Martin Lis
Impact in
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- Neuropeptides and Animal Physiology
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Receptor Mechanisms and Signaling 6
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- Neuropeptides and Animal Physiology 8
- Co-authors
- Michel Chrétien (9 shared papers)Nabil G. Seidah (7 shared papers)Peter W. Schiller (2 shared papers)Jacques Genest (3 shared papers)Otto Kuchel (1 shared paper)Thomas Unger (1 shared paper)Nguyen T. Buu (1 shared paper)Philippe Crine (2 shared papers)
- Journals
- Life Sciences (3 papers)Biochemical and Biophysical Research Communications (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Biochemistry (2 papers)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Martin Lis
15 papers receiving 381 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 243
- Behavioral Neuroscience 43
- Endocrine and Autonomic Systems 70
- Endocrinology, Diabetes and Metabolism 92
- Reproductive Medicine 39
Countries citing papers authored by Martin Lis
This map shows the geographic impact of Martin 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 Martin Lis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Lis more than expected).
Fields of papers citing papers by Martin Lis
This network shows the impact of papers produced by Martin 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 Martin Lis. The network helps show where Martin Lis may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Lis, 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 | 1977 | 67 | |
| 2 | 1979 | 64 | |
| 3 | 1978 | 43 | |
| 4 | 1977 | 41 | |
| 5 | 1981 | 40 | |
| 6 | 1977 | 32 | |
| 7 | 1978 | 29 | |
| 8 | 1999 | 27 | |
| 9 | 1981 | 19 | |
| 10 | 1977 | 15 | |
| 11 | 1977 | 13 | |
| 12 | 2008 | 13 | |
| 13 | 1982 | 13 | |
| 14 | 1984 | 12 | |
| 15 | 1980 | 3 | |
| 16 | 2008 | 0 |
About Martin Lis
Martin Lis is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Surgery and Physiology, having authored 16 papers that have together received 431 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (6 papers), Pituitary Gland Disorders and Treatments (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Hypothalamic control of reproductive hormones (2 papers), Hormonal Regulation and Hypertension (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (243 citations), Behavioral Neuroscience (43 citations), Endocrine and Autonomic Systems (70 citations), Endocrinology, Diabetes and Metabolism (92 citations) and Reproductive Medicine (39 citations). Martin Lis has collaborated with scholars based in Canada and United States. Frequent co-authors include Michel Chrétien, Nabil G. Seidah, Peter W. Schiller, Jacques Genest, Otto Kuchel, Thomas Unger, Nguyen T. Buu, Philippe Crine, Frank S. LaBella and Jolanta Gutkowska. Their work appears in journals such as Life Sciences, Biochemical and Biophysical Research Communications, The Journal of Clinical Endocrinology & Metabolism, Biochemistry and Antimicrobial Agents and Chemotherapy.
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.