Matthew D. Wilkerson
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 11
- Cancer-related molecular mechanisms research 6
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- Lung Cancer Treatments and Mutations 8
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 10
- RNA modifications and cancer 8
- Molecular Biology Techniques and Applications 5
- Gene expression and cancer classification 5
- Epigenetics and DNA Methylation 5
- Oncology top 2%
- Immunology top 5%
- Co-authors
- D. Neil HayesCharles M. PerouKe XianA. C. S. PeacockVolker BrendelJoel S. ParkerChristopher R. CabanskiKatherine A. Hoadley
- Journals
- Nucleic Acids Research (4 papers)Nature Communications (1 paper)Journal of Clinical Oncology (4 papers)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Matthew D. Wilkerson
69 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Cancer Research 1.9k
- Pulmonary and Respiratory Medicine 2.1k
- Molecular Biology 3.3k
- Oncology 1.3k
- Immunology 788
Countries citing papers authored by Matthew D. Wilkerson
This map shows the geographic impact of Matthew D. Wilkerson'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 D. Wilkerson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Wilkerson more than expected).
Fields of papers citing papers by Matthew D. Wilkerson
This network shows the impact of papers produced by Matthew D. Wilkerson. 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 D. Wilkerson. The network helps show where Matthew D. Wilkerson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew D. Wilkerson, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 25 | |
| 10 | 2018 | 18 | |
| 11 | 2015 | 6 | |
| 12 | 2014 | 102 | |
| 13 | 2014 | 14 | |
| 14 | 2013 | 134 | |
| 15 | 2013 | 16 | |
| 16 | 2012 | 13 | |
| 17 | 2012 | 192 | |
| 18 | 2010 | 194 | |
| 19 | 2006 | 17 | |
| 20 | 2004 | 18 |
About Matthew D. Wilkerson
Matthew D. Wilkerson is a scholar working on Cancer Research, Behavioral Neuroscience and Molecular Biology, having authored 72 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Genomics and Phylogenetic Studies (10 papers), RNA modifications and cancer (8 papers), Lung Cancer Treatments and Mutations (8 papers), Cancer-related molecular mechanisms research (6 papers), Molecular Biology Techniques and Applications (5 papers), Gene expression and cancer classification (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (1.9k citations), Pulmonary and Respiratory Medicine (2.1k citations) and Molecular Biology (3.3k citations). Matthew D. Wilkerson has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include D. Neil Hayes, Charles M. Perou, Ke Xian, A. C. S. Peacock, Volker Brendel, Joel S. Parker, Christopher R. Cabanski, Katherine A. Hoadley, Carolyn J. Lawrence and Xiaoying Yin. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical 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.