Christopher Dakhil
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
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- Cancer Genomics and Diagnostics
Papers in
- Oncology 11
- Cancer Immunotherapy and Biomarkers 5
- Lung Cancer Research Studies 4
- Cancer Treatment and Pharmacology 2
-
- Lung Cancer Treatments and Mutations 8
- Co-authors
- Mark A. Socinski (4 shared papers)Tarek Mekhail (4 shared papers)Sylvia Hu (4 shared papers)David S. Shames (4 shared papers)Vamsidhar Velcheti (4 shared papers)Philip J. Stella (4 shared papers)Erica Schleifman (3 shared papers)Ticiana Leal (3 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Annals of Oncology (2 papers)JNCI Cancer Spectrum (1 paper)Future Oncology (1 paper)Medical Oncology (1 paper)
- Partner nations
- United StatesCanadaCyprus
In The Last Decade
Christopher Dakhil
19 papers receiving 406 citations
Peers
Comparison fields: 5 of 42
- Oncology 228
- Cancer Research 107
- Pulmonary and Respiratory Medicine 145
- Endocrinology, Diabetes and Metabolism 38
- Immunology 46
Countries citing papers authored by Christopher Dakhil
This map shows the geographic impact of Christopher Dakhil'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 Dakhil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Dakhil more than expected).
Fields of papers citing papers by Christopher Dakhil
This network shows the impact of papers produced by Christopher Dakhil. 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 Dakhil. The network helps show where Christopher Dakhil may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Dakhil, 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 | 2022 | 116 | |
| 2 | 2019 | 58 | |
| 3 | 2018 | 47 | |
| 4 | 2019 | 41 | |
| 5 | 2018 | 34 | |
| 6 | 2020 | 19 | |
| 7 | 2014 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2022 | 9 | |
| 10 | 2015 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2019 | 7 | |
| 13 | 2013 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2019 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2014 | 3 | |
| 18 | 2017 | 2 | |
| 19 | 2018 | 1 | |
| 20 | 2024 | 0 |
About Christopher Dakhil
Christopher Dakhil is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Hematology, having authored 20 papers that have together received 408 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Research Studies (4 papers), Cancer Genomics and Diagnostics (4 papers), Nausea and vomiting management (2 papers), Multiple Myeloma Research and Treatments (2 papers), Cancer Treatment and Pharmacology (2 papers) and Menopause: Health Impacts and Treatments (2 papers). The work is most often cited by research in Oncology (228 citations), Cancer Research (107 citations), Pulmonary and Respiratory Medicine (145 citations), Endocrinology, Diabetes and Metabolism (38 citations) and Immunology (46 citations). Christopher Dakhil has collaborated with scholars based in United States, Canada and Cyprus. Frequent co-authors include Mark A. Socinski, Tarek Mekhail, Sylvia Hu, David S. Shames, Vamsidhar Velcheti, Philip J. Stella, Erica Schleifman, Ticiana Leal, Edward S. Kim and David Fabrizio. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, JNCI Cancer Spectrum, Future Oncology and Medical Oncology.
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.