Matthew Grimmer
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 7
- Glioma Diagnosis and Treatment 7
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- Cancer Genomics and Diagnostics 4
- Co-authors
- William A. Weiss (6 shared papers)Joseph Costello (5 shared papers)Susan Marina Chang (3 shared papers)Michael Traut Wahl (1 shared paper)Serah Choi (1 shared paper)Yu Yao (1 shared paper)Louis Chesler (4 shared papers)Peggy Farnham (4 shared papers)
- Journals
- Nature (4 papers)Neuro-Oncology (4 papers)Nature Communications (2 papers)Nucleic Acids Research (2 papers)Cell (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Matthew Grimmer
23 papers receiving 2.3k citations
Matthew Grimmer's Hit Papers
Peers
Comparison fields: 5 of 85
- Genetics 708
- Cancer Research 643
- Oncology 538
- Neurology 309
- Molecular Biology 1.1k
Countries citing papers authored by Matthew Grimmer
This map shows the geographic impact of Matthew Grimmer'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 Grimmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Grimmer more than expected).
Fields of papers citing papers by Matthew Grimmer
This network shows the impact of papers produced by Matthew Grimmer. 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 Grimmer. The network helps show where Matthew Grimmer may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Grimmer, 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 | Comprehensive Analysis of Hypermutation in Human Cancer Hit paper breakdown → | 2017 | 605 |
| 2 | Longitudinal molecular trajectories of diffuse glioma in adults Hit paper breakdown → | 2019 | 422 |
| 3 | Antibody targeting of E3 ubiquitin ligases for receptor degradation Hit paper breakdown → | 2022 | 194 |
| 4 | 2012 | 174 | |
| 5 | 2018 | 156 | |
| 6 | 2022 | 112 | |
| 7 | 2006 | 91 | |
| 8 | 2022 | 81 | |
| 9 | 2021 | 80 | |
| 10 | 2012 | 73 | |
| 11 | 2020 | 61 | |
| 12 | 2008 | 60 | |
| 13 | 2007 | 58 | |
| 14 | 2014 | 57 | |
| 15 | 2016 | 29 | |
| 16 | 2015 | 23 | |
| 17 | 2020 | 20 | |
| 18 | 2025 | 10 | |
| 19 | 2024 | 10 | |
| 20 | 2015 | 7 |
About Matthew Grimmer
Matthew Grimmer is a scholar working on Genetics, Cancer Research, Molecular Biology, Neurology and Cell Biology, having authored 24 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (4 papers), CRISPR and Genetic Engineering (3 papers), Neuroblastoma Research and Treatments (3 papers), Protein Degradation and Inhibitors (3 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Genetics (708 citations), Cancer Research (643 citations), Oncology (538 citations), Neurology (309 citations) and Molecular Biology (1.1k citations). Matthew Grimmer has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include William A. Weiss, Joseph Costello, Susan Marina Chang, Michael Traut Wahl, Serah Choi, Yu Yao, Louis Chesler, Peggy Farnham, Anders I. Persson and Christopher S. Hackett. Their work appears in journals such as Nature, Neuro-Oncology, Nature Communications, Nucleic Acids Research and Cell.
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.