Sam Khan
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- COVID-19 and healthcare impacts
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 14
- COVID-19 and healthcare impacts 7
- Lung Cancer Research Studies 2
- Cancer Treatment and Pharmacology 2
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- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Ashley R. Dennison (1 shared paper)Giuseppe Garcea (1 shared paper)Laura O’Regan (2 shared papers)Andrew M. Fry (2 shared papers)Richard Bayliss (2 shared papers)Dominic Yu (1 shared paper)Tu Vinh Luong (1 shared paper)Alexa Childs (1 shared paper)
- Journals
- British Journal of Cancer (3 papers)Cancers (3 papers)BMJ Open (1 paper)JCO Clinical Cancer Informatics (1 paper)Clinical Colorectal Cancer (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Sam Khan
23 papers receiving 303 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 97
- Oncology 120
- Hepatology 24
- Health Informatics 3
- Health 14
Countries citing papers authored by Sam Khan
This map shows the geographic impact of Sam Khan'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 Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Khan more than expected).
Fields of papers citing papers by Sam Khan
This network shows the impact of papers produced by Sam Khan. 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 Khan. The network helps show where Sam Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Khan, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 75 | |
| 2 | 2021 | 34 | |
| 3 | 2022 | 34 | |
| 4 | 2022 | 26 | |
| 5 | 2015 | 16 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 12 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 3 |
About Sam Khan
Sam Khan is a scholar working on Oncology, Infectious Diseases, Pulmonary and Respiratory Medicine, General Health Professions and Pathology and Forensic Medicine, having authored 26 papers that have together received 307 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (7 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Healthcare cost, quality, practices (3 papers), Cancer therapeutics and mechanisms (3 papers), Lung Cancer Research Studies (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Infectious Diseases (97 citations), Oncology (120 citations), Hepatology (24 citations), Health Informatics (3 citations) and Health (14 citations). Sam Khan has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Ashley R. Dennison, Giuseppe Garcea, Laura O’Regan, Andrew M. Fry, Richard Bayliss, Dominic Yu, Tu Vinh Luong, Alexa Childs, Yuk Ting Ma and Joanne Marie O’Rourke. Their work appears in journals such as British Journal of Cancer, Cancers, BMJ Open, JCO Clinical Cancer Informatics and Clinical Colorectal Cancer.
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.