Matthew W. VanBrocklin
- Genetics top 10%
- Glioma Diagnosis and Treatment 6
- Virus-based gene therapy research 5
- Oncology top 10%
- CAR-T cell therapy research 4
- Genetics top 10%
- Glioma Diagnosis and Treatment 6
- Virus-based gene therapy research 5
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- Immunotherapy and Immune Responses 4
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- Melanoma and MAPK Pathways 8
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- Cancer Mechanisms and Therapy 6
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- HIV Research and Treatment 3
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- Computational Drug Discovery Methods 3
- Co-authors
- Mark J. FederspielSheri L. HolmenCarolyn A. WilsonSusan WongJames P. RobinsonNancy A. StaffendKathryn M. EisenmannHan Koo
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Matthew W. VanBrocklin
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Genetics 110
- Oncology 275
- Genetics 270
- Immunology 190
- Molecular Biology 617
Countries citing papers authored by Matthew W. VanBrocklin
This map shows the geographic impact of Matthew W. VanBrocklin'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 W. VanBrocklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew W. VanBrocklin more than expected).
Fields of papers citing papers by Matthew W. VanBrocklin
This network shows the impact of papers produced by Matthew W. VanBrocklin. 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 W. VanBrocklin. The network helps show where Matthew W. VanBrocklin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew W. VanBrocklin, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 18 | |
| 6 | 2019 | 44 | |
| 7 | 2018 | 40 | |
| 8 | 2017 | 6 | |
| 9 | 2017 | 17 | |
| 10 | 2016 | 9 | |
| 11 | 2015 | 105 | |
| 12 | 2013 | 4 | |
| 13 | 2011 | 9 | |
| 14 | 2010 | 26 | |
| 15 | 2009 | 59 | |
| 16 | 2009 | 7 | |
| 17 | 2007 | 31 | |
| 18 | Mitogen-activated protein kinase pathway-dependent tumor-specific survival signaling in melanoma cells through inactivation of the proapoptotic protein bad. | 2003 | 120 |
| 19 | 2000 | 14 | |
| 20 | 1998 | 174 |
About Matthew W. VanBrocklin
Matthew W. VanBrocklin is a scholar working on Virology, Genetics and Pathology and Forensic Medicine, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (8 papers), Cancer Mechanisms and Therapy (6 papers), Glioma Diagnosis and Treatment (6 papers), Virus-based gene therapy research (5 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (4 papers), HIV Research and Treatment (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Genetics (110 citations), Oncology (275 citations) and Genetics (270 citations). Matthew W. VanBrocklin has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Mark J. Federspiel, Sheri L. Holmen, Carolyn A. Wilson, Susan Wong, James P. Robinson, Nancy A. Staffend, Kathryn M. Eisenmann, Han Koo, Eugene V. Barsov and Janet Schaefer-Klein. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Oncogene.
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.