Ryan Tasseff
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- Retinoids in leukemia and cellular processes 2
- RNA Interference and Gene Delivery 2
- Ubiquitin and proteasome pathways 1
- 14-3-3 protein interactions 1
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- Skin Protection and Aging 3
- Dermatology and Skin Diseases 1
- Co-authors
- Jeffrey D. Varner (4 shared papers)Andrew Yen (3 shared papers)Robert J. Isfort (5 shared papers)Rodica P. Bunaciu (2 shared papers)Robert E. Schmidt (1 shared paper)Lauren J. Francey (1 shared paper)John E. Oblong (1 shared paper)Ron C. Anafi (1 shared paper)
- Journals
- PLoS ONE (2 papers)Bioinformatics (1 paper)Molecular Simulation (1 paper)Experimental Dermatology (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Ryan Tasseff
13 papers receiving 271 citations
Peers
Comparison fields: 5 of 83
- Endocrine and Autonomic Systems 67
- Aging 8
- Dermatology 30
- Hematology 29
- Physiology 45
Countries citing papers authored by Ryan Tasseff
This map shows the geographic impact of Ryan Tasseff'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 Ryan Tasseff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Tasseff more than expected).
Fields of papers citing papers by Ryan Tasseff
This network shows the impact of papers produced by Ryan Tasseff. 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 Ryan Tasseff. The network helps show where Ryan Tasseff may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Tasseff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 84 | |
| 2 | 2017 | 41 | |
| 3 | 2022 | 25 | |
| 4 | 2010 | 22 | |
| 5 | 2010 | 18 | |
| 6 | 2013 | 16 | |
| 7 | 2011 | 14 | |
| 8 | 2018 | 13 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2014 | 10 | |
| 12 | 2010 | 6 | |
| 13 | 2011 | 5 |
About Ryan Tasseff
Ryan Tasseff is a scholar working on Molecular Biology, Dermatology, Biomedical Engineering, Urology and Endocrine and Autonomic Systems, having authored 13 papers that have together received 274 indexed citations. Recurring topics across this work include Skin Protection and Aging (3 papers), Retinoids in leukemia and cellular processes (2 papers), RNA Interference and Gene Delivery (2 papers), Ubiquitin and proteasome pathways (1 paper), Cutaneous Melanoma Detection and Management (1 paper), 14-3-3 protein interactions (1 paper), Dermatology and Skin Diseases (1 paper) and melanin and skin pigmentation (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (67 citations), Aging (8 citations), Dermatology (30 citations), Hematology (29 citations) and Physiology (45 citations). Ryan Tasseff has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Jeffrey D. Varner, Andrew Yen, Robert J. Isfort, Rodica P. Bunaciu, Robert E. Schmidt, Lauren J. Francey, John E. Oblong, Ron C. Anafi, Joseph D. Sherrill and David F. Smith. Their work appears in journals such as PLoS ONE, Bioinformatics, Molecular Simulation, Experimental Dermatology and PLoS Computational Biology.
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.