Trevor Bunch

986 total citations
10 papers, 576 citations indexed

About

Trevor Bunch is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Trevor Bunch has authored 10 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Trevor Bunch's work include Sexual Differentiation and Disorders (10 papers), Hormonal and reproductive studies (8 papers) and Prostate Cancer Treatment and Research (4 papers). Trevor Bunch is often cited by papers focused on Sexual Differentiation and Disorders (10 papers), Hormonal and reproductive studies (8 papers) and Prostate Cancer Treatment and Research (4 papers). Trevor Bunch collaborates with scholars based in United Kingdom, Singapore and United States. Trevor Bunch's co-authors include Ieuan A. Hughes, John Dwyfor Davies, Jane MacDougall, Vickie Pasterski, Kiki Mastroyannopoulou, Rieko Tadokoro‐Cuccaro, Nigel P. Mongan, Olaf Hiort, Ralf Werner and Ngee Lek and has published in prestigious journals such as The Lancet, PLoS ONE and Archives of Disease in Childhood.

In The Last Decade

Trevor Bunch

10 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trevor Bunch United Kingdom 9 475 288 238 100 69 10 576
Rafael Loch Batista Brazil 13 461 1.0× 310 1.1× 252 1.1× 164 1.6× 41 0.6× 44 668
Nathália Lisboa Gomes Brazil 13 448 0.9× 154 0.5× 333 1.4× 141 1.4× 52 0.8× 28 534
Catrienus W. Rouwé Netherlands 9 521 1.1× 382 1.3× 452 1.9× 64 0.6× 54 0.8× 16 783
Daniel F. Gunther United States 12 317 0.7× 184 0.6× 324 1.4× 40 0.4× 43 0.6× 18 646
Joëlle Bignon‐Topalovic France 13 432 0.9× 111 0.4× 427 1.8× 121 1.2× 66 1.0× 25 607
Mette Viuff Denmark 16 428 0.9× 91 0.3× 592 2.5× 61 0.6× 76 1.1× 26 814
Frederico A.Q. Silva Brazil 7 302 0.6× 210 0.7× 166 0.7× 127 1.3× 18 0.3× 8 438
Aki Murashima Japan 11 293 0.6× 49 0.2× 123 0.5× 168 1.7× 94 1.4× 19 490
Ruth McGowan United Kingdom 16 457 1.0× 49 0.2× 379 1.6× 190 1.9× 48 0.7× 43 677
Melissa D. Katz United States 8 286 0.6× 160 0.6× 159 0.7× 117 1.2× 37 0.5× 10 365

Countries citing papers authored by Trevor Bunch

Since Specialization
Citations

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

Fields of papers citing papers by Trevor Bunch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trevor Bunch

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

All Works

10 of 10 papers shown
1.
Lek, Ngee, Rieko Tadokoro‐Cuccaro, Harriet Miles, et al.. (2018). Predicting puberty in partial androgen insensitivity syndrome: Use of clinical and functional androgen receptor indices. EBioMedicine. 36. 401–409. 12 indexed citations
2.
Lek, Ngee, Rieko Tadokoro‐Cuccaro, Harriet Miles, et al.. (2018). Predicting Puberty in Partial Androgen Insensitivity Syndrome: Use of Clinical and Functional Androgen Receptor Indices. SSRN Electronic Journal. 2 indexed citations
3.
Mongan, Nigel P., Rieko Tadokoro‐Cuccaro, Trevor Bunch, & Ieuan A. Hughes. (2015). Androgen insensitivity syndrome. Best Practice & Research Clinical Endocrinology & Metabolism. 29(4). 569–580. 100 indexed citations
4.
Tadokoro‐Cuccaro, Rieko, John Dwyfor Davies, Nigel P. Mongan, et al.. (2014). Promoter-Dependent Activity on Androgen Receptor N-Terminal Domain Mutations in Androgen Insensitivity Syndrome. Sexual Development. 8(6). 339–349. 10 indexed citations
5.
Ammerpohl, Ole, Susanne Bens, Mahesh Appari, et al.. (2013). Androgen Receptor Function Links Human Sexual Dimorphism to DNA Methylation. PLoS ONE. 8(9). e73288–e73288. 25 indexed citations
6.
Elfferich, Peter, Martin E. van Royen, Dennis J. van de Wijngaart, et al.. (2013). Variable Loss of Functional Activities of Androgen Receptor Mutants in Patients with Androgen Insensitivity Syndrome. Sexual Development. 7(5). 223–234. 8 indexed citations
7.
Lek, Ngee, Trevor Bunch, Rieko Tadokoro‐Cuccaro, et al.. (2013). Low frequency of androgen receptor gene mutations in 46 XY DSD, and fetal growth restriction. Archives of Disease in Childhood. 99(4). 358–361. 21 indexed citations
8.
Hughes, Ieuan A., John Dwyfor Davies, Trevor Bunch, et al.. (2012). Androgen insensitivity syndrome. The Lancet. 380(9851). 1419–1428. 308 indexed citations
9.
Werner, Ralf, Trevor Bunch, Olaf Hiort, & Ieuan A. Hughes. (2012). Androgen Insensitivity Syndrome. Seminars in Reproductive Medicine. 30(5). 432–442. 76 indexed citations
10.

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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