Michel Chrétien
- Molecular Biology top 0.2%
- Cellular and Molecular Neuroscience top 0.2%
- Surgery top 0.5%
- Cell Biology top 0.1%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Co-authors
- Nabil G. SeidahSuzanne BenjannetMajambu MbikayClaude LazureRobert DayAjoy BasakJosée HamelinM. Marcinkiewicz
- Topics
- Receptor Mechanisms and Signaling (98 papers)Neuropeptides and Animal Physiology (96 papers)Cellular transport and secretion (66 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Michel Chrétien
478 papers receiving 21.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 10.7k
- Cellular and Molecular Neuroscience 5.0k
- Surgery 4.6k
- Cell Biology 4.5k
- Endocrinology, Diabetes and Metabolism 2.7k
Countries citing papers authored by Michel Chrétien
This map shows the geographic impact of Michel Chrétien'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 Michel Chrétien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Chrétien more than expected).
Fields of papers citing papers by Michel Chrétien
This network shows the impact of papers produced by Michel Chrétien. 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 Michel Chrétien. The network helps show where Michel Chrétien may publish in the future.
Co-authorship network of co-authors of Michel Chrétien
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Chrétien. A scholar is included among the top collaborators of Michel Chrétien 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 Michel Chrétien. Michel Chrétien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 30 | |
| 3 | 19 | |
| 4 | 11 | |
| 5 | 13 | |
| 6 | 27 | |
| 7 | 110 | |
| 8 | 30 | |
| 9 | 90 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 23 | |
| 13 | 421 | |
| 14 | 18 | |
| 15 | 61 | |
| 16 | 46 | |
| 17 | Light and electron microscopic immunocytochemistry of β-endorphin/β-LPH-like immunoreactive neurons in the arcuate nucleus and surrounding areas of the rat hypothalamus | 9 |
| 18 | Structure and maturation process of pro-opiomelanocortin: a model for other neuropeptides. | 2 |
| 19 | 169 | |
| 20 | Modification of Cunningham's method for the detection of proteases in tissue sections. | 4 |
About Michel Chrétien
Michel Chrétien is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 483 papers that have together received 22.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (98 papers), Neuropeptides and Animal Physiology (96 papers) and Cellular transport and secretion (66 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.1k citations), Cell Biology (4.5k citations) and Cellular and Molecular Neuroscience (5.0k citations). Michel Chrétien has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Nabil G. Seidah, Suzanne Benjannet, Majambu Mbikay, Claude Lazure, Robert Day, Ajoy Basak, Josée Hamelin, M. Marcinkiewicz, Jadwiga Marcinkiewicz and Annik Prat. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.