M Michel-Béchet

988 citations
34 papers · 803 · h-index 17

Impact in

Papers in

M Michel-Béchet

32 papers receiving 718 citations

Peers

M Michel-Béchet
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 344
  • Genetics 154
  • Immunology 91
  • Immunology and Allergy 25
  • Neurology 33
Replace Marianne Chambard with:
Marianne Chambard France
Karen Pollock United States
Jean‐Pierre Gagner United States
H Sugino Japan
W. Putt United Kingdom
Alan Hart United Kingdom
Mordechai Bodner United States
Hideo Sugawa Japan
Marcel Vermey Netherlands
Nada Nekrep United States
M Michel-Béchet relative to Marianne Chambard France Marianne Chambard's profile →
Citations per field
00.5×
Marianne Chambard · 1×
Citations per year

Countries citing papers authored by M Michel-Béchet

Since Specialization
Citations

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

Fields of papers citing papers by M Michel-Béchet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Michel-Béchet. 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 Michel-Béchet. The network helps show where M Michel-Béchet may publish in the future.

Co-authors

The 25 scholars most cited alongside M Michel-Béchet, 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 M Michel-Béchet Line = papers co-authored together M Michel-Béchet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971127
2 1979123
3 198246
4 197744
5 197444
6 197742
7 197337
8 197735
9 198035
10 197034
11 197233
12
Electron microscopy of clear cell thyroid carcinoma.
197725
13
Development of the thyroid gland in the rat fetus in vivo. An ultrastructural and radioautographic study.
198021
14 197620
15 198719
16 196716
17 197216
18 198315
19 198512
20 198511

About M Michel-Béchet

M Michel-Béchet is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Physiology and Oncology, having authored 34 papers that have together received 803 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (10 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Digestive system and related health (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (344 citations), Genetics (154 citations), Immunology (91 citations), Immunology and Allergy (25 citations) and Neurology (33 citations). M Michel-Béchet has collaborated with scholars based in France, United States and Greece. Frequent co-authors include Guy Fayet, Serge Lissitzky, Lubomir J. Valenta, Lionel Rémy, Jeannine Charreire, Jean Mauchamp, Marianne Chambard, Alain Margotat, Farahe Maloof and Frederick R. Singer. Their work appears in journals such as Biology of the Cell, The Journal of Clinical Endocrinology & Metabolism, European Journal of Immunology, Biochemical and Biophysical Research Communications and Cancer.

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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