Daniel DeWoskin
Impact in
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- Circadian rhythm and melatonin
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- Photoreceptor and optogenetics research
- Neurobiology and Insect Physiology Research
Papers in
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- Genomics and Chromatin Dynamics 2
- Glycosylation and Glycoproteins Research 1
- Gene expression and cancer classification 1
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- Circadian rhythm and melatonin 4
- Co-authors
- Daniel B. Forger (4 shared papers)Jihwan Myung (2 shared papers)Toru Takumi (2 shared papers)Erik De Schutter (1 shared paper)Sungho Hong (1 shared paper)Mino D. C. Belle (1 shared paper)Hugh D. Piggins (1 shared paper)Rita M. Cowell (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Interface Focus (1 paper)Nature Communications (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Topology and its Applications (1 paper)
- Partner nations
- United StatesJapanNorway
In The Last Decade
Daniel DeWoskin
8 papers receiving 366 citations
Peers
Comparison fields: 5 of 63
- Endocrine and Autonomic Systems 236
- Cellular and Molecular Neuroscience 167
- Aging 15
- Cognitive Neuroscience 95
- Biophysics 18
Countries citing papers authored by Daniel DeWoskin
This map shows the geographic impact of Daniel DeWoskin'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 Daniel DeWoskin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel DeWoskin more than expected).
Fields of papers citing papers by Daniel DeWoskin
This network shows the impact of papers produced by Daniel DeWoskin. 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 Daniel DeWoskin. The network helps show where Daniel DeWoskin may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel DeWoskin, 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 | 2015 | 144 | |
| 2 | 2015 | 117 | |
| 3 | 2016 | 40 | |
| 4 | 2009 | 27 | |
| 5 | 2014 | 25 | |
| 6 | 2012 | 12 | |
| 7 | Dynamic models of metastatic tumor growth | 2011 | 2 |
| 8 | 2009 | 1 |
About Daniel DeWoskin
Daniel DeWoskin is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Genetics, Cellular and Molecular Neuroscience and Oncology, having authored 8 papers that have together received 368 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (4 papers), Photoreceptor and optogenetics research (2 papers), Genomics and Chromatin Dynamics (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Gene expression and cancer classification (1 paper), Mathematical Biology Tumor Growth (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (236 citations), Cellular and Molecular Neuroscience (167 citations), Aging (15 citations), Cognitive Neuroscience (95 citations) and Biophysics (18 citations). Daniel DeWoskin has collaborated with scholars based in United States, Japan and Norway. Frequent co-authors include Daniel B. Forger, Jihwan Myung, Toru Takumi, Erik De Schutter, Sungho Hong, Mino D. C. Belle, Hugh D. Piggins, Rita M. Cowell, Javier Arsuaga and Karen L. Gamble. Their work appears in journals such as Proceedings of the National Academy of Sciences, Interface Focus, Nature Communications, International Journal of Radiation Oncology*Biology*Physics and Topology and its Applications.
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.