Michel De Waard
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neuropharmacology Research 51
- Neuroscience and Neural Engineering 16
- Molecular Biology top 0.5%
- Ion channel regulation and function 157
- Nicotinic Acetylcholine Receptors Study 77
- RNA Interference and Gene Delivery 17
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- Cardiac electrophysiology and arrhythmias 44
- Sensory Systems top 1%
- Microbiology top 1%
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- Venomous Animal Envenomation and Studies 57
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- Cellular transport and secretion 14
- Co-authors
- Kevin P. CampbellChristina A. GurnettDenise S. WalkerJean‐Marc SabatierYasuo MoriDelphine BichetMichel RonjatHongyan Liu
- Journals
- Journal of Biological Chemistry (30 papers)Biochemical Journal (16 papers)European Journal of Neuroscience (13 papers)
- Partner nations
- FranceUnited StatesEgypt
In The Last Decade
Michel De Waard
286 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Cellular and Molecular Neuroscience 4.2k
- Molecular Biology 8.2k
- Cardiology and Cardiovascular Medicine 2.1k
- Sensory Systems 357
- Microbiology 441
Countries citing papers authored by Michel De Waard
This map shows the geographic impact of Michel De Waard'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 Michel De Waard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel De Waard more than expected).
Fields of papers citing papers by Michel De Waard
This network shows the impact of papers produced by Michel De Waard. 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 Michel De Waard. The network helps show where Michel De Waard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michel De Waard, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 39 | |
| 12 | 2022 | 26 | |
| 13 | 2022 | 30 | |
| 14 | 2022 | 13 | |
| 15 | 2020 | 7 | |
| 16 | 2011 | 27 | |
| 17 | 2011 | 103 | |
| 18 | 2010 | 59 | |
| 19 | 2003 | 6 | |
| 20 | 2002 | 27 |
About Michel De Waard
Michel De Waard is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 288 papers that have together received 10.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (157 papers), Nicotinic Acetylcholine Receptors Study (77 papers), Venomous Animal Envenomation and Studies (57 papers), Neuroscience and Neuropharmacology Research (51 papers), Cardiac electrophysiology and arrhythmias (44 papers), RNA Interference and Gene Delivery (17 papers), Neuroscience and Neural Engineering (16 papers) and Cellular transport and secretion (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.2k citations), Molecular Biology (8.2k citations) and Cardiology and Cardiovascular Medicine (2.1k citations). Michel De Waard has collaborated with scholars based in France, United States and Egypt. Frequent co-authors include Kevin P. Campbell, Christina A. Gurnett, Denise S. Walker, Jean‐Marc Sabatier, Yasuo Mori, Delphine Bichet, Michel Ronjat, Hongyan Liu, Victoria Scott and Ricardo Felix. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, European Journal of Neuroscience, Molecules and Biochemical and Biophysical Research Communications.
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.