J. Taboulet

35 papers receiving 385 citations

Peers

J. Taboulet
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 176
  • Endocrinology, Diabetes and Metabolism 103
  • Orthopedics and Sports Medicine 46
  • Reproductive Medicine 32
  • Molecular Biology 190
Replace M. Cressent with:
M. Cressent France
E A Nunez United States
A.J. Notini Australia
Jean‐Michel Garel France
M Cesnjaj United States
A R McDonald United States
Yuki Kanda Japan
Mitsumori Kawaminami Japan
Kumiko Kaneshige United States
H. Isler Canada
J. Taboulet relative to M. Cressent France M. Cressent's profile →
Citations per field
00.5×5.8×
M. Cressent · 1×
Citations per year

Countries citing papers authored by J. Taboulet

Since Specialization
Citations

This map shows the geographic impact of J. Taboulet'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 J. Taboulet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Taboulet more than expected).

Fields of papers citing papers by J. Taboulet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Taboulet. 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 J. Taboulet. The network helps show where J. Taboulet may publish in the future.

Co-authors

The 25 scholars most cited alongside J. Taboulet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Taboulet Line = papers co-authored together J. Taboulet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199877
2 197477
3 199039
4 199118
5 198617
6 198315
7 197914
8 199112
9 199212
10 200411
11 198110
12 19939
13 20009
14 19909
15 19938
16 19848
17 19948
18 19936
19 19945
20
[Heterogeneity of immunoreactive calcitonin in the plasma of patients with bone marrow cancer].
19755

About J. Taboulet

J. Taboulet is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Reproductive Medicine, Oncology and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 406 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Hypothalamic control of reproductive hormones (7 papers), Receptor Mechanisms and Signaling (5 papers), Peptidase Inhibition and Analysis (4 papers), Signaling Pathways in Disease (2 papers), Animal Nutrition and Physiology (2 papers), Vitamin K Research Studies (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (176 citations), Endocrinology, Diabetes and Metabolism (103 citations), Orthopedics and Sports Medicine (46 citations), Reproductive Medicine (32 citations) and Molecular Biology (190 citations). J. Taboulet has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include G. Milhaud, M.S. Moukhtar, M. Cressent, Martine Fouchereau‐Péron, Amandine Jullienne, Yannick Arlot‐Bonnemains, F. Lasmoles, Stéphane Minvielle, N. Segond and Zhor Bouizar. Their work appears in journals such as General and Comparative Endocrinology, Biochemical and Biophysical Research Communications, Gene, Journal of Histochemistry & Cytochemistry and Journal of Cellular Biochemistry.

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.

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