David Akhavan
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Co-authors
- Paul S. Mischel (5 shared papers)Timothy F. Cloughesy (2 shared papers)Larry J. W. Miercke (3 shared papers)Robert Michael Stroud (2 shared papers)William E. C. Harries (2 shared papers)Shahram Khademi (2 shared papers)Darya Alizadeh (2 shared papers)Christine E. Brown (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Physics in Medicine and Biology (2 papers)Cancer Biotherapy and Radiopharmaceuticals (1 paper)EP Europace (1 paper)Current Opinion in Structural Biology (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
David Akhavan
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Genetics 199
- Cancer Research 213
- Molecular Biology 733
- Oncology 247
- Immunology 120
Countries citing papers authored by David Akhavan
This map shows the geographic impact of David Akhavan'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 Akhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Akhavan more than expected).
Fields of papers citing papers by David Akhavan
This network shows the impact of papers produced by David Akhavan. 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 Akhavan. The network helps show where David Akhavan may publish in the future.
Co-authors
The 25 scholars most cited alongside David Akhavan, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 359 | |
| 2 | 2004 | 233 | |
| 3 | 2019 | 175 | |
| 4 | 2010 | 147 | |
| 5 | 2003 | 70 | |
| 6 | 2012 | 49 | |
| 7 | 2011 | 37 | |
| 8 | 2020 | 35 | |
| 9 | 2020 | 22 | |
| 10 | 2005 | 22 | |
| 11 | 2022 | 20 | |
| 12 | 2009 | 11 | |
| 13 | 2024 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2025 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 1 |
About David Akhavan
David Akhavan is a scholar working on Oncology, Genetics, Immunology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Glioma Diagnosis and Treatment (3 papers), Radiation Therapy and Dosimetry (3 papers), Ion channel regulation and function (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Mechanisms and Therapy (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Genetics (199 citations), Cancer Research (213 citations), Molecular Biology (733 citations), Oncology (247 citations) and Immunology (120 citations). David Akhavan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Paul S. Mischel, Timothy F. Cloughesy, Larry J. W. Miercke, Robert Michael Stroud, William E. C. Harries, Shahram Khademi, Darya Alizadeh, Christine E. Brown, Jennifer Kelly Shepphird and Michael R. Weist. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physics in Medicine and Biology, Cancer Biotherapy and Radiopharmaceuticals, EP Europace and Current Opinion in Structural Biology.
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.