David Sedwick
Impact in
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- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
- Protein Tyrosine Phosphatases
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Chemical Synthesis and Analysis
Papers in
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- Epigenetics and DNA Methylation 1
- Ubiquitin and proteasome pathways 1
- Cancer therapeutics and mechanisms 1
- PI3K/AKT/mTOR signaling in cancer 1
- Protein Tyrosine Phosphatases 1
- Genetics 1
- Glioma Diagnosis and Treatment 1
- Co-authors
- Zhenghe Wang (3 shared papers)Sanford D. Markowitz (2 shared papers)Rob M. Ewing (2 shared papers)Jing Katherine Song (2 shared papers)Yiqing Zhao (2 shared papers)Zhanwen Du (1 shared paper)Yang Shuming (1 shared paper)Kishore Guda (1 shared paper)
- Journals
- Science Signaling (1 paper)Cancer Cell (1 paper)Journal of Neuropathology & Experimental Neurology (1 paper)Molecular Cancer Research (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
David Sedwick
7 papers receiving 555 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 384
- Cancer Research 40
- Oncology 58
- Cell Biology 22
- Pathology and Forensic Medicine 27
Countries citing papers authored by David Sedwick
This map shows the geographic impact of David Sedwick'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 David Sedwick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sedwick more than expected).
Fields of papers citing papers by David Sedwick
This network shows the impact of papers produced by David Sedwick. 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 David Sedwick. The network helps show where David Sedwick may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sedwick, 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 | 2010 | 291 | |
| 2 | 2013 | 88 | |
| 3 | 2014 | 66 | |
| 4 | 2009 | 65 | |
| 5 | 2011 | 32 | |
| 6 | 2020 | 19 | |
| 7 | 1981 | 3 |
About David Sedwick
David Sedwick is a scholar working on Molecular Biology, Genetics, Cell Biology, Pathology and Forensic Medicine and Oncology, having authored 7 papers that have together received 564 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (1 paper), Ubiquitin and proteasome pathways (1 paper), Cancer therapeutics and mechanisms (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Protein Tyrosine Phosphatases (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Glioma Diagnosis and Treatment (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Molecular Biology (384 citations), Cancer Research (40 citations), Oncology (58 citations), Cell Biology (22 citations) and Pathology and Forensic Medicine (27 citations). David Sedwick has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Zhenghe Wang, Sanford D. Markowitz, Rob M. Ewing, Jing Katherine Song, Yiqing Zhao, Zhanwen Du, Yang Shuming, Kishore Guda, Hung‐Ying Kao and Joseph E. Willis. Their work appears in journals such as Science Signaling, Cancer Cell, Journal of Neuropathology & Experimental Neurology, Molecular Cancer Research and Oncogene.
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.