Kevin Norwood
- Oncology top 2%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 5%
- Pathology and Forensic Medicine top 5%
- Cancer Research top 10%
- Co-authors
- Fan JinAntoîne ItalianoToshihiko DoiAaron R. HansenHyun Cheol ChungAurélien MarabelleSarina A. Piha‐PaulWilson H. Miller
- Topics
- Cancer Immunotherapy and Biomarkers (22 papers)Genetic factors in colorectal cancer (10 papers)Colorectal Cancer Treatments and Studies (8 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Kevin Norwood
38 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Oncology 1.3k
- Surgery 779
- Pulmonary and Respiratory Medicine 504
- Pathology and Forensic Medicine 363
- Cancer Research 234
Countries citing papers authored by Kevin Norwood
This map shows the geographic impact of Kevin Norwood'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 Kevin Norwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Norwood more than expected).
Fields of papers citing papers by Kevin Norwood
This network shows the impact of papers produced by Kevin Norwood. 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 Kevin Norwood. The network helps show where Kevin Norwood may publish in the future.
Co-authorship network of co-authors of Kevin Norwood
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Norwood. A scholar is included among the top collaborators of Kevin Norwood based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Norwood. Kevin Norwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 7 | |
| 3 | 25 | |
| 4 | 9 | |
| 5 | Pembrolizumab in microsatellite instability high or mismatch repair deficient cancers: updated analysis from the phase II KEYNOTE-158 studybreakdown → | 240 |
| 6 | 36 | |
| 7 | 55 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 22 | |
| 11 | 4 | |
| 12 | 146 | |
| 13 | 59 | |
| 14 | Efficacy and safety of pembrolizumab for the treatment of advanced biliary cancer: Results from the | 335 |
| 15 | 21 | |
| 16 | 77 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 33 | |
| 20 | 43 |
About Kevin Norwood
Kevin Norwood is a scholar working on Oncology, Obstetrics and Gynecology and Pathology and Forensic Medicine, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (22 papers), Genetic factors in colorectal cancer (10 papers) and Colorectal Cancer Treatments and Studies (8 papers). The work is most often cited by research in Oncology (1.3k citations), Obstetrics and Gynecology (222 citations) and Pathology and Forensic Medicine (363 citations). Kevin Norwood has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Fan Jin, Antoîne Italiano, Toshihiko Doi, Aaron R. Hansen, Hyun Cheol Chung, Aurélien Marabelle, Sarina A. Piha‐Paul, Wilson H. Miller, Philippe A. Cassier and Lei Xu. Their work appears in journals such as Journal of Clinical Oncology, Cancer and 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.