David Khayat
Impact in
- Oncology top 0.2%
- Colorectal Cancer Treatments and Studies
- Cancer Treatment and Pharmacology
- HER2/EGFR in Cancer Research
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Oncology 46
- Cancer Treatment and Pharmacology 13
- HER2/EGFR in Cancer Research 7
- Colorectal Cancer Treatments and Studies 6
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- Cancer Genomics and Diagnostics 8
- Co-authors
- Eric Van CutsemDavid CunninghamChris VerslypeHarry BleibergM. MueserA. HarstrickArmando SantoroYves Humblet
- Journals
- Journal of Clinical Oncology (10 papers)Critical Reviews in Oncology/Hematology (8 papers)Cancer (7 papers)European Journal of Cancer (7 papers)Cancer Chemotherapy and Pharmacology (4 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
David Khayat
105 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Oncology 5.3k
- Hepatology 798
- Cancer Research 1.4k
- Pulmonary and Respiratory Medicine 2.6k
- Pathology and Forensic Medicine 1.2k
Countries citing papers authored by David Khayat
This map shows the geographic impact of David Khayat'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 David Khayat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Khayat more than expected).
Fields of papers citing papers by David Khayat
This network shows the impact of papers produced by David Khayat. 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 David Khayat. The network helps show where David Khayat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Khayat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 41 | |
| 2 | 2017 | 38 | |
| 3 | 2016 | 39 | |
| 4 | 2016 | 39 | |
| 5 | 2015 | 49 | |
| 6 | 2014 | 97 | |
| 7 | 2014 | 163 | |
| 8 | 2013 | 211 | |
| 9 | 2013 | 21 | |
| 10 | 2012 | 27 | |
| 11 | 2010 | 40 | |
| 12 | 2009 | 40 | |
| 13 | 2009 | 22 | |
| 14 | 2008 | 37 | |
| 15 | 2006 | 172 | |
| 16 | L'éthique de la souffrance | 2002 | 0 |
| 17 | 2000 | 8 | |
| 18 | CT scan and MRI in oncology | 1998 | 1 |
| 19 | 1996 | 15 | |
| 20 | 1996 | 8 |
About David Khayat
David Khayat is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Geriatrics and Gerontology and Hepatology, having authored 108 papers that have together received 8.4k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (18 papers), Cancer Treatment and Pharmacology (13 papers), Renal and related cancers (11 papers), Cancer Genomics and Diagnostics (8 papers), Lung Cancer Treatments and Mutations (8 papers), Bladder and Urothelial Cancer Treatments (8 papers), HER2/EGFR in Cancer Research (7 papers) and Colorectal Cancer Treatments and Studies (6 papers). The work is most often cited by research in Oncology (5.3k citations), Hepatology (798 citations), Cancer Research (1.4k citations), Pulmonary and Respiratory Medicine (2.6k citations) and Pathology and Forensic Medicine (1.2k citations). David Khayat has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Eric Van Cutsem, David Cunningham, Chris Verslype, Harry Bleiberg, M. Mueser, A. Harstrick, Armando Santoro, Yves Humblet, Ian Chau and Salvatore Siena. Their work appears in journals such as Journal of Clinical Oncology, Critical Reviews in Oncology/Hematology, Cancer, European Journal of Cancer and Cancer Chemotherapy and Pharmacology.
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.