Mark Gregory
Impact in
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- DNA Repair Mechanisms
- DNA and Nucleic Acid Chemistry
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Cancer therapeutics and mechanisms
Papers in
-
- DNA Repair Mechanisms 6
- DNA and Nucleic Acid Chemistry 6
- Single-cell and spatial transcriptomics 4
- RNA and protein synthesis mechanisms 3
- Oncology 4
- Co-authors
- Wei Yang (7 shared papers)Christian Biertümpfel (3 shared papers)Fumio Hanaoka (3 shared papers)Ye Zhao (3 shared papers)Young‐Sam Lee (2 shared papers)Yuejin Hua (2 shared papers)Yuji Kondo (1 shared paper)Jae Young Lee (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Nucleic Acids Research (2 papers)Cancer Research (2 papers)Journal of the American Academy of Dermatology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Mark Gregory
15 papers receiving 827 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 205
- Molecular Biology 768
- Oncology 147
- Genetics 122
- Pathology and Forensic Medicine 46
Countries citing papers authored by Mark Gregory
This map shows the geographic impact of Mark Gregory'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 Mark Gregory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Gregory more than expected).
Fields of papers citing papers by Mark Gregory
This network shows the impact of papers produced by Mark Gregory. 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 Mark Gregory. The network helps show where Mark Gregory may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Gregory, 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 | 2010 | 279 | |
| 2 | 2014 | 148 | |
| 3 | 2012 | 138 | |
| 4 | 2013 | 68 | |
| 5 | 2014 | 59 | |
| 6 | 2015 | 57 | |
| 7 | 2008 | 28 | |
| 8 | 2023 | 17 | |
| 9 | 2018 | 15 | |
| 10 | 2021 | 13 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Mark Gregory
Mark Gregory is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Epidemiology, having authored 17 papers that have together received 831 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), DNA and Nucleic Acid Chemistry (6 papers), Single-cell and spatial transcriptomics (4 papers), RNA and protein synthesis mechanisms (3 papers), Immune cells in cancer (3 papers), Nanoplatforms for cancer theranostics (2 papers), Cancer Genomics and Diagnostics (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Cancer Research (205 citations), Molecular Biology (768 citations), Oncology (147 citations), Genetics (122 citations) and Pathology and Forensic Medicine (46 citations). Mark Gregory has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Wei Yang, Christian Biertümpfel, Fumio Hanaoka, Ye Zhao, Young‐Sam Lee, Yuejin Hua, Yuji Kondo, Jae Young Lee, Chikahide Masutani and Alan R. Lehmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research, Cancer Research, Journal of the American Academy of Dermatology and Clinical Cancer Research.
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.