A. Slama

431 citations
22 papers · 332 · h-index 11

Impact in

Papers in

A. Slama

20 papers receiving 309 citations

Peers

A. Slama
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 130
  • Endocrine and Autonomic Systems 44
  • Endocrinology, Diabetes and Metabolism 84
  • Behavioral Neuroscience 18
  • Reproductive Medicine 32
Replace Christine Shu with:
Christine Shu France
Romano Puviani Canada
C. H. S. McIntosh Canada
Carla Brancia Italy
Jessie I. Luoma United States
Lionel Budry Canada
Bailey A. Kermath United States
Kazuya Ando Japan
Bhavaani Jayaram United States
Tülin Yanık Türkiye
A. Slama relative to Christine Shu France Christine Shu's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Slama

Since Specialization
Citations

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

Fields of papers citing papers by A. Slama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199560
2 199439
3 198132
4 199630
5 200230
6 198923
7 199118
8 199717
9 199716
10 199114
11 199112
12 20009
13 19906
14 20086
15 19865
16 19985
17 20084
18 19943
19 20082
20 20081

About A. Slama

A. Slama is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Molecular Biology, Epidemiology and Endocrine and Autonomic Systems, having authored 22 papers that have together received 332 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Neuroendocrine Tumor Research Advances (7 papers), Pituitary Gland Disorders and Treatments (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuropeptides and Animal Physiology (4 papers), Hypothalamic control of reproductive hormones (3 papers), Neuroendocrine regulation and behavior (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (130 citations), Endocrine and Autonomic Systems (44 citations), Endocrinology, Diabetes and Metabolism (84 citations), Behavioral Neuroscience (18 citations) and Reproductive Medicine (32 citations). A. Slama has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Jacques Epelbaum, Claude Kordon, Catherine Videau, Cécile Viollet, Eric Maubert, Pascal Dournaud, G. Tramu, A. Faivre‐Bauman, Catherine Loudes and Grégoire Prévost. Their work appears in journals such as Neuroendocrinology, Neuroscience, Regulatory Peptides, European Journal of Neuroscience and Dementia and Geriatric Cognitive Disorders.

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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