D. Bression

722 citations
24 papers · 634 · h-index 14

Impact in

Papers in

D. Bression

23 papers receiving 572 citations

Peers

D. Bression
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 439
  • Reproductive Medicine 87
  • Behavioral Neuroscience 25
  • Genetics 164
  • Cellular and Molecular Neuroscience 60
Replace Jaime Steinsapir with:
Jaime Steinsapir United States
S. Zoppi Italy
S. Ekberg Sweden
C. Malet France
Chiara Baldacci Italy
Bandana Chatterjee United States
Alexandra Dace France
Diana C. Márquez United States
Nacia Faure Canada
J. B. G. Bell United Kingdom
D. Bression relative to Jaime Steinsapir United States Jaime Steinsapir's profile →
Citations per field
00.5×3.2×
Jaime Steinsapir · 1×
Citations per year

Countries citing papers authored by D. Bression

Since Specialization
Citations

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

Fields of papers citing papers by D. Bression

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198691
2 197775
3 198061
4 197958
5 198055
6 197943
7 198243
8 198739
9 198430
10 198328
11 198719
12 198518
13 197916
14 198314
15 198913
16 198511
17 19839
18 19794
19 19902
20 19872

About D. Bression

D. Bression is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Epidemiology, having authored 24 papers that have together received 634 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (11 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Thyroid Disorders and Treatments (8 papers), Estrogen and related hormone effects (4 papers), Hormonal and reproductive studies (3 papers), Receptor Mechanisms and Signaling (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Hypothalamic control of reproductive hormones (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (439 citations), Reproductive Medicine (87 citations), Behavioral Neuroscience (25 citations), Genetics (164 citations) and Cellular and Molecular Neuroscience (60 citations). D. Bression has collaborated with scholars based in France, Sweden and United States. Frequent co-authors include F Peillon, M. Le Dafniet, A. Brandi, M. Snochowski, B. Högberg, Jan-Ακε Gustafsson, Patrick Pagésy, J Racadot, F. Cesselin and Marie-France Pichon. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology, Annals of the New York Academy of Sciences, Hormone and Metabolic Research and Molecular and Cellular Endocrinology.

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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