Keng‐Ee Thai

570 citations
11 papers · 301 · h-index 7

Impact in

    • Cutaneous lymphoproliferative disorders research
    • Cancer and Skin Lesions
    • Dermatologic Treatments and Research
    • Skin Protection and Aging
  • Urology top 10%
    • Hair Growth and Disorders

Papers in

    • Cutaneous lymphoproliferative disorders research 4
    • Cancer and Skin Lesions 4
    • Dermatological and COVID-19 studies 1
    • Nail Diseases and Treatments 3
    • Nonmelanoma Skin Cancer Studies 2

Keng‐Ee Thai

11 papers receiving 286 citations

Peers

Keng‐Ee Thai
Comparison fields: 5 of 59
  • Dermatology 216
  • Urology 56
  • Epidemiology 178
  • Oncology 101
  • Small Animals 22
Replace Diane Mullins with:
Diane Mullins United States
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B. Pérez‐García Spain
Ben Tallon New Zealand
Suthinee Rutnin Thailand
Howard Bargman Canada
Christopher B. Harmon United States
Dany J. Touma United States
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Keng‐Ee Thai relative to Diane Mullins United States Diane Mullins's profile →
Citations per field
00.5×1.5×2.5×
Diane Mullins · 1×
Citations per year

Countries citing papers authored by Keng‐Ee Thai

Since Specialization
Citations

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

Fields of papers citing papers by Keng‐Ee Thai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keng‐Ee Thai. 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 Keng‐Ee Thai. The network helps show where Keng‐Ee Thai may publish in the future.

Co-authors

The 14 scholars most cited alongside Keng‐Ee Thai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keng‐Ee Thai Line = papers co-authored together Keng‐Ee Thai links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2004108
2 200150
3 199943
4 201536
5 200819
6 200317
7 200310
8 20016
9 20015
10 20025
11 20202

About Keng‐Ee Thai

Keng‐Ee Thai is a scholar working on Dermatology, Epidemiology, Urology, Oncology and Cell Biology, having authored 11 papers that have together received 301 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (4 papers), Cancer and Skin Lesions (4 papers), Hair Growth and Disorders (3 papers), Nail Diseases and Treatments (3 papers), Nonmelanoma Skin Cancer Studies (2 papers), Skin and Cellular Biology Research (2 papers), Dermatological and Skeletal Disorders (1 paper) and Dermatological and COVID-19 studies (1 paper). The work is most often cited by research in Dermatology (216 citations), Urology (56 citations), Epidemiology (178 citations), Oncology (101 citations) and Small Animals (22 citations). Keng‐Ee Thai has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include Rodney Sinclair, Xinyi Yang, Michael L. Freeman, David M. Francis, Dédée F. Murrell, Peter Foley, Peter Fergin, Carl Vinciullo, Lynda Spelman and Chris Anderson. Their work appears in journals such as Australasian Journal of Dermatology, Journal of the American Academy of Dermatology and International Journal of Dermatology.

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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