P. Salers
- Molecular Biology
- Immunology
- Surgery
- Cellular and Molecular Neuroscience
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Stéphane RobertCatherine FarnarierYaël Berda‐HaddadLeïla ZekraouiGilles KaplanskiCharles A. DinarelloFrançoise Dignat‐GeorgeL’Houcine Ouafik
- Topics
- Pancreatic function and diabetes (12 papers)Neuropeptides and Animal Physiology (6 papers)Peptidase Inhibition and Analysis (4 papers)
- Journals
- Proceedings of the National Academy of SciencesBiochemical and Biophysical Research CommunicationsEndocrinology
- Partner nations
- FranceSlovakiaUnited States
In The Last Decade
P. Salers
19 papers receiving 366 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 200
- Immunology 109
- Surgery 81
- Cellular and Molecular Neuroscience 73
- Endocrinology, Diabetes and Metabolism 53
Countries citing papers authored by P. Salers
This map shows the geographic impact of P. Salers'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 P. Salers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Salers more than expected).
Fields of papers citing papers by P. Salers
This network shows the impact of papers produced by P. Salers. 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 P. Salers. The network helps show where P. Salers may publish in the future.
Co-authorship network of co-authors of P. Salers
This figure shows the co-authorship network connecting the top 25 collaborators of P. Salers. A scholar is included among the top collaborators of P. Salers 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 P. Salers. P. Salers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 187 | |
| 2 | 28 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 30 | |
| 14 | 24 | |
| 15 | Biosynthesis, metabolism and role of TRH during the perinatal period (minireview). | 1 |
| 16 | 15 | |
| 17 | 10 | |
| 18 | 8 | |
| 19 | 4 |
About P. Salers
P. Salers is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 19 papers that have together received 375 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Neuropeptides and Animal Physiology (6 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Immunology (109 citations), Cellular and Molecular Neuroscience (73 citations) and Endocrinology, Diabetes and Metabolism (53 citations). P. Salers has collaborated with scholars based in France, Slovakia and United States. Frequent co-authors include Stéphane Robert, Catherine Farnarier, Yaël Berda‐Haddad, Leïla Zekraoui, Gilles Kaplanski, Charles A. Dinarello, Françoise Dignat‐George, L’Houcine Ouafik, Charles Oliver and P. Giraud. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Endocrinology.
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.