Max‐Fernand Jayle

440 citations
27 papers · 407 · h-index 14

Impact in

Papers in

    • Hemoglobin structure and function 6
    • Biotin and Related Studies 2
    • Estrogen and related hormone effects 9

Max‐Fernand Jayle

25 papers receiving 314 citations

Peers

Max‐Fernand Jayle
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 133
  • Cell Biology 79
  • Behavioral Neuroscience 13
  • Pharmacology 28
  • Genetics 90
Replace W.H. Pearlman with:
W.H. Pearlman United States
F. J. Saunders United States
Manik Ganguly United States
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Citations per year

Countries citing papers authored by Max‐Fernand Jayle

Since Specialization
Citations

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

Fields of papers citing papers by Max‐Fernand Jayle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max‐Fernand Jayle. 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 Max‐Fernand Jayle. The network helps show where Max‐Fernand Jayle may publish in the future.

Co-authors

The 23 scholars most cited alongside Max‐Fernand Jayle, 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 Max‐Fernand Jayle Line = papers co-authored together Max‐Fernand Jayle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197475
2 196136
3 196529
4 197724
5 197724
6
Analyse des stéroïdes hormonaux
196123
7 195622
8 195720
9 197820
10 197719
11 197417
12 195915
13 197313
14 197513
15 197711
16 197510
17 19797
18 19756
19 19765
20 19744

About Max‐Fernand Jayle

Max‐Fernand Jayle is a scholar working on Cell Biology, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Health, Toxicology and Mutagenesis, having authored 27 papers that have together received 407 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Hemoglobin structure and function (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Hormonal and reproductive studies (4 papers), Analytical Chemistry and Chromatography (3 papers), Biotin and Related Studies (2 papers), Hormonal Regulation and Hypertension (2 papers) and Steroid Chemistry and Biochemistry (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (133 citations), Cell Biology (79 citations), Behavioral Neuroscience (13 citations), Pharmacology (28 citations) and Genetics (90 citations). Max‐Fernand Jayle has collaborated with scholars based in France, United States and Canada. Frequent co-authors include E.A. Nunez, G. Vallette, C. Benassayag, Étienne-Émile Baulieu, Lia Savu, Christian Lombart, H Bricaire, J Moretti, Nicole F. Bernard and N. Cittanova. Their work appears in journals such as Biochimie, The Journal of Clinical Endocrinology & Metabolism, Biochimica et Biophysica Acta (BBA) - General Subjects, Clinica Chimica Acta and Biochemical and Biophysical Research Communications.

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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