Jacques‐Antoine Haefliger
- Molecular Biology top 2%
- Surgery top 2%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Genetics top 5%
- Co-authors
- Paolo MedaGérard WaeberPascal NicodDavid L. PaulRoberto BruzzoneFlorian AlonsoFlorent AllagnatYok‐Ai Que
- Topics
- Connexins and lens biology (58 papers)Heat shock proteins research (17 papers)Pancreatic function and diabetes (17 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Jacques‐Antoine Haefliger
135 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 3.6k
- Surgery 1.1k
- Physiology 772
- Cardiology and Cardiovascular Medicine 622
- Genetics 593
Countries citing papers authored by Jacques‐Antoine Haefliger
This map shows the geographic impact of Jacques‐Antoine Haefliger'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 Jacques‐Antoine Haefliger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques‐Antoine Haefliger more than expected).
Fields of papers citing papers by Jacques‐Antoine Haefliger
This network shows the impact of papers produced by Jacques‐Antoine Haefliger. 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 Jacques‐Antoine Haefliger. The network helps show where Jacques‐Antoine Haefliger may publish in the future.
Co-authorship network of co-authors of Jacques‐Antoine Haefliger
This figure shows the co-authorship network connecting the top 25 collaborators of Jacques‐Antoine Haefliger. A scholar is included among the top collaborators of Jacques‐Antoine Haefliger 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 Jacques‐Antoine Haefliger. Jacques‐Antoine Haefliger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 21 | |
| 3 | 26 | |
| 4 | 8 | |
| 5 | 46 | |
| 6 | 25 | |
| 7 | 27 | |
| 8 | 30 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 30 | |
| 13 | 19 | |
| 14 | 7 | |
| 15 | 16 | |
| 16 | 211 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 28 | |
| 20 | 22 |
About Jacques‐Antoine Haefliger
Jacques‐Antoine Haefliger is a scholar working on Molecular Biology, Physiology and Endocrine and Autonomic Systems, having authored 137 papers that have together received 6.0k indexed citations. Recurring topics across this work include Connexins and lens biology (58 papers), Heat shock proteins research (17 papers) and Pancreatic function and diabetes (17 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Endocrine and Autonomic Systems (316 citations) and Physiology (154 citations). Jacques‐Antoine Haefliger has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Paolo Meda, Gérard Waeber, Pascal Nicod, David L. Paul, Roberto Bruzzone, Florian Alonso, Florent Allagnat, Yok‐Ai Que, Robert L. Gimlich and D. F. Condorelli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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.