Michael Hedvat
Impact in
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions
- CAR-T cell therapy research
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- Neuroscience and Neuropharmacology Research
Papers in ⓘ
- Oncology 12
- CAR-T cell therapy research 6
- Cytokine Signaling Pathways and Interactions 4
- Cancer Immunotherapy and Biomarkers 3
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- Angiogenesis and VEGF in Cancer 2
- Co-authors
- John C. Reed (4 shared papers)Paul B. Fisher (4 shared papers)Fan Yang (3 shared papers)Swadesh K. Das (3 shared papers)Devanand Sarkar (3 shared papers)Rupesh Dash (3 shared papers)Maurizio Pellecchia (3 shared papers)John L. Stebbins (2 shared papers)
- Journals
- Cancer Research (5 papers)Molecular Cancer Therapeutics (3 papers)Journal of Cellular Physiology (2 papers)Genes & Development (1 paper)Molecular Cancer Research (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Michael Hedvat
16 papers receiving 941 citations
Peers
Comparison fields: 5 of 88
- Oncology 315
- Cellular and Molecular Neuroscience 193
- Developmental Neuroscience 41
- Biological Psychiatry 20
- Neurology 62
Countries citing papers authored by Michael Hedvat
This map shows the geographic impact of Michael Hedvat'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 Michael Hedvat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hedvat more than expected).
Fields of papers citing papers by Michael Hedvat
This network shows the impact of papers produced by Michael Hedvat. 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 Michael Hedvat. The network helps show where Michael Hedvat may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Hedvat, 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 | 2010 | 318 | |
| 2 | 2011 | 101 | |
| 3 | 2010 | 97 | |
| 4 | 2010 | 94 | |
| 5 | 2011 | 93 | |
| 6 | 2008 | 78 | |
| 7 | 2012 | 76 | |
| 8 | 2011 | 42 | |
| 9 | 2004 | 28 | |
| 10 | 2024 | 11 | |
| 11 | 2018 | 7 | |
| 12 | The Src family kinase inhibitor, dasatinib, inhibits angiogenesis in vitro and in vivo | 2008 | 3 |
| 13 | 2020 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 1 |
About Michael Hedvat
Michael Hedvat is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Pathology and Forensic Medicine, having authored 16 papers that have together received 953 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Virus-based gene therapy research (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Oncology (315 citations), Cellular and Molecular Neuroscience (193 citations), Developmental Neuroscience (41 citations), Biological Psychiatry (20 citations) and Neurology (62 citations). Michael Hedvat has collaborated with scholars based in United States and South Korea. Frequent co-authors include John C. Reed, Paul B. Fisher, Fan Yang, Swadesh K. Das, Devanand Sarkar, Rupesh Dash, Maurizio Pellecchia, John L. Stebbins, Paul Diaz and Richard Jove. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Cellular Physiology, Genes & Development and Molecular 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.