David Akhavan
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in ⓘ
- Oncology 8
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 3
-
- Ion channel regulation and function 2
- Co-authors
- Paul S. Mischel (4 shared papers)Timothy F. Cloughesy (2 shared papers)Larry J. W. Miercke (3 shared papers)Robert M. Stroud (2 shared papers)William Harries (2 shared papers)Shahram Khademi (2 shared papers)Christine E. Brown (2 shared papers)Darya Alizadeh (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cell Metabolism (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Cancer Microenvironment (1 paper)Journal of Visualized Experiments (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David Akhavan
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Genetics 198
- Cancer Research 221
- Molecular Biology 725
- Oncology 263
- Immunology 129
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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 341 | |
| 2 | 2004 | 220 | |
| 3 | 2019 | 164 | |
| 4 | 2010 | 146 | |
| 5 | 2003 | 65 | |
| 6 | 2012 | 45 | |
| 7 | 2011 | 36 | |
| 8 | 2020 | 24 | |
| 9 | 2005 | 22 | |
| 10 | 2020 | 19 | |
| 11 | 2022 | 15 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2018 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 0 | |
| 19 | 2023 | 0 |
About David Akhavan
David Akhavan is a scholar working on Oncology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Immunology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Treatments and Mutations (3 papers), Glioma Diagnosis and Treatment (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Ion channel regulation and function (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (198 citations), Cancer Research (221 citations), Molecular Biology (725 citations), Oncology (263 citations) and Immunology (129 citations). David Akhavan has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Paul S. Mischel, Timothy F. Cloughesy, Larry J. W. Miercke, Robert M. Stroud, William Harries, Shahram Khademi, Christine E. Brown, Darya Alizadeh, Dongrui Wang and Jennifer Kelly Shepphird. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Metabolism, International Journal of Radiation Oncology*Biology*Physics, Cancer Microenvironment and Journal of Visualized Experiments.
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.