M.S. Moukhtar
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Oncology
- Co-authors
- G. MilhaudAmandine JullienneF. LasmolesMartine Fouchereau‐PéronYannick Arlot‐BonnemainsJ. TabouletJ.M. GulianaM. Cressent
- Topics
- Neuropeptides and Animal Physiology (32 papers)Hormonal Regulation and Hypertension (12 papers)Receptor Mechanisms and Signaling (12 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrinology, Diabetes and MetabolismReproductive Medicine
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
M.S. Moukhtar
83 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 571
- Cellular and Molecular Neuroscience 484
- Endocrinology, Diabetes and Metabolism 347
- Epidemiology 226
- Oncology 194
Countries citing papers authored by M.S. Moukhtar
This map shows the geographic impact of M.S. Moukhtar'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 M.S. Moukhtar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.S. Moukhtar more than expected).
Fields of papers citing papers by M.S. Moukhtar
This network shows the impact of papers produced by M.S. Moukhtar. 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 M.S. Moukhtar. The network helps show where M.S. Moukhtar may publish in the future.
Co-authorship network of co-authors of M.S. Moukhtar
This figure shows the co-authorship network connecting the top 25 collaborators of M.S. Moukhtar. A scholar is included among the top collaborators of M.S. Moukhtar 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 M.S. Moukhtar. M.S. Moukhtar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 3 | |
| 3 | 43 | |
| 4 | 37 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 12 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 24 | |
| 17 | 27 | |
| 18 | 8 | |
| 19 | Hétérogénéité de la calcitonine immunoréactive dans le plasma de sujets avec cancer médullaire | 2 |
| 20 | Sécrétion ectopique de thyrocalcitonine. | 1 |
About M.S. Moukhtar
M.S. Moukhtar is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (32 papers), Hormonal Regulation and Hypertension (12 papers) and Receptor Mechanisms and Signaling (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (484 citations), Endocrinology, Diabetes and Metabolism (347 citations) and Reproductive Medicine (96 citations). M.S. Moukhtar has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include G. Milhaud, Amandine Jullienne, F. Lasmoles, Martine Fouchereau‐Péron, Yannick Arlot‐Bonnemains, J. Taboulet, J.M. Guliana, M. Cressent, J Moullec and Claude Desplan. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet 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.