G. Milhaud
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 10%
- Epidemiology top 10%
- Co-authors
- M.S. MoukhtarJean-Paul AubertAmandine JullienneMartine Fouchereau‐PéronF. LasmolesYannick Arlot‐BonnemainsJ. TabouletA.A. Benson
- Topics
- Neuropeptides and Animal Physiology (40 papers)Receptor Mechanisms and Signaling (16 papers)Hypothalamic control of reproductive hormones (15 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
G. Milhaud
197 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 945
- Cellular and Molecular Neuroscience 633
- Endocrinology, Diabetes and Metabolism 583
- Oncology 401
- Epidemiology 301
Countries citing papers authored by G. Milhaud
This map shows the geographic impact of G. Milhaud'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 G. Milhaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Milhaud more than expected).
Fields of papers citing papers by G. Milhaud
This network shows the impact of papers produced by G. Milhaud. 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 G. Milhaud. The network helps show where G. Milhaud may publish in the future.
Co-authorship network of co-authors of G. Milhaud
This figure shows the co-authorship network connecting the top 25 collaborators of G. Milhaud. A scholar is included among the top collaborators of G. Milhaud 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 G. Milhaud. G. Milhaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 57 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 7 | |
| 14 | Sécrétion de calcitonine par des cancers testiculaires. | 1 |
| 15 | Hétérogénéité de la calcitonine immunoréactive dans le plasma de sujets avec cancer médullaire | 2 |
| 16 | Sécrétion ectopique de thyrocalcitonine. | 1 |
| 17 | Thyrocalcitonine et barrière placentaire chez le rat. | 3 |
| 18 | Thyrocalcitonine: effet de l'âge sur l'hypocalcémie et l'hypophosphatémie. | 1 |
| 19 | [HYPOPHYSECTOMY AND THYROCALCITONIN]. | 3 |
| 20 | A method of measuring the principal routes of calcium metabolism in man. | 4 |
About G. Milhaud
G. Milhaud is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 204 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (40 papers), Receptor Mechanisms and Signaling (16 papers) and Hypothalamic control of reproductive hormones (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (583 citations), Cellular and Molecular Neuroscience (633 citations) and Nephrology (139 citations). G. Milhaud has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include M.S. Moukhtar, Jean-Paul Aubert, Amandine Jullienne, Martine Fouchereau‐Péron, F. Lasmoles, Yannick Arlot‐Bonnemains, J. Taboulet, A.A. Benson, J.M. Guliana and M. Cressent. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.