M. Lis

33 papers receiving 944 citations

Peers

M. Lis
Comparison fields: 5 of 74
  • Endocrine and Autonomic Systems 287
  • Cellular and Molecular Neuroscience 702
  • Behavioral Neuroscience 108
  • Reproductive Medicine 122
  • Endocrinology, Diabetes and Metabolism 175
Replace Paola Lembo with:
Paola Lembo Canada
Nanda Tilakaratne Australia
Ravindra K. Malhotra United States
Chantévy Pou Canada
W Knepel Germany
Ruta Slepetis United States
J.A. Biggins United Kingdom
Yukio Shimomura Japan
Rosa María Di Giorgio Italy
Sandrine De Seranno France
M. Lis relative to Paola Lembo Canada Paola Lembo's profile →
Citations per field
00.5×3.3×
Paola Lembo · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977169
2 1978130
3 1976107
4 197780
5 198174
6 197973
7 197849
8 198839
9 197833
10 199632
11 197732
12 198028
13 197728
14 197825
15 197720
16 197619
17 197718
18 200417
19 197617
20 197416

About M. Lis

M. Lis is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Physiology and Endocrine and Autonomic Systems, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (14 papers), Receptor Mechanisms and Signaling (11 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Adipose Tissue and Metabolism (5 papers), Regulation of Appetite and Obesity (5 papers), Chemical Synthesis and Analysis (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Hypothalamic control of reproductive hormones (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (287 citations), Cellular and Molecular Neuroscience (702 citations), Behavioral Neuroscience (108 citations), Reproductive Medicine (122 citations) and Endocrinology, Diabetes and Metabolism (175 citations). M. Lis has collaborated with scholars based in Canada, Belarus and United States. Frequent co-authors include Michel Chrétien, Nabil G. Seidah, Philippe Crine, Suzanne Benjannet, Paul D. Pezalla, Françis Gossard, G. Pelletier, Rachel Leclerc, Fernand Labrie and James E. Côté. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Endocrinology, FEBS Letters and Canadian Journal of Physiology and Pharmacology.

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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