Daniel Winokur
Impact in
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- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
- Colorectal Cancer Treatments and Studies
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- Cancer-related molecular mechanisms research
Papers in
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- Melanoma and MAPK Pathways 2
- Epigenetics and DNA Methylation 1
- PI3K/AKT/mTOR signaling in cancer 1
- DNA Repair Mechanisms 1
- Oncology 2
- Cytokine Signaling Pathways and Interactions 1
- Cancer-related Molecular Pathways 1
- Co-authors
- Shyamala Maheswaran (2 shared papers)Daniel A. Haber (3 shared papers)Jason T. Godfrey (2 shared papers)S. Michael Rothenberg (2 shared papers)Anthony C. Faber (2 shared papers)Mari Mino–Kenudson (2 shared papers)Jennifer A. Wargo (2 shared papers)Ryan B. Corcoran (2 shared papers)
- Journals
- Science Translational Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cancer Research (1 paper)Blood (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Daniel Winokur
3 papers receiving 191 citations
Peers
Comparison fields: 5 of 44
- Oncology 90
- Cancer Research 41
- Molecular Biology 167
- Pathology and Forensic Medicine 20
- Computational Theory and Mathematics 12
Countries citing papers authored by Daniel Winokur
This map shows the geographic impact of Daniel Winokur'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 Winokur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Winokur more than expected).
Fields of papers citing papers by Daniel Winokur
This network shows the impact of papers produced by Daniel Winokur. 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 Winokur. The network helps show where Daniel Winokur may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Winokur, 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 | 2013 | 110 | |
| 2 | 2011 | 81 | |
| 3 | 2013 | 2 | |
| 4 | 2018 | 0 |
About Daniel Winokur
Daniel Winokur is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Biotechnology and Infectious Diseases, having authored 4 papers that have together received 193 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (2 papers), Epigenetics and DNA Methylation (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Cancer-related Molecular Pathways (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Cancer Research and Treatments (1 paper), DNA Repair Mechanisms (1 paper) and Photodynamic Therapy Research Studies (1 paper). The work is most often cited by research in Oncology (90 citations), Cancer Research (41 citations), Molecular Biology (167 citations), Pathology and Forensic Medicine (20 citations) and Computational Theory and Mathematics (12 citations). Daniel Winokur has collaborated with scholars based in United States and Spain. Frequent co-authors include Shyamala Maheswaran, Daniel A. Haber, Jason T. Godfrey, S. Michael Rothenberg, Anthony C. Faber, Mari Mino–Kenudson, Jennifer A. Wargo, Ryan B. Corcoran, Jeffrey A. Engelman and Keith T. Flaherty. Their work appears in journals such as Science Translational Medicine, Proceedings of the National Academy of Sciences, Cancer Research and Blood.
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.