Marc Montminy

48.1k citations
162 papers · 39.9k indexed · 21 hit papers · h-index 95
Topics
Pancreatic function and diabetes (50 papers)Genomics and Chromatin Dynamics (30 papers)Metabolism, Diabetes, and Cancer (29 papers)

In The Last Decade

Marc Montminy

162 papers receiving 39.2k citations

Hit Papers

Cyclic AMP stimulates somatostatin gene transcription by ...19862026199920121989200119932005198650010001.5k2.0k

Peers

Marc Montminy
Comparison fields: 5 of 152
  • Molecular Biology 26.6k
  • Surgery 6.9k
  • Genetics 6.7k
  • Cellular and Molecular Neuroscience 5.6k
  • Physiology 5.1k
Replace Morris J. Birnbaum with:
Morris J. Birnbaum United States
Günther Schütz Germany
Dario R. Alessi United Kingdom
John Blenis United States
Domenico Accili United States
Klaus H. Kaestner United States
Robert E. Hammer United States
Brian A. Hemmings Switzerland
Vincent Giguère Canada
Jeffrey Milbrandt United States
Marc Montminy relative to Morris J. Birnbaum United States Morris J. Birnbaum's profile →
Citations per field
00.5×2.5×
Morris J. Birnbaum · 1×
Citations per year

Countries citing papers authored by Marc Montminy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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