M. Lis

66 papers receiving 1.6k citations

Peers

M. Lis
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 1.3k
  • Behavioral Neuroscience 115
  • Endocrinology, Diabetes and Metabolism 235
  • Endocrine and Autonomic Systems 69
  • Reproductive Medicine 112
Replace A. Dupont with:
A. Dupont Canada
J.F. McKelvy United States
Françoise Boudouresque France
Seymour Heisler Canada
Ivan S. Login United States
Marcella Motta Italy
William G. North United States
Jaw‐Kang Chang United States
Monika Schäfer Germany
Bonnie W. Peng United States
M. Lis relative to A. Dupont Canada A. Dupont's profile →
Citations per field
00.5×2×2.8×
A. Dupont · 1×
Citations per year

Countries citing papers authored by M. Lis

Since Specialization
Citations

This map shows the geographic impact of M. Lis'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 M. Lis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Lis more than expected).

Fields of papers citing papers by M. Lis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Lis. 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 M. Lis. The network helps show where M. Lis may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Lis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Lis Line = papers co-authored together M. Lis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977202
2 1978141
3 1979133
4 1976125
5 197786
6 198181
7 197776
8 197976
9 198157
10 197854
11 197853
12 197745
13 197740
14 197738
15 197838
16 197731
17 197830
18 198030
19 199927
20 197826

About M. Lis

M. Lis is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Biochemistry and Endocrine and Autonomic Systems, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (42 papers), Hypothalamic control of reproductive hormones (8 papers), Hormonal Regulation and Hypertension (8 papers), Pituitary Gland Disorders and Treatments (8 papers), Lipid metabolism and biosynthesis (6 papers), Regulation of Appetite and Obesity (5 papers), Adrenal Hormones and Disorders (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Behavioral Neuroscience (115 citations), Endocrinology, Diabetes and Metabolism (235 citations), Endocrine and Autonomic Systems (69 citations) and Reproductive Medicine (112 citations). M. Lis has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Michel Chrétien, Nabil Georges Seidah, Philippe Crine, Suzanne Benjannet, Christina Gianoulakis, Françis Gossard, Paul D. Pezalla, Georges Pelletier, Fernand Labrie and Rachel Leclerc. Their work appears in journals such as Life Sciences, Biochemical and Biophysical Research Communications, Canadian Journal of Physiology and Pharmacology, Proceedings of the National Academy of Sciences and The Lancet.

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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