Marwan Fakih
- Oncology top 0.2%
- Colorectal Cancer Treatments and Studies 258
- Cancer Immunotherapy and Biomarkers 74
- Cancer Treatment and Pharmacology 63
- Pathology and Forensic Medicine top 0.2%
- Genetic factors in colorectal cancer 79
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 55
- Geriatrics and Gerontology top 1%
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis 45
-
- Gastric Cancer Management and Outcomes 67
- Lung Cancer Treatments and Mutations 49
- Co-authors
- Chongkai WangJaideep SandhuDonald L. TrumpJun GongCandace S. JohnsonJosephia R. MuindiJosep TaberneroAxel Grothey
- Journals
- Journal of Clinical Oncology (122 papers)Annals of Oncology (47 papers)Clinical Colorectal Cancer (21 papers)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Marwan Fakih
406 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Oncology 6.3k
- Pathology and Forensic Medicine 2.5k
- Cancer Research 1.7k
- Geriatrics and Gerontology 341
- Hepatology 614
Countries citing papers authored by Marwan Fakih
This map shows the geographic impact of Marwan Fakih'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 Marwan Fakih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marwan Fakih more than expected).
Fields of papers citing papers by Marwan Fakih
This network shows the impact of papers produced by Marwan Fakih. 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 Marwan Fakih. The network helps show where Marwan Fakih may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marwan Fakih, 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 | 2025 | 7 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 28 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 4 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 7 | |
| 18 | 2016 | 65 | |
| 19 | 2014 | 35 | |
| 20 | A phase I and pharmacokinetic (PK) study of intravenous (IV) calcitriol and gefitinib assessing EGFR pharmacodynamic (PD) interactions through serial skin biopsies | 2005 | 1 |
About Marwan Fakih
Marwan Fakih is a scholar working on Oncology, Hepatology and Pathology and Forensic Medicine, having authored 426 papers that have together received 9.8k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (258 papers), Genetic factors in colorectal cancer (79 papers), Cancer Immunotherapy and Biomarkers (74 papers), Gastric Cancer Management and Outcomes (67 papers), Cancer Treatment and Pharmacology (63 papers), Cancer Genomics and Diagnostics (55 papers), Lung Cancer Treatments and Mutations (49 papers) and Hepatocellular Carcinoma Treatment and Prognosis (45 papers). The work is most often cited by research in Oncology (6.3k citations), Pathology and Forensic Medicine (2.5k citations) and Cancer Research (1.7k citations). Marwan Fakih has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Chongkai Wang, Jaideep Sandhu, Donald L. Trump, Jun Gong, Candace S. Johnson, Josephia R. Muindi, Josep Tabernero, Axel Grothey, Peter P. Lee and Joseph Chao. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Colorectal Cancer, The Oncologist 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.