Mario Bouchard
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials
Papers in ⓘ
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- Molecular spectroscopy and chirality 2
- Analytical Chemistry and Chromatography 2
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- Lipid Membrane Structure and Behavior 5
- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 2
- Co-authors
- Christopher M. Dobson (6 shared papers)Carol V. Robinson (4 shared papers)Ewan J. Nettleton (3 shared papers)José L. Jiménez (1 shared paper)Helen R. Saibil (1 shared paper)Jesús Zurdo (2 shared papers)Michéle Auger (5 shared papers)Paula Tito (2 shared papers)
- Journals
- Biophysical Journal (4 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (2 papers)FEBS Letters (2 papers)Protein Science (2 papers)Canadian Journal of Chemistry (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Mario Bouchard
16 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Physiology 840
- Biomaterials 337
- Molecular Biology 1.6k
- Pharmacology 313
- Biotechnology 124
Countries citing papers authored by Mario Bouchard
This map shows the geographic impact of Mario Bouchard'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 Mario Bouchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Bouchard more than expected).
Fields of papers citing papers by Mario Bouchard
This network shows the impact of papers produced by Mario Bouchard. 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 Mario Bouchard. The network helps show where Mario Bouchard may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Bouchard, 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 | The protofilament structure of insulin amyloid fibrils Hit paper breakdown → | 2002 | 714 |
| 2 | 2000 | 420 | |
| 3 | 2005 | 286 | |
| 4 | 2000 | 235 | |
| 5 | 2001 | 107 | |
| 6 | 2002 | 83 | |
| 7 | 2006 | 80 | |
| 8 | 1993 | 49 | |
| 9 | 1995 | 36 | |
| 10 | 1998 | 28 | |
| 11 | 2000 | 25 | |
| 12 | 2003 | 14 | |
| 13 | 1996 | 8 | |
| 14 | 1998 | 6 | |
| 15 | 2004 | 5 | |
| 16 | 1987 | 4 |
About Mario Bouchard
Mario Bouchard is a scholar working on Spectroscopy, Molecular Biology, Biophysics, Immunology and Allergy and Clinical Biochemistry, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (5 papers), Protein Structure and Dynamics (4 papers), Alzheimer's disease research and treatments (3 papers), Molecular spectroscopy and chirality (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Analytical Chemistry and Chromatography (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Physiology (840 citations), Biomaterials (337 citations), Molecular Biology (1.6k citations), Pharmacology (313 citations) and Biotechnology (124 citations). Mario Bouchard has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Christopher M. Dobson, Carol V. Robinson, Ewan J. Nettleton, José L. Jiménez, Helen R. Saibil, Jesús Zurdo, Michéle Auger, Paula Tito, Margaret Sunde and Lorna J. Smith. Their work appears in journals such as Biophysical Journal, Biochimica et Biophysica Acta (BBA) - Biomembranes, FEBS Letters, Protein Science and Canadian Journal of Chemistry.
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.