Mark A. Gregory
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Ubiquitin and proteasome pathways 6
- Cell death mechanisms and regulation 5
- Protein Degradation and Inhibitors 2
-
- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Stephan Hann (7 shared papers)Ying Qi (1 shared paper)Aaron M. Domina (2 shared papers)Julie A. Vrana (2 shared papers)Ruth W. Craig (2 shared papers)James DeGregori (11 shared papers)Vadym Zaberezhnyy (8 shared papers)Ying Qi (2 shared papers)
- Journals
- Clinical Cancer Research (3 papers)Oncogene (2 papers)Molecular and Cellular Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Computer Networks (1 paper)
- Partner nations
- United StatesAustraliaUkraine
In The Last Decade
Mark A. Gregory
22 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 79
- Hematology 317
- Cancer Research 350
- Oncology 550
- Molecular Biology 1.5k
- Genetics 139
Countries citing papers authored by Mark A. Gregory
This map shows the geographic impact of Mark A. 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 A. 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 A. Gregory more than expected).
Fields of papers citing papers by Mark A. Gregory
This network shows the impact of papers produced by Mark A. 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 A. Gregory. The network helps show where Mark A. Gregory may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark A. 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 394 | |
| 2 | 2003 | 372 | |
| 3 | 2004 | 264 | |
| 4 | 2004 | 178 | |
| 5 | 2010 | 144 | |
| 6 | 2019 | 131 | |
| 7 | 2016 | 81 | |
| 8 | 2017 | 66 | |
| 9 | 2013 | 60 | |
| 10 | 2014 | 56 | |
| 11 | 2012 | 37 | |
| 12 | 2000 | 35 | |
| 13 | 2012 | 33 | |
| 14 | 2004 | 25 | |
| 15 | 2000 | 19 | |
| 16 | 2022 | 18 | |
| 17 | 2014 | 12 | |
| 18 | 2012 | 12 | |
| 19 | 2023 | 2 | |
| 20 | 2010 | 1 |
About Mark A. Gregory
Mark A. Gregory is a scholar working on Molecular Biology, Hematology, Oncology, Cancer Research and Rheumatology, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Cell death mechanisms and regulation (5 papers), Cancer-related Molecular Pathways (5 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Hematology (317 citations), Cancer Research (350 citations), Oncology (550 citations), Molecular Biology (1.5k citations) and Genetics (139 citations). Mark A. Gregory has collaborated with scholars based in United States, Australia and Ukraine. Frequent co-authors include Stephan Hann, Ying Qi, Aaron M. Domina, Julie A. Vrana, Ruth W. Craig, James DeGregori, Vadym Zaberezhnyy, Ying Qi, Jeffrey P. Brousal and Travis Nemkov. Their work appears in journals such as Clinical Cancer Research, Oncogene, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and Computer Networks.
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.