Mark Pinese
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
-
- RNA Research and Splicing 5
- RNA modifications and cancer 4
- S100 Proteins and Annexins 3
- Oncology 16
- Pancreatic and Hepatic Oncology Research 10
- HER2/EGFR in Cancer Research 3
- Co-authors
- Andrew V. Biankin (18 shared papers)Mark J. Cowley (16 shared papers)Nicola Waddell (4 shared papers)Sean M. Grimmond (4 shared papers)John V. Pearson (2 shared papers)Sampsa Hautaniemi (1 shared paper)Karin S. Kassahn (1 shared paper)Jianmin Wu (2 shared papers)
- Journals
- PLoS ONE (5 papers)British Journal of Cancer (3 papers)Cancer (2 papers)Nature Reviews Clinical Oncology (2 papers)European Journal of Human Genetics (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Mark Pinese
39 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 301
- Oncology 427
- Molecular Biology 798
- Geriatrics and Gerontology 45
- Genetics 91
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 258 | |
| 2 | 2010 | 141 | |
| 3 | 2008 | 87 | |
| 4 | 2018 | 81 | |
| 5 | 2017 | 77 | |
| 6 | 2018 | 65 | |
| 7 | 2007 | 60 | |
| 8 | 2011 | 53 | |
| 9 | 2013 | 52 | |
| 10 | 2017 | 52 | |
| 11 | 2010 | 48 | |
| 12 | 2015 | 45 | |
| 13 | 2014 | 40 | |
| 14 | 2021 | 38 | |
| 15 | 2019 | 34 | |
| 16 | 2008 | 33 | |
| 17 | 2011 | 23 | |
| 18 | 2016 | 22 | |
| 19 | 2011 | 20 | |
| 20 | 2018 | 19 |
About Mark Pinese
Mark Pinese is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Surgery, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (10 papers), Cancer Genomics and Diagnostics (9 papers), Genomics and Rare Diseases (8 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers), Pancreatitis Pathology and Treatment (3 papers), HER2/EGFR in Cancer Research (3 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Cancer Research (301 citations), Oncology (427 citations), Molecular Biology (798 citations), Geriatrics and Gerontology (45 citations) and Genetics (91 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, Nicola Waddell, Sean M. Grimmond, John V. Pearson, Sampsa Hautaniemi, Karin S. Kassahn, Jianmin Wu, Elizabeth A. Musgrove and Robert L. Sutherland. Their work appears in journals such as PLoS ONE, British Journal of Cancer, Cancer, Nature Reviews Clinical Oncology and European Journal of Human Genetics.
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.