M. Atger

5.0k citations
55 papers · 4.0k · h-index 32

Impact in

Papers in

    • Estrogen and related hormone effects 21
    • Animal Genetics and Reproduction 4
    • Steroid Chemistry and Biochemistry 4
    • DNA and Nucleic Acid Chemistry 4

M. Atger

52 papers receiving 3.8k citations

Peers

M. Atger
Comparison fields: 5 of 107
  • Reproductive Medicine 845
  • Genetics 2.0k
  • Endocrinology, Diabetes and Metabolism 978
  • Immunology 722
  • Behavioral Neuroscience 114
Replace G. Shyamala with:
G. Shyamala United States
Ernest J. Peck United States
William T. Schrader United States
Hugues Loosfelt France
Clara M. Szego United States
Angelο C. Notides United States
Mara E. Lieberman United States
Steven K. Nordeen United States
Ján Mešter France
J. Dinny Graham Australia
M. Atger relative to G. Shyamala United States G. Shyamala's profile →
Citations per field
00.5×1.5×
G. Shyamala · 1×
Citations per year

Countries citing papers authored by M. Atger

Since Specialization
Citations

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

Fields of papers citing papers by M. Atger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989496
2 1987348
3 1973301
4 1976285
5 1989260
6 1990253
7 1973216
8 1986155
9 1988138
10 1970119
11 197392
12 197287
13 199582
14 198575
15 199365
16 198863
17 197663
18 198363
19 199062
20 197658

About M. Atger

M. Atger is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology and Reproductive Medicine, having authored 55 papers that have together received 4.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Reproductive System and Pregnancy (8 papers), Hypothalamic control of reproductive hormones (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Steroid Chemistry and Biochemistry (4 papers), Reproductive Physiology in Livestock (4 papers), Animal Genetics and Reproduction (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Reproductive Medicine (845 citations), Genetics (2.0k citations), Endocrinology, Diabetes and Metabolism (978 citations), Immunology (722 citations) and Behavioral Neuroscience (114 citations). M. Atger has collaborated with scholars based in France. Frequent co-authors include Edwin Milgröm, Micheline Misrahi, Étienne-Émile Baulieu, Hugues Loosfelt, Anne Guiochon‐Mantel, Sokhavuth Sar, E.E. Baulieu, H. Loosfelt, F. Fridlansky and André Jolivet. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Biochemical and Biophysical Research Communications, Biochemistry and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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