Justin D. Arnold
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Dermatology top 5%
- Hidradenitis Suppurativa and Treatments
Papers in
-
- Medicine and Dermatology Studies History 3
- Urology 3
- Hair Growth and Disorders 2
- Co-authors
- Gene Wei-Ming Yeo (4 shared papers)Shawn S. Hoon (3 shared papers)Tiffany Y Liang (3 shared papers)Thomas W. Stark (2 shared papers)Stephanie C. Huelga (2 shared papers)Sydney Brenner (2 shared papers)Anthony Q. Vu (2 shared papers)Manuel Ares (2 shared papers)
- Journals
- JAMA Dermatology (6 papers)Journal of the American Academy of Dermatology (4 papers)JAMA Surgery (3 papers)Cell Reports (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Justin D. Arnold
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 73
- Cancer Research 166
- Dermatology 90
- Molecular Biology 691
- Genetics 47
- Epidemiology 125
Countries citing papers authored by Justin D. Arnold
This map shows the geographic impact of Justin D. Arnold'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 Justin D. Arnold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin D. Arnold more than expected).
Fields of papers citing papers by Justin D. Arnold
This network shows the impact of papers produced by Justin D. Arnold. 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 Justin D. Arnold. The network helps show where Justin D. Arnold may publish in the future.
Co-authors
The 25 scholars most cited alongside Justin D. Arnold, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 369 | |
| 2 | 2013 | 279 | |
| 3 | 2011 | 124 | |
| 4 | 2016 | 59 | |
| 5 | 2021 | 52 | |
| 6 | 2018 | 30 | |
| 7 | 2021 | 27 | |
| 8 | 2021 | 14 | |
| 9 | 2018 | 12 | |
| 10 | 2018 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2018 | 9 | |
| 13 | 2018 | 8 | |
| 14 | 2022 | 5 | |
| 15 | 2012 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2017 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2017 | 1 |
About Justin D. Arnold
Justin D. Arnold is a scholar working on Dermatology, Urology, Infectious Diseases, Social Psychology and Rheumatology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), LGBTQ Health, Identity, and Policy (4 papers), Eosinophilic Disorders and Syndromes (3 papers), Medicine and Dermatology Studies History (3 papers), RNA Research and Splicing (3 papers), Genital Health and Disease (2 papers), Dermatological diseases and infestations (2 papers) and Hair Growth and Disorders (2 papers). The work is most often cited by research in Cancer Research (166 citations), Dermatology (90 citations), Molecular Biology (691 citations), Genetics (47 citations) and Epidemiology (125 citations). Justin D. Arnold has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Gene Wei-Ming Yeo, Shawn S. Hoon, Tiffany Y Liang, Thomas W. Stark, Stephanie C. Huelga, Sydney Brenner, Anthony Q. Vu, Manuel Ares, Deborah H. Spector and John Paul Donohue. Their work appears in journals such as JAMA Dermatology, Journal of the American Academy of Dermatology, JAMA Surgery, Cell Reports and The FASEB Journal.
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.