Mark Pinese
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
-
- RNA Research and Splicing 5
- S100 Proteins and Annexins 4
- RNA modifications and cancer 4
- Retinoids in leukemia and cellular processes 2
- Oncology 10
- Pancreatic and Hepatic Oncology Research 6
- Co-authors
- Andrew V. Biankin (19 shared papers)Mark J. Cowley (16 shared papers)Sean M. Grimmond (4 shared papers)Nicola Waddell (4 shared papers)John V. Pearson (2 shared papers)Jianmin Wu (2 shared papers)Karin S. Kassahn (1 shared paper)Sampsa Hautaniemi (1 shared paper)
- Journals
- PLoS ONE (5 papers)British Journal of Cancer (3 papers)Oncogene (2 papers)Nature Reviews Clinical Oncology (2 papers)Cancer Research (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Mark Pinese
41 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 276
- Oncology 416
- Geriatrics and Gerontology 44
- Molecular Biology 776
- Genetics 86
Countries citing papers authored by Mark Pinese
This map shows the geographic impact of Mark Pinese'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 Mark Pinese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Pinese more than expected).
Fields of papers citing papers by Mark Pinese
This network shows the impact of papers produced by Mark Pinese. 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 Mark Pinese. The network helps show where Mark Pinese may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Pinese, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 270 | |
| 2 | 2010 | 142 | |
| 3 | 2008 | 87 | |
| 4 | 2018 | 82 | |
| 5 | 2017 | 79 | |
| 6 | 2009 | 73 | |
| 7 | 2007 | 68 | |
| 8 | 2018 | 67 | |
| 9 | 2017 | 55 | |
| 10 | 2013 | 54 | |
| 11 | 2011 | 54 | |
| 12 | 2010 | 50 | |
| 13 | 2015 | 45 | |
| 14 | 2014 | 42 | |
| 15 | 2021 | 39 | |
| 16 | 2008 | 34 | |
| 17 | 2019 | 34 | |
| 18 | 2016 | 25 | |
| 19 | 2011 | 23 | |
| 20 | 2018 | 21 |
About Mark Pinese
Mark Pinese is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Genetics, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Genomics and Rare Diseases (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), RNA Research and Splicing (5 papers), S100 Proteins and Annexins (4 papers), RNA modifications and cancer (4 papers), Neurofibromatosis and Schwannoma Cases (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Cancer Research (276 citations), Oncology (416 citations), Geriatrics and Gerontology (44 citations), Molecular Biology (776 citations) and Genetics (86 citations). Mark Pinese has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Andrew V. Biankin, Mark J. Cowley, Sean M. Grimmond, Nicola Waddell, John V. Pearson, Jianmin Wu, Karin S. Kassahn, Sampsa Hautaniemi, Robert L. Sutherland and Elizabeth A. Musgrove. Their work appears in journals such as PLoS ONE, British Journal of Cancer, Oncogene, Nature Reviews Clinical Oncology and 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.