Christopher D. Thanos
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Oncology top 10%
- Cancer-related Molecular Pathways
- HER2/EGFR in Cancer Research
Papers in
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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)Gail D. Lewis Phillips (1 shared paper)Marc Feldmann (1 shared paper)H. Michael Shepard (1 shared paper)Warren L. DeLano (1 shared paper)Mike Randal (1 shared paper)
- Journals
- Cancer Research (8 papers)Protein Science (2 papers)Journal of Biological Chemistry (2 papers)Oncotarget (2 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Christopher D. Thanos
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 382
- Oncology 446
- Biotechnology 113
- Molecular Biology 835
- Cell Biology 138
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 277 | |
| 2 | 1999 | 202 | |
| 3 | 2017 | 164 | |
| 4 | 2016 | 128 | |
| 5 | 1999 | 127 | |
| 6 | 2006 | 106 | |
| 7 | 2003 | 87 | |
| 8 | 2014 | 51 | |
| 9 | 2002 | 35 | |
| 10 | 1999 | 34 | |
| 11 | 2021 | 29 | |
| 12 | 2006 | 26 | |
| 13 | 1996 | 12 | |
| 14 | 2008 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2005 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2017 | 5 | |
| 20 | 2017 | 3 |
About Christopher D. Thanos
Christopher D. Thanos is a scholar working on Molecular Biology, Biotechnology, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 25 papers that have together received 1.3k 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 (5 papers), Adenosine and Purinergic Signaling (3 papers), Bacteriophages and microbial interactions (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), CAR-T cell therapy research (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (382 citations), Oncology (446 citations), Biotechnology (113 citations), Molecular Biology (835 citations) and Cell Biology (138 citations). Christopher D. Thanos has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include James U. Bowie, Kenneth E. Goodwill, James A. Wells, Gail D. Lewis Phillips, Marc Feldmann, H. Michael Shepard, Warren L. DeLano, Mike Randal, Dwaine F. Emerich and Aaron K. Sato. Their work appears in journals such as Cancer Research, Protein Science, Journal of Biological Chemistry, Oncotarget 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.