Hélène Bachelard
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Francis RiouxSerge St‐PierreMarta SanturéFrançois MarceauAndré NadeauJean‐Claude MartelSheila M. GardinerSylvie F. Gauthier
- Topics
- Neuropeptides and Animal Physiology (17 papers)Receptor Mechanisms and Signaling (14 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of PhysiologyDiabetes
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Hélène Bachelard
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 492
- Cellular and Molecular Neuroscience 293
- Physiology 290
- Cardiology and Cardiovascular Medicine 219
- Endocrine and Autonomic Systems 148
Countries citing papers authored by Hélène Bachelard
This map shows the geographic impact of Hélène Bachelard'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 Bachelard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hélène Bachelard more than expected).
Fields of papers citing papers by Hélène Bachelard
This network shows the impact of papers produced by Hélène Bachelard. 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 Bachelard. The network helps show where Hélène Bachelard may publish in the future.
Co-authorship network of co-authors of Hélène Bachelard
This figure shows the co-authorship network connecting the top 25 collaborators of Hélène Bachelard. A scholar is included among the top collaborators of Hélène Bachelard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hélène Bachelard. Hélène Bachelard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 85 | |
| 2 | 13 | |
| 3 | 18 | |
| 4 | 13 | |
| 5 | 15 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 66 | |
| 11 | 19 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | 31 | |
| 15 | 27 | |
| 16 | 7 | |
| 17 | 40 | |
| 18 | 16 | |
| 19 | 13 | |
| 20 | 12 |
About Hélène Bachelard
Hélène Bachelard is a scholar working on Genetics, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (14 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (13 papers). The work is most often cited by research in Endocrine and Autonomic Systems (148 citations), Physiology (78 citations) and Cellular and Molecular Neuroscience (293 citations). Hélène Bachelard has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Francis Rioux, Serge St‐Pierre, Marta Santuré, François Marceau, André Nadeau, Jean‐Claude Martel, Sheila M. Gardiner, Sylvie F. Gauthier, Denis Roy and Xavier Charest‐Morin. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Diabetes.
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.