Greg Williams

2.1k total citations
47 papers, 1.3k citations indexed

About

Greg Williams is a scholar working on Epidemiology, Dermatology and Urology. According to data from OpenAlex, Greg Williams has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 12 papers in Dermatology and 11 papers in Urology. Recurrent topics in Greg Williams's work include Hair Growth and Disorders (11 papers), Wound Healing and Treatments (8 papers) and Drug-Induced Adverse Reactions (6 papers). Greg Williams is often cited by papers focused on Hair Growth and Disorders (11 papers), Wound Healing and Treatments (8 papers) and Drug-Induced Adverse Reactions (6 papers). Greg Williams collaborates with scholars based in United Kingdom, United States and Canada. Greg Williams's co-authors include Jonathan C. Craig, Petra Macaskill, David Isaacs, Andrew Hayen, Claire A. Higgins, Peter F. Sharp, Keith A. Goatman, Alan Fleming, Sam Philip and Aditya K. Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and Scientific Reports.

In The Last Decade

Greg Williams

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Williams United Kingdom 18 320 248 193 186 185 47 1.3k
Rajpal Singh Punia India 19 327 1.0× 61 0.2× 47 0.2× 41 0.2× 82 0.4× 151 1.5k
Antonio Romano Italy 25 471 1.5× 244 1.0× 213 1.1× 19 0.1× 43 0.2× 119 1.8k
Lara Devgan United States 12 372 1.2× 147 0.6× 59 0.3× 15 0.1× 88 0.5× 23 2.4k
N.H. Cox United Kingdom 25 904 2.8× 53 0.2× 52 0.3× 243 1.3× 891 4.8× 74 2.4k
Larry L. Laster United States 28 196 0.6× 135 0.5× 14 0.1× 262 1.4× 54 0.3× 52 2.0k
Hsiu‐Mei Wu Taiwan 33 942 2.9× 354 1.4× 41 0.2× 17 0.1× 29 0.2× 169 3.1k
Chiung‐Hsin Chang Taiwan 27 952 3.0× 111 0.4× 19 0.1× 96 0.5× 30 0.2× 119 3.1k
Mustafa Çetın Türkiye 23 237 0.7× 52 0.2× 47 0.2× 22 0.1× 20 0.1× 120 1.6k
W.H. Doesburg Netherlands 22 196 0.6× 83 0.3× 41 0.2× 197 1.1× 27 0.1× 79 1.6k
M A Spiteri United Kingdom 18 222 0.7× 71 0.3× 45 0.2× 30 0.2× 35 0.2× 50 1.1k

Countries citing papers authored by Greg Williams

Since Specialization
Citations

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

Fields of papers citing papers by Greg Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Williams. A scholar is included among the top collaborators of Greg Williams 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 Greg Williams. Greg Williams 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.
Gupta, Aakar, Mesbah Talukder, Greg Williams, & Mary A. Bamimore. (2026). Oral finasteride use and sexual adverse events: signal detection from disproportionality analyses of data from the United States Food and Drug Administration Adverse Event Reporting System. Journal of Dermatological Treatment. 37(1). 2611703–2611703.
2.
Gupta, Aditya K., Mary A. Bamimore, Greg Williams, & Mesbah Talukder. (2025). Comparative Efficacy of Minoxidil and 5‐Alpha Reductase Inhibitors Monotherapy for Male Pattern Hair Loss: Network Meta‐Analysis Study of Current Empirical Evidence. Journal of Cosmetic Dermatology. 24(7). e70320–e70320.
3.
Williams, Greg. (2025). The Health Benefits of Hair Transplant Surgery. Aesthetic Surgery Journal. 45(Supplement_2). S59–S61.
4.
Williams, Greg, et al.. (2024). Chromatin accessibility profiling reveals that human fibroblasts respond to mechanical stimulation in a cell-specific manner. JBMR Plus. 8(5). ziae025–ziae025. 1 indexed citations
5.
Gupta, Aditya K., Mesbah Talukder, & Greg Williams. (2024). Emerging and traditional 5-α reductase inhibitors and androgen receptor antagonists for male androgenetic alopecia. Expert Opinion on Emerging Drugs. 29(3). 251–261. 8 indexed citations
6.
Gupta, Aditya K., Mary A. Bamimore, Husam Abdel‐Qadir, et al.. (2024). Low‐Dose Oral Minoxidil and Associated Adverse Events: Analyses of the FDA Adverse Event Reporting System ( FAERS ) With a Focus on Pericardial Effusions. Journal of Cosmetic Dermatology. 24(1). e16574–e16574. 4 indexed citations
7.
Jiménez, Francisco, Greg Williams, L C Knight, et al.. (2023). Mechanical stimulation of human hair follicle outer root sheath cultures activates adjacent sensory neurons. Science Advances. 9(43). eadh3273–eadh3273. 11 indexed citations
8.
Boyle, Colin, et al.. (2019). Harnessing the Secretome of Hair Follicle Fibroblasts to Accelerate Ex Vivo Healing of Human Skin Wounds. Journal of Investigative Dermatology. 140(5). 1075–1084.e11. 8 indexed citations
9.
Creamer, D., Sarah Walsh, Peter Dziewulski, et al.. (2016). UK guidelines for the management of Stevens–Johnson syndrome/toxic epidermal necrolysis in adults 2016. Journal of Plastic Reconstructive & Aesthetic Surgery. 69(6). e119–e153. 132 indexed citations
10.
Williams, Greg, et al.. (2014). Value of white cell count in predicting serious bacterial infection in febrile children under 5 years of age. Archives of Disease in Childhood. 99(6). 493–499. 22 indexed citations
12.
Shah, H., et al.. (2009). Factors in the choice of oral transmucosal fentanyl citrate dose for adult burns dressings. Burns. 35(6). 798–801. 3 indexed citations
13.
Fleming, Alan, Keith A. Goatman, Sam Philip, et al.. (2009). The role of haemorrhage and exudate detection in automated grading of diabetic retinopathy. British Journal of Ophthalmology. 94(6). 706–711. 72 indexed citations
14.
Williams, Greg, et al.. (2009). Granulocyte colony-stimulating factor in toxic epidermal necrolysis (TEN) and Chelsea & Westminster TEN protocol. British Journal of Dermatology. 162(4). 860–865. 23 indexed citations
15.
Williams, Greg, et al.. (2008). Permanent scarring in a paediatric scald dressed with a non-adherent siliconised dressing. Burns. 35(1). 137–138. 1 indexed citations
16.
Williams, Greg, et al.. (2006). Scalding as an unusual cause of pyoderma gangrenosum. Burns. 33(1). 105–108. 6 indexed citations
17.
Sawyer, Adam & Greg Williams. (2006). Misdiagnosis of Burns: Herpes Zoster Ophthalmicus. Journal of Burn Care & Research. 27(6). 914–916. 3 indexed citations
18.
Williams, Greg, et al.. (2005). Pitfalls in normalization for intensity-modulated radiation therapy planning. Medical dosimetry. 30(4). 194–200. 7 indexed citations
19.
Wang, Ge, Greg Williams, Haibin Xia, et al.. (2002). Apical barriers to airway epithelial cell gene transfer with amphotropic retroviral vectors. Gene Therapy. 9(14). 922–931. 21 indexed citations
20.
Leavitt, Dennis D., et al.. (2000). Application of enhanced dynamic wedge to stereotactic radiotherapy. Medical dosimetry. 25(2). 61–69. 4 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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