Mitch Raponi
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 5%
- PARP inhibition in cancer therapy
Papers in
- Oncology 35
- PARP inhibition in cancer therapy 23
- Colorectal Cancer Treatments and Studies 5
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- CRISPR and Genetic Engineering 6
- Protein Degradation and Inhibitors 4
- Co-authors
- Guoan Chen (2 shared papers)David G. Beer (2 shared papers)Lesley Dossey (4 shared papers)Hongtao Fan (2 shared papers)Tim Jatkoe (2 shared papers)Xiaoying Wu (1 shared paper)Greg M. Arndt (5 shared papers)Grace Lee (4 shared papers)
- Journals
- Journal of Clinical Oncology (15 papers)Cancer Research (9 papers)Blood (6 papers)European Journal of Cancer (6 papers)Annals of Oncology (5 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Mitch Raponi
64 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 952
- Oncology 535
- Molecular Biology 1.4k
- Hematology 124
- Pulmonary and Respiratory Medicine 327
Countries citing papers authored by Mitch Raponi
This map shows the geographic impact of Mitch Raponi'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 Mitch Raponi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitch Raponi more than expected).
Fields of papers citing papers by Mitch Raponi
This network shows the impact of papers produced by Mitch Raponi. 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 Mitch Raponi. The network helps show where Mitch Raponi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitch Raponi, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 345 | |
| 2 | 2006 | 330 | |
| 3 | 2009 | 230 | |
| 4 | 2017 | 215 | |
| 5 | 2018 | 179 | |
| 6 | 2008 | 105 | |
| 7 | 2007 | 100 | |
| 8 | 2005 | 82 | |
| 9 | 2015 | 75 | |
| 10 | 2004 | 74 | |
| 11 | 2007 | 53 | |
| 12 | 2013 | 47 | |
| 13 | 2004 | 41 | |
| 14 | 2003 | 38 | |
| 15 | 2018 | 32 | |
| 16 | 2014 | 29 | |
| 17 | 2002 | 28 | |
| 18 | 2016 | 28 | |
| 19 | 2015 | 20 | |
| 20 | 2004 | 17 |
About Mitch Raponi
Mitch Raponi is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Reproductive Medicine, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (23 papers), Cancer Genomics and Diagnostics (17 papers), Lung Cancer Treatments and Mutations (17 papers), Ovarian cancer diagnosis and treatment (9 papers), Acute Myeloid Leukemia Research (6 papers), CRISPR and Genetic Engineering (6 papers), Colorectal Cancer Treatments and Studies (5 papers) and Protein Degradation and Inhibitors (4 papers). The work is most often cited by research in Cancer Research (952 citations), Oncology (535 citations), Molecular Biology (1.4k citations), Hematology (124 citations) and Pulmonary and Respiratory Medicine (327 citations). Mitch Raponi has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Guoan Chen, David G. Beer, Lesley Dossey, Hongtao Fan, Tim Jatkoe, Xiaoying Wu, Greg M. Arndt, Grace Lee, Nicholas C. Dracopoli and Hans Winkler. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Blood, European Journal of Cancer and Annals of Oncology.
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.