Matthew Onsum
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
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- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 16
- HER2/EGFR in Cancer Research 13
- Colorectal Cancer Treatments and Studies 3
-
- Advanced Biosensing Techniques and Applications 2
- Co-authors
- Christopher V. Rao (2 shared papers)Ulrik B. Nielsen (6 shared papers)Emily Pace (2 shared papers)Charlotte F. McDonagh (8 shared papers)Birgit Schoeberl (3 shared papers)Violette Paragas (6 shared papers)Johanna Lahdenranta (4 shared papers)Kwok‐Kin Wong (3 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Cancer Research (5 papers)PLoS Computational Biology (2 papers)Hematological Oncology (2 papers)Science Signaling (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Matthew Onsum
22 papers receiving 627 citations
Peers
Comparison fields: 5 of 72
- Oncology 294
- Radiology, Nuclear Medicine and Imaging 189
- Modeling and Simulation 28
- Cell Biology 79
- Biophysics 26
Countries citing papers authored by Matthew Onsum
This map shows the geographic impact of Matthew Onsum'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 Matthew Onsum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Onsum more than expected).
Fields of papers citing papers by Matthew Onsum
This network shows the impact of papers produced by Matthew Onsum. 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 Matthew Onsum. The network helps show where Matthew Onsum may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Onsum, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 215 | |
| 2 | 2013 | 85 | |
| 3 | 2013 | 73 | |
| 4 | 2007 | 67 | |
| 5 | 2005 | 42 | |
| 6 | 2016 | 36 | |
| 7 | 2009 | 33 | |
| 8 | 2022 | 30 | |
| 9 | 2006 | 19 | |
| 10 | 2013 | 9 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2012 | 3 | |
| 16 | 2013 | 3 | |
| 17 | 2011 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2012 | 2 | |
| 20 | 2011 | 1 |
About Matthew Onsum
Matthew Onsum is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 24 papers that have together received 642 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (13 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Lung Cancer Treatments and Mutations (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Microtubule and mitosis dynamics (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Oncology (294 citations), Radiology, Nuclear Medicine and Imaging (189 citations), Modeling and Simulation (28 citations), Cell Biology (79 citations) and Biophysics (26 citations). Matthew Onsum has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Christopher V. Rao, Ulrik B. Nielsen, Emily Pace, Charlotte F. McDonagh, Birgit Schoeberl, Violette Paragas, Johanna Lahdenranta, Kwok‐Kin Wong, Danan Li and Zandra E. Walton. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, PLoS Computational Biology, Hematological Oncology and Science Signaling.
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.