Jean Mazella
- Cellular and Molecular Neuroscience top 0.2%
- Neuropeptides and Animal Physiology 76
- Neuroscience and Neuropharmacology Research 9
- Reproductive Medicine top 0.5%
- Hypothalamic control of reproductive hormones 14
- Molecular Biology top 2%
- Receptor Mechanisms and Signaling 72
- Chemical Synthesis and Analysis 12
- Ion channel regulation and function 8
- Developmental Neuroscience top 5%
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- Monoclonal and Polyclonal Antibodies Research 8
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- Antimicrobial Peptides and Activities 7
- Co-authors
- Jean‐Pierre VincentPatrick KitabgiAlain BeaudetPhilippe SarretJoëlle ChabryJ. BottoStéphane MartinThierry Coppola
- Journals
- Journal of Biological Chemistry (11 papers)Biochemical and Biophysical Research Communications (7 papers)Journal of Neuroscience (6 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Jean Mazella
107 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 100
- Cellular and Molecular Neuroscience 3.8k
- Reproductive Medicine 832
- Endocrine and Autonomic Systems 445
- Molecular Biology 3.8k
- Developmental Neuroscience 169
Countries citing papers authored by Jean Mazella
This map shows the geographic impact of Jean Mazella'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 Jean Mazella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Mazella more than expected).
Fields of papers citing papers by Jean Mazella
This network shows the impact of papers produced by Jean Mazella. 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 Jean Mazella. The network helps show where Jean Mazella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean Mazella, 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 | 2023 | 1 | |
| 2 | 2018 | 7 | |
| 3 | 2017 | 26 | |
| 4 | 2016 | 17 | |
| 5 | 2016 | 9 | |
| 6 | 2015 | 47 | |
| 7 | 2011 | 61 | |
| 8 | 2009 | 35 | |
| 9 | 2005 | 38 | |
| 10 | 2004 | 53 | |
| 11 | 2004 | 41 | |
| 12 | 2001 | 73 | |
| 13 | 1999 | 441 | |
| 14 | 1999 | 57 | |
| 15 | 1999 | 174 | |
| 16 | 1998 | 56 | |
| 17 | 1997 | 12 | |
| 18 | 1997 | 102 | |
| 19 | 1994 | 65 | |
| 20 | 1994 | 27 |
About Jean Mazella
Jean Mazella is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine and Molecular Biology, having authored 107 papers that have together received 5.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (76 papers), Receptor Mechanisms and Signaling (72 papers), Hypothalamic control of reproductive hormones (14 papers), Chemical Synthesis and Analysis (12 papers), Neuroscience and Neuropharmacology Research (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Ion channel regulation and function (8 papers) and Antimicrobial Peptides and Activities (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.8k citations), Reproductive Medicine (832 citations) and Endocrine and Autonomic Systems (445 citations). Jean Mazella has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Jean‐Pierre Vincent, Patrick Kitabgi, Jean‐Pierre Vincent, Alain Beaudet, Philippe Sarret, Joëlle Chabry, J. Botto, Stéphane Martin, Thierry Coppola and Valérie Navarro. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of Neuroscience, The International Journal of Biochemistry & Cell Biology and Peptides.
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.