M. Bergeron
Impact in
- Virology top 5%
- HIV Research and Treatment
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in
-
- Single-cell and spatial transcriptomics 5
- Advanced Biosensing Techniques and Applications 4
- Virology 7
- HIV Research and Treatment 7
- Co-authors
- Francis Mandy (11 shared papers)Fengju Bai (1 shared paper)Darryle D. Schoepp (3 shared papers)David L. Nelson (1 shared paper)Frank Mandy (8 shared papers)Stephen J. Greene (1 shared paper)Tao Ding (10 shared papers)Sylvie Faucher (6 shared papers)
- Journals
- Cytometry Part B Clinical Cytometry (7 papers)Cytometry (6 papers)PLoS ONE (4 papers)Neuroscience (3 papers)Neuropharmacology (2 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
M. Bergeron
43 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 111
- Virology 134
- Physiology 90
- Biological Psychiatry 43
- Developmental Neuroscience 64
- Behavioral Neuroscience 45
Countries citing papers authored by M. Bergeron
This map shows the geographic impact of M. Bergeron'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 M. Bergeron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bergeron more than expected).
Fields of papers citing papers by M. Bergeron
This network shows the impact of papers produced by M. Bergeron. 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 M. Bergeron. The network helps show where M. Bergeron may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Bergeron, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 151 | |
| 2 | 2003 | 118 | |
| 3 | 2003 | 94 | |
| 4 | 1992 | 47 | |
| 5 | 2013 | 43 | |
| 6 | 2002 | 42 | |
| 7 | 2002 | 40 | |
| 8 | 1988 | 40 | |
| 9 | 2008 | 38 | |
| 10 | 1997 | 35 | |
| 11 | 2008 | 31 | |
| 12 | 1995 | 31 | |
| 13 | 2003 | 27 | |
| 14 | 2005 | 26 | |
| 15 | 1999 | 24 | |
| 16 | Overview and application of suspension array technology. | 2001 | 23 |
| 17 | 2008 | 22 | |
| 18 | 2012 | 21 | |
| 19 | 2003 | 20 | |
| 20 | 2004 | 19 |
About M. Bergeron
M. Bergeron is a scholar working on Molecular Biology, Virology, Cellular and Molecular Neuroscience, Immunology and Pediatrics, Perinatology and Child Health, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Single-cell and spatial transcriptomics (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Advanced Biosensing Techniques and Applications (4 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Memory and Neural Mechanisms (3 papers) and Allergic Rhinitis and Sensitization (2 papers). The work is most often cited by research in Virology (134 citations), Physiology (90 citations), Biological Psychiatry (43 citations), Developmental Neuroscience (64 citations) and Behavioral Neuroscience (45 citations). M. Bergeron has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Francis Mandy, Fengju Bai, Darryle D. Schoepp, David L. Nelson, Frank Mandy, Stephen J. Greene, Tao Ding, Sylvie Faucher, A. Linden and Diether Recktenwald. Their work appears in journals such as Cytometry Part B Clinical Cytometry, Cytometry, PLoS ONE, Neuroscience and Neuropharmacology.
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.