Martin Lis
Impact in
-
- Neuropeptides and Animal Physiology
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Receptor Mechanisms and Signaling 6
- Chemical Synthesis and Analysis 2
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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)Thomas Unger (1 shared paper)Nguyen T. Buu (1 shared paper)Otto Kuchel (1 shared paper)R. Collu (3 shared papers)
- Journals
- Life Sciences (3 papers)Biochemistry (2 papers)Biochemical and Biophysical Research Communications (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Science (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Martin Lis
16 papers receiving 405 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 247
- Behavioral Neuroscience 46
- Endocrine and Autonomic Systems 70
- Endocrinology, Diabetes and Metabolism 111
- Reproductive Medicine 43
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 | 1985 | 26 | |
| 9 | 1999 | 26 | |
| 10 | 1981 | 19 | |
| 11 | 1977 | 15 | |
| 12 | 1985 | 13 | |
| 13 | 1977 | 13 | |
| 14 | 1982 | 13 | |
| 15 | 1984 | 12 | |
| 16 | 1980 | 3 |
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 456 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), Pain Mechanisms and Treatments (2 papers), Chemical Synthesis and Analysis (2 papers), Hypothalamic control of reproductive hormones (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (247 citations), Behavioral Neuroscience (46 citations), Endocrine and Autonomic Systems (70 citations), Endocrinology, Diabetes and Metabolism (111 citations) and Reproductive Medicine (43 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, Thomas Unger, Nguyen T. Buu, Otto Kuchel, R. Collu, Marc Cantin and Frank S. LaBella. Their work appears in journals such as Life Sciences, Biochemistry, Biochemical and Biophysical Research Communications, The Journal of Clinical Endocrinology & Metabolism and Science.
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.