Sam Wells
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Chemokine receptors and signaling
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- Axon Guidance and Neuronal Signaling
Papers in
- Oncology 7
- Chemokine receptors and signaling 3
-
- Angiogenesis and VEGF in Cancer 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Ion channel regulation and function 1
- Co-authors
- Linda Sealy (1 shared paper)Linda M. Bundy (1 shared paper)Jin Chen (1 shared paper)Lu Xie (1 shared paper)Carlos L. Arteaga (1 shared paper)Dana M. Brantley‐Sieders (1 shared paper)Dowdy Jackson (1 shared paper)Rebecca S. Muraoka-Cook (1 shared paper)
- Journals
- Cancer Research (2 papers)Cancer Gene Therapy (1 paper)Molecular Biology of the Cell (1 paper)The Journal of Laryngology & Otology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Sam Wells
11 papers receiving 474 citations
Peers
Comparison fields: 5 of 67
- Oncology 198
- Cellular and Molecular Neuroscience 102
- Immunology 75
- Molecular Biology 241
- Cell Biology 53
Countries citing papers authored by Sam Wells
This map shows the geographic impact of Sam Wells'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 Sam Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Wells more than expected).
Fields of papers citing papers by Sam Wells
This network shows the impact of papers produced by Sam Wells. 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 Sam Wells. The network helps show where Sam Wells may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Wells, 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 | 2009 | 171 | |
| 2 | 2014 | 75 | |
| 3 | 2005 | 69 | |
| 4 | 2004 | 64 | |
| 5 | 2013 | 39 | |
| 6 | 2007 | 18 | |
| 7 | 2008 | 14 | |
| 8 | 2003 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 1984 | 8 | |
| 11 | 2013 | 1 |
About Sam Wells
Sam Wells is a scholar working on Oncology, Molecular Biology, Immunology, Cellular and Molecular Neuroscience and Dermatology, having authored 11 papers that have together received 478 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), Chemokine receptors and signaling (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Ion channel regulation and function (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Oncology (198 citations), Cellular and Molecular Neuroscience (102 citations), Immunology (75 citations), Molecular Biology (241 citations) and Cell Biology (53 citations). Sam Wells has collaborated with scholars based in United States. Frequent co-authors include Linda Sealy, Linda M. Bundy, Jin Chen, Lu Xie, Carlos L. Arteaga, Dana M. Brantley‐Sieders, Dowdy Jackson, Rebecca S. Muraoka-Cook, Guanglei Zhuang and David Vaught. Their work appears in journals such as Cancer Research, Cancer Gene Therapy, Molecular Biology of the Cell, The Journal of Laryngology & Otology and Journal of Biological Chemistry.
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.