Hélène Barelli
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
-
- Neuropeptides and Animal Physiology
Papers in
-
- Neuropeptides and Animal Physiology 18
- Oncology 17
- Peptidase Inhibition and Analysis 17
- Co-authors
- Bruno Antonny (10 shared papers)Frédéric Checler (24 shared papers)Romain Gautier (6 shared papers)Stefano Vanni (3 shared papers)Jean‐Pierre Vincent (17 shared papers)Sophie Pagnotta (2 shared papers)H. Hirose (1 shared paper)Bruno Goud (3 shared papers)
- Journals
- Biochemical Journal (4 papers)European Journal of Biochemistry (3 papers)Peptides (2 papers)eLife (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Hélène Barelli
36 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 114
- Cell Biology 419
- Cellular and Molecular Neuroscience 464
- Biochemistry 181
- Physiology 446
- Molecular Biology 1.2k
Countries citing papers authored by Hélène Barelli
This map shows the geographic impact of Hélène Barelli'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 Hélène Barelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hélène Barelli more than expected).
Fields of papers citing papers by Hélène Barelli
This network shows the impact of papers produced by Hélène Barelli. 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 Hélène Barelli. The network helps show where Hélène Barelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Hélène Barelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 306 | |
| 2 | 2014 | 233 | |
| 3 | 1999 | 152 | |
| 4 | 1997 | 129 | |
| 5 | 2018 | 107 | |
| 6 | 2016 | 84 | |
| 7 | 2007 | 83 | |
| 8 | 2010 | 66 | |
| 9 | 1999 | 57 | |
| 10 | 2000 | 54 | |
| 11 | 1988 | 54 | |
| 12 | 2014 | 52 | |
| 13 | 2016 | 51 | |
| 14 | 1994 | 43 | |
| 15 | 1997 | 41 | |
| 16 | 1995 | 34 | |
| 17 | 1988 | 34 | |
| 18 | 1993 | 33 | |
| 19 | 1993 | 33 | |
| 20 | 1991 | 31 |
About Hélène Barelli
Hélène Barelli is a scholar working on Cellular and Molecular Neuroscience, Oncology, Cell Biology, Molecular Biology and Physiology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (18 papers), Peptidase Inhibition and Analysis (17 papers), Lipid Membrane Structure and Behavior (8 papers), Cellular transport and secretion (8 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Alzheimer's disease research and treatments (4 papers), Protease and Inhibitor Mechanisms (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cell Biology (419 citations), Cellular and Molecular Neuroscience (464 citations), Biochemistry (181 citations), Physiology (446 citations) and Molecular Biology (1.2k citations). Hélène Barelli has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Bruno Antonny, Frédéric Checler, Romain Gautier, Stefano Vanni, Jean‐Pierre Vincent, Sophie Pagnotta, H. Hirose, Bruno Goud, Thierry Ferreira and Sandra Lacas‐Gervais. Their work appears in journals such as Biochemical Journal, European Journal of Biochemistry, Peptides, eLife 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.