Danièle Paupardin‐Tritsch
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Cognitive Neuroscience top 10%
- Pharmacology top 10%
- Physiology
- Co-authors
- H. M. GerschenfeldEve MarderLaurence CathalaHersch M. GerschenfeldConstance HammondPhilippe DéterrePierre VincentJoël Bockaert
- Topics
- Ion channel regulation and function (17 papers)Neurobiology and Insect Physiology Research (17 papers)Neuroscience and Neuropharmacology Research (12 papers)
- Partner nations
- FranceUnited StatesBurundi
In The Last Decade
Danièle Paupardin‐Tritsch
38 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 1.1k
- Cognitive Neuroscience 189
- Pharmacology 134
- Physiology 127
Countries citing papers authored by Danièle Paupardin‐Tritsch
This map shows the geographic impact of Danièle Paupardin‐Tritsch'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 Danièle Paupardin‐Tritsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danièle Paupardin‐Tritsch more than expected).
Fields of papers citing papers by Danièle Paupardin‐Tritsch
This network shows the impact of papers produced by Danièle Paupardin‐Tritsch. 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 Danièle Paupardin‐Tritsch. The network helps show where Danièle Paupardin‐Tritsch may publish in the future.
Co-authorship network of co-authors of Danièle Paupardin‐Tritsch
This figure shows the co-authorship network connecting the top 25 collaborators of Danièle Paupardin‐Tritsch. A scholar is included among the top collaborators of Danièle Paupardin‐Tritsch 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 Danièle Paupardin‐Tritsch. Danièle Paupardin‐Tritsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 18 | |
| 3 | 47 | |
| 4 | 60 | |
| 5 | 34 | |
| 6 | 28 | |
| 7 | 72 | |
| 8 | 59 | |
| 9 | 25 | |
| 10 | 41 | |
| 11 | 35 | |
| 12 | 36 | |
| 13 | 125 | |
| 14 | 15 | |
| 15 | 14 | |
| 16 | 91 | |
| 17 | 77 | |
| 18 | 39 | |
| 19 | 27 | |
| 20 | Release and uptake of 5-hydroxytryptamine (5-H-T) by a single 5-HT containing neurone [proceedings]. | 2 |
About Danièle Paupardin‐Tritsch
Danièle Paupardin‐Tritsch is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Molecular Biology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (17 papers), Neurobiology and Insect Physiology Research (17 papers) and Neuroscience and Neuropharmacology Research (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Molecular Biology (1.1k citations) and Sensory Systems (48 citations). Danièle Paupardin‐Tritsch has collaborated with scholars based in France, United States and Burundi. Frequent co-authors include H. M. Gerschenfeld, Eve Marder, Laurence Cathala, Hersch M. Gerschenfeld, Constance Hammond, Philippe Déterre, Pierre Vincent, Joël Bockaert, Paul Greengard and Angus C. Nairn. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.