja, Nagat Bissada, et al.. (2007). Absence of stearoyl-CoA desaturase-1 ameliorates features of the metabolic syndrome in LDLR-deficient mice. Journal of Lipid Research. 49(1). 217–229. 53 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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