Matthew Genet
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- DNA Repair Mechanisms 5
- DNA and Nucleic Acid Chemistry 3
- Oncology 6
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Takamitsu A. Kato (9 shared papers)Derek A. Wainwright (6 shared papers)Kristen L. Lauing (6 shared papers)Lijie Zhai (6 shared papers)Xuesong Liu (2 shared papers)Galina Gritsina (3 shared papers)Erik Ladomersky (4 shared papers)Jenna E. Haines (2 shared papers)
- Journals
- Journal of Radiation Research (2 papers)Clinical Cancer Research (1 paper)Oncology Reports (1 paper)Journal of Cellular Physiology (1 paper)Molecular Cytogenetics (1 paper)
- Partner nations
- United StatesJapanPhilippines
In The Last Decade
Matthew Genet
19 papers receiving 496 citations
Peers
Comparison fields: 5 of 78
- Biological Psychiatry 57
- Genetics 92
- Cancer Research 100
- Oncology 133
- Immunology 102
Countries citing papers authored by Matthew Genet
This map shows the geographic impact of Matthew Genet'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 Genet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Genet more than expected).
Fields of papers citing papers by Matthew Genet
This network shows the impact of papers produced by Matthew Genet. 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 Genet. The network helps show where Matthew Genet may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Genet, 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 | 2017 | 144 | |
| 2 | 2014 | 85 | |
| 3 | 2015 | 49 | |
| 4 | 2012 | 43 | |
| 5 | 2015 | 34 | |
| 6 | 2018 | 21 | |
| 7 | 2013 | 18 | |
| 8 | 2016 | 18 | |
| 9 | 2013 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 2012 | 14 | |
| 12 | 2014 | 13 | |
| 13 | 2015 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2014 | 5 | |
| 16 | 2024 | 2 | |
| 17 | 2018 | 2 | |
| 18 | Validation of 64Cu-ATSM damaging DNA via high-LET Auger electron emission | 2015 | 1 |
| 19 | 2016 | 1 | |
| 20 | 2024 | 0 |
About Matthew Genet
Matthew Genet is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 20 papers that have together received 498 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Carcinogens and Genotoxicity Assessment (4 papers), Tryptophan and brain disorders (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Radiation Therapy and Dosimetry (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Diagnosis and Treatment of Venous Diseases (3 papers). The work is most often cited by research in Biological Psychiatry (57 citations), Genetics (92 citations), Cancer Research (100 citations), Oncology (133 citations) and Immunology (102 citations). Matthew Genet has collaborated with scholars based in United States, Japan and Philippines. Frequent co-authors include Takamitsu A. Kato, Derek A. Wainwright, Kristen L. Lauing, Lijie Zhai, Xuesong Liu, Galina Gritsina, Erik Ladomersky, Jenna E. Haines, Zhi-Min Yuan and C. David James. Their work appears in journals such as Journal of Radiation Research, Clinical Cancer Research, Oncology Reports, Journal of Cellular Physiology and Molecular Cytogenetics.
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.