Suzanne Benjannet
- Cell Biology top 0.5%
- Cellular transport and secretion 30
- Endoplasmic Reticulum Stress and Disease 13
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- Neuropeptides and Animal Physiology 23
- Surgery top 0.5%
- Lipoproteins and Cardiovascular Health 15
- Infectious Diseases top 1%
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- Receptor Mechanisms and Signaling 26
- Glycosylation and Glycoproteins Research 9
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- Growth Hormone and Insulin-like Growth Factors 11
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- Peptidase Inhibition and Analysis 10
- Co-authors
- Nabil G. SeidahMichel ChrétienJosée HamelinAjoy BasakClaude LazureJadwiga MarcinkiewiczÉric BergeronAnnik Prat
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Suzanne Benjannet
107 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cell Biology 2.0k
- Cellular and Molecular Neuroscience 1.7k
- Endocrine and Autonomic Systems 590
- Surgery 3.2k
- Infectious Diseases 1.3k
Countries citing papers authored by Suzanne Benjannet
This map shows the geographic impact of Suzanne Benjannet'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 Suzanne Benjannet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Benjannet more than expected).
Fields of papers citing papers by Suzanne Benjannet
This network shows the impact of papers produced by Suzanne Benjannet. 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 Suzanne Benjannet. The network helps show where Suzanne Benjannet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suzanne Benjannet, 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 | 2015 | 42 | |
| 2 | 2012 | 87 | |
| 3 | 2012 | 72 | |
| 4 | 2011 | 116 | |
| 5 | 2011 | 16 | |
| 6 | 2008 | 110 | |
| 7 | 2007 | 381 | |
| 8 | 2006 | 232 | |
| 9 | Chloroquine is a potent inhibitor of SARS coronavirus infection and spreadbreakdown → | 2005 | 1326 |
| 10 | 2005 | 24 | |
| 11 | NARC-1/PCSK9 and Its Natural Mutantsbreakdown → | 2004 | 532 |
| 12 | 2003 | 170 | |
| 13 | 2002 | 96 | |
| 14 | 2000 | 75 | |
| 15 | 1991 | 421 | |
| 16 | 1991 | 22 | |
| 17 | 1991 | 85 | |
| 18 | 1988 | 24 | |
| 19 | 1987 | 61 | |
| 20 | 1987 | 46 |
About Suzanne Benjannet
Suzanne Benjannet is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 107 papers that have together received 10.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (30 papers), Receptor Mechanisms and Signaling (26 papers), Neuropeptides and Animal Physiology (23 papers), Lipoproteins and Cardiovascular Health (15 papers), Endoplasmic Reticulum Stress and Disease (13 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Peptidase Inhibition and Analysis (10 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Cell Biology (2.0k citations), Cellular and Molecular Neuroscience (1.7k citations) and Endocrine and Autonomic Systems (590 citations). Suzanne Benjannet has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Nabil G. Seidah, Michel Chrétien, Josée Hamelin, Ajoy Basak, Claude Lazure, Jadwiga Marcinkiewicz, Éric Bergeron, Annik Prat, L. Alexandra Wickham and Martin J. Vincent.
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.