Michael Hedvat
Impact in
Papers in
- Oncology 10
- Cytokine Signaling Pathways and Interactions 6
- CAR-T cell therapy research 3
-
- Cancer Mechanisms and Therapy 4
- Co-authors
- Fan Yang (3 shared papers)Rupesh Dash (3 shared papers)Devanand Sarkar (3 shared papers)Maurizio Pellecchia (3 shared papers)John C. Reed (3 shared papers)Swadesh Kumar Das (3 shared papers)Paul B. Fisher (3 shared papers)John L. Stebbins (2 shared papers)
- Journals
- Molecular Cancer Therapeutics (3 papers)Journal of Cellular Physiology (2 papers)Cancer Cell (2 papers)Cancer Research (2 papers)Journal for ImmunoTherapy of Cancer (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Michael Hedvat
15 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 96
- Oncology 689
- Genetics 170
- Pathology and Forensic Medicine 213
- Immunology 226
- Cancer Research 150
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 | 2009 | 465 | |
| 2 | 2010 | 339 | |
| 3 | 2011 | 173 | |
| 4 | 2011 | 111 | |
| 5 | 2010 | 106 | |
| 6 | 2011 | 102 | |
| 7 | 2010 | 95 | |
| 8 | 2008 | 84 | |
| 9 | 2011 | 53 | |
| 10 | 2011 | 46 | |
| 11 | 2004 | 30 | |
| 12 | 2012 | 19 | |
| 13 | 2024 | 12 | |
| 14 | 2016 | 11 | |
| 15 | The Src family kinase inhibitor, dasatinib, inhibits angiogenesis in vitro and in vivo | 2008 | 3 |
About Michael Hedvat
Michael Hedvat is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Immunology and Developmental Neuroscience, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Cancer Mechanisms and Therapy (4 papers), CAR-T cell therapy research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cell death mechanisms and regulation (2 papers), Virus-based gene therapy research (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Oncology (689 citations), Genetics (170 citations), Pathology and Forensic Medicine (213 citations), Immunology (226 citations) and Cancer Research (150 citations). Michael Hedvat has collaborated with scholars based in United States and South Korea. Frequent co-authors include Fan Yang, Rupesh Dash, Devanand Sarkar, Maurizio Pellecchia, John C. Reed, Swadesh Kumar Das, Paul B. Fisher, John L. Stebbins, Richard Jove and Zhao-zhong Su. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Cellular Physiology, Cancer Cell, Cancer Research and Journal for ImmunoTherapy of Cancer.
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.