Michael J. Quist
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas
- Genetic factors in colorectal cancer
Papers in
-
- Cancer Genomics and Diagnostics 4
- Oncology 5
- Co-authors
- Catherine S. Grasso (10 shared papers)Scott Arthur Tomlins (5 shared papers)Andrew S. McDaniel (3 shared papers)Venkata Yadati (2 shared papers)Chia‐Jen Liu (2 shared papers)Arul M. Chinnaiyan (3 shared papers)Daniel H. Hovelson (2 shared papers)Andi K. Cani (2 shared papers)
- Journals
- Avian Diseases (1 paper)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (1 paper)Molecular and Cellular Endocrinology (1 paper)Journal of Molecular Diagnostics (1 paper)Neoplasia (1 paper)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
Michael J. Quist
17 papers receiving 450 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 148
- Pathology and Forensic Medicine 133
- Dermatology 41
- Oncology 105
- Genetics 33
Countries citing papers authored by Michael J. Quist
This map shows the geographic impact of Michael J. Quist'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 Michael J. Quist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Quist more than expected).
Fields of papers citing papers by Michael J. Quist
This network shows the impact of papers produced by Michael J. Quist. 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 Michael J. Quist. The network helps show where Michael J. Quist may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Quist, 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 | 2015 | 106 | |
| 2 | 2014 | 89 | |
| 3 | 2011 | 58 | |
| 4 | 2014 | 38 | |
| 5 | 2014 | 32 | |
| 6 | 2018 | 26 | |
| 7 | 2017 | 22 | |
| 8 | 2013 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 2018 | 14 | |
| 11 | 2020 | 11 | |
| 12 | 2014 | 9 | |
| 13 | 1999 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2002 | 3 | |
| 16 | 2001 | 2 | |
| 17 | 2025 | 1 |
About Michael J. Quist
Michael J. Quist is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Genetics and Immunology, having authored 17 papers that have together received 460 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Quantum, superfluid, helium dynamics (2 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers), Genetic factors in colorectal cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Immunotherapy and Immune Responses (2 papers) and Urinary and Genital Oncology Studies (2 papers). The work is most often cited by research in Cancer Research (148 citations), Pathology and Forensic Medicine (133 citations), Dermatology (41 citations), Oncology (105 citations) and Genetics (33 citations). Michael J. Quist has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Catherine S. Grasso, Scott Arthur Tomlins, Andrew S. McDaniel, Venkata Yadati, Chia‐Jen Liu, Arul M. Chinnaiyan, Daniel H. Hovelson, Andi K. Cani, Anmol M. Amin and Christopher L. Corless. Their work appears in journals such as Avian Diseases, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Molecular and Cellular Endocrinology, Journal of Molecular Diagnostics and Neoplasia.
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.