Christopher D. Thanos
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- HER2/EGFR in Cancer Research
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Ubiquitin and proteasome pathways 2
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- Cancer Research and Treatments 7
- Co-authors
- James U. Bowie (5 shared papers)Kenneth E. Goodwill (2 shared papers)James A. Wells (2 shared papers)Warren L. DeLano (1 shared paper)Mike Randal (1 shared paper)Dwaine F. Emerich (3 shared papers)Erik S. Zimmerman (1 shared paper)Trevor J. Hallam (1 shared paper)
- Journals
- Cancer Research (8 papers)Journal of Biological Chemistry (2 papers)Oncotarget (2 papers)Protein Science (2 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Christopher D. Thanos
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Oncology 398
- Radiology, Nuclear Medicine and Imaging 268
- Biotechnology 93
- Molecular Biology 683
- Cell Biology 135
Countries citing papers authored by Christopher D. Thanos
This map shows the geographic impact of Christopher D. Thanos'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 Christopher D. Thanos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher D. Thanos more than expected).
Fields of papers citing papers by Christopher D. Thanos
This network shows the impact of papers produced by Christopher D. Thanos. 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 Christopher D. Thanos. The network helps show where Christopher D. Thanos may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher D. Thanos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 282 | |
| 2 | 1999 | 202 | |
| 3 | 2016 | 130 | |
| 4 | 1999 | 127 | |
| 5 | 2006 | 107 | |
| 6 | 2003 | 87 | |
| 7 | 2002 | 35 | |
| 8 | 1999 | 34 | |
| 9 | 2021 | 32 | |
| 10 | 2006 | 27 | |
| 11 | 1996 | 12 | |
| 12 | 2008 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2005 | 7 | |
| 17 | 2017 | 5 | |
| 18 | 2017 | 3 | |
| 19 | 2016 | 1 | |
| 20 | 2023 | 1 |
About Christopher D. Thanos
Christopher D. Thanos is a scholar working on Molecular Biology, Biotechnology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Research and Treatments (7 papers), Virus-based gene therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Adenosine and Purinergic Signaling (3 papers), Ubiquitin and proteasome pathways (2 papers), interferon and immune responses (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Oncology (398 citations), Radiology, Nuclear Medicine and Imaging (268 citations), Biotechnology (93 citations), Molecular Biology (683 citations) and Cell Biology (135 citations). Christopher D. Thanos has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include James U. Bowie, Kenneth E. Goodwill, James A. Wells, Warren L. DeLano, Mike Randal, Dwaine F. Emerich, Erik S. Zimmerman, Trevor J. Hallam, Christopher J L Murray and Cuong Tran. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Oncotarget, Protein Science and Journal of the American Chemical Society.
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.