Christopher Stokoe
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in
- Oncology 11
- Cancer Treatment and Pharmacology 6
- HER2/EGFR in Cancer Research 6
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- Breast Cancer Treatment Studies 8
- Cancer Genomics and Diagnostics 2
- Co-authors
- John Tait (3 shared papers)Michael Oakes (2 shared papers)Jonathan Polikoff (2 shared papers)Norman Wolmark (2 shared papers)Virginia F. Borges (2 shared papers)Soonmyung Paik (2 shared papers)Louise Provencher (2 shared papers)Priya Rastogi (2 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Cancer Research (4 papers)Clinical Breast Cancer (2 papers)The Breast (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Christopher Stokoe
20 papers receiving 727 citations
Peers
Comparison fields: 5 of 66
- Oncology 356
- Cancer Research 171
- Radiology, Nuclear Medicine and Imaging 132
- Artificial Intelligence 193
- Pulmonary and Respiratory Medicine 87
Countries citing papers authored by Christopher Stokoe
This map shows the geographic impact of Christopher Stokoe'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 Stokoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Stokoe more than expected).
Fields of papers citing papers by Christopher Stokoe
This network shows the impact of papers produced by Christopher Stokoe. 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 Stokoe. The network helps show where Christopher Stokoe may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Stokoe, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 289 | |
| 2 | 2003 | 152 | |
| 3 | 2013 | 96 | |
| 4 | 2018 | 42 | |
| 5 | 2015 | 38 | |
| 6 | 2005 | 31 | |
| 7 | 2010 | 29 | |
| 8 | 2008 | 21 | |
| 9 | 2003 | 15 | |
| 10 | 2010 | 10 | |
| 11 | 2011 | 9 | |
| 12 | Towards a Sense Based Document Representation for Internet Information Retrieval. | 2003 | 4 |
| 13 | 2001 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2012 | 3 | |
| 16 | 2011 | 2 | |
| 17 | 2011 | 2 | |
| 18 | 2009 | 1 | |
| 19 | 2005 | 1 | |
| 20 | 2013 | 1 |
About Christopher Stokoe
Christopher Stokoe is a scholar working on Oncology, Cancer Research, Artificial Intelligence, Information Systems and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 755 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), Cancer Treatment and Pharmacology (6 papers), HER2/EGFR in Cancer Research (6 papers), Topic Modeling (5 papers), Information Retrieval and Search Behavior (4 papers), Natural Language Processing Techniques (4 papers), Advanced Breast Cancer Therapies (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (356 citations), Cancer Research (171 citations), Radiology, Nuclear Medicine and Imaging (132 citations), Artificial Intelligence (193 citations) and Pulmonary and Respiratory Medicine (87 citations). Christopher Stokoe has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John Tait, Michael Oakes, Jonathan Polikoff, Norman Wolmark, Virginia F. Borges, Soonmyung Paik, Louise Provencher, Priya Rastogi, Charles E. Geyer and Timothy D. Moore. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Clinical Breast Cancer, The Breast and Clinical Cancer Research.
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.