Laurence Daulhac
- Physiology top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Surgery
- Pharmacology top 5%
- Co-authors
- Alain EschalierChristophe MalletMonique EtienneAline Kowalski‐ChauvelCatherine SevaLucien PradayrolNicole VaysseChristine Courteix
- Topics
- Pain Mechanisms and Treatments (15 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)Pharmacological Receptor Mechanisms and Effects (5 papers)
- Partner nations
- FranceSwedenUnited States
In The Last Decade
Laurence Daulhac
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Physiology 488
- Molecular Biology 299
- Cellular and Molecular Neuroscience 270
- Surgery 185
- Pharmacology 184
Countries citing papers authored by Laurence Daulhac
This map shows the geographic impact of Laurence Daulhac'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 Laurence Daulhac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurence Daulhac more than expected).
Fields of papers citing papers by Laurence Daulhac
This network shows the impact of papers produced by Laurence Daulhac. 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 Laurence Daulhac. The network helps show where Laurence Daulhac may publish in the future.
Co-authorship network of co-authors of Laurence Daulhac
This figure shows the co-authorship network connecting the top 25 collaborators of Laurence Daulhac. A scholar is included among the top collaborators of Laurence Daulhac 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 Laurence Daulhac. Laurence Daulhac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 18 | |
| 4 | 41 | |
| 5 | 46 | |
| 6 | 13 | |
| 7 | 19 | |
| 8 | 35 | |
| 9 | 28 | |
| 10 | 52 | |
| 11 | 89 | |
| 12 | 23 | |
| 13 | 160 | |
| 14 | 29 | |
| 15 | 175 | |
| 16 | c-Jun NH(2)-terminal kinase pathway in growth-promoting effect of the G protein-coupled receptor cholecystokinin B receptor: a protein kinase C/Src-dependent-mechanism. | 18 |
| 17 | 36 | |
| 18 | 101 | |
| 19 | 33 | |
| 20 | 26 |
About Laurence Daulhac
Laurence Daulhac is a scholar working on Pharmacology, Physiology and Sensory Systems, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (15 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). The work is most often cited by research in Physiology (488 citations), Pharmacology (150 citations) and Anesthesiology and Pain Medicine (83 citations). Laurence Daulhac has collaborated with scholars based in France, Sweden and United States. Frequent co-authors include Alain Eschalier, Christophe Mallet, Monique Etienne, Aline Kowalski‐Chauvel, Catherine Seva, Lucien Pradayrol, Nicole Vaysse, Christine Courteix, J. Fialip and Eric Chapuy. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.
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.