Nathan Rubin
Impact in
- Dermatology top 5%
- Cutaneous lymphoproliferative disorders research
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Cutaneous lymphoproliferative disorders research 5
- Co-authors
- Amrita Goyal (7 shared papers)Kavita Goyal (5 shared papers)Daniel E. O’Leary (4 shared papers)Kimberly Bohjanen (4 shared papers)Can Özütemiz (8 shared papers)Dorothy K. Hatsukami (6 shared papers)Jafar Golzarian (5 shared papers)Shamar Young (5 shared papers)
- Journals
- Nicotine & Tobacco Research (4 papers)Diabetes (3 papers)Journal of the American Academy of Dermatology (3 papers)Neuroradiology (2 papers)Archives of Dermatological Research (2 papers)
- Partner nations
- United StatesTürkiyeUnited Kingdom
In The Last Decade
Nathan Rubin
60 papers receiving 601 citations
Peers
Comparison fields: 5 of 82
- Dermatology 99
- Hepatology 51
- Epidemiology 130
- Otorhinolaryngology 16
- Physiology 79
Countries citing papers authored by Nathan Rubin
This map shows the geographic impact of Nathan Rubin'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 Nathan Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Rubin more than expected).
Fields of papers citing papers by Nathan Rubin
This network shows the impact of papers produced by Nathan Rubin. 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 Nathan Rubin. The network helps show where Nathan Rubin may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Rubin, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 37 | |
| 2 | 2019 | 35 | |
| 3 | 1988 | 32 | |
| 4 | 2018 | 31 | |
| 5 | 2020 | 28 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 26 | |
| 8 | 2020 | 24 | |
| 9 | 2019 | 22 | |
| 10 | 2020 | 21 | |
| 11 | 2019 | 19 | |
| 12 | 2019 | 17 | |
| 13 | 1987 | 17 | |
| 14 | 2022 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2024 | 10 |
About Nathan Rubin
Nathan Rubin is a scholar working on Epidemiology, Dermatology, Molecular Biology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 63 papers that have together received 606 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (5 papers), Smoking Behavior and Cessation (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Diabetes Management and Research (3 papers), Advanced MRI Techniques and Applications (3 papers), MRI in cancer diagnosis (2 papers), Pregnancy and preeclampsia studies (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Dermatology (99 citations), Hepatology (51 citations), Epidemiology (130 citations), Otorhinolaryngology (16 citations) and Physiology (79 citations). Nathan Rubin has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Amrita Goyal, Kavita Goyal, Daniel E. O’Leary, Kimberly Bohjanen, Can Özütemiz, Dorothy K. Hatsukami, Jafar Golzarian, Shamar Young, Eric C. Donny and Charles R. McKay. Their work appears in journals such as Nicotine & Tobacco Research, Diabetes, Journal of the American Academy of Dermatology, Neuroradiology and Archives of Dermatological Research.
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.