Marc Montminy
- Molecular Biology top 0.05%
- Surgery top 0.1%
- Genetics top 0.05%
- Cellular and Molecular Neuroscience top 0.1%
- Physiology top 0.2%
- Co-authors
- Gustavo GonzálezB MayrKeyong DuRichard H. GoodmanLouise M. BilezikjianKaren YamamotoPaul K. BrindleSeung‐Hoi Koo
- Topics
- Pancreatic function and diabetes (50 papers)Genomics and Chromatin Dynamics (30 papers)Metabolism, Diabetes, and Cancer (29 papers)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Marc Montminy
162 papers receiving 39.2k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 26.6k
- Surgery 6.9k
- Genetics 6.7k
- Cellular and Molecular Neuroscience 5.6k
- Physiology 5.1k
Countries citing papers authored by Marc Montminy
This map shows the geographic impact of Marc Montminy'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 Marc Montminy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Montminy more than expected).
Fields of papers citing papers by Marc Montminy
This network shows the impact of papers produced by Marc Montminy. 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 Marc Montminy. The network helps show where Marc Montminy may publish in the future.
Co-authorship network of co-authors of Marc Montminy
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Montminy. A scholar is included among the top collaborators of Marc Montminy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc Montminy. Marc Montminy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 26 | |
| 3 | 159 | |
| 4 | 81 | |
| 5 | 219 | |
| 6 | 316 | |
| 7 | The Kinase LKB1 Mediates Glucose Homeostasis in Liver and Therapeutic Effects of Metforminbreakdown → | 1580 |
| 8 | 263 | |
| 9 | 177 | |
| 10 | The CREB Coactivator TORC2 Functions as a Calcium- and cAMP-Sensitive Coincidence Detectorbreakdown → | 541 |
| 11 | TRB3: A tribbles Homolog That Inhibits Akt/PKB Activation by Insulin in Liverbreakdown → | 705 |
| 12 | 466 | |
| 13 | 160 | |
| 14 | 11 | |
| 15 | 133 | |
| 16 | 89 | |
| 17 | 344 | |
| 18 | 135 | |
| 19 | 27 | |
| 20 | 97 |
About Marc Montminy
Marc Montminy is a scholar working on Aging, Molecular Biology and Genetics, having authored 162 papers that have together received 39.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (50 papers), Genomics and Chromatin Dynamics (30 papers) and Metabolism, Diabetes, and Cancer (29 papers). The work is most often cited by research in Aging (903 citations), Molecular Biology (26.6k citations) and Cellular and Molecular Neuroscience (5.6k citations). Marc Montminy has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Gustavo González, B Mayr, Keyong Du, Richard H. Goodman, Louise M. Bilezikjian, Karen Yamamoto, Paul K. Brindle, Seung‐Hoi Koo, Susan Hedrick and Judith Y. Altarejos. Their work appears in journals such as Nature, Science 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.