A. Slama

429 citations
21 papers · 348 indexed · h-index 12

Impact in

Papers in

A. Slama

21 papers receiving 333 citations

Peers

A. Slama
Comparison fields: 5 of 56
  • Endocrine and Autonomic Systems 58
  • Cellular and Molecular Neuroscience 130
  • Endocrinology, Diabetes and Metabolism 106
  • Behavioral Neuroscience 21
  • Reproductive Medicine 42
Replace Romano Puviani with:
Romano Puviani Canada
Christine Shu France
C. H. S. McIntosh Canada
Domenico Accili United States
Bertolt Seidel Germany
YOICHI KASHIO Japan
B. Lussier Canada
Shaojun Liu China
Osamu Murakami Japan
Miguel Ángel Vargas Mexico
A. Slama relative to Romano Puviani Canada Romano Puviani's profile →
Citations per field
00.5×
Romano Puviani · 1×
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-authorship network

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
#Work
1 200230
2 19984
3 199715
4 199716
5 19964
6 199629
7 199611
8 199558
9 19943
10 199436
11 19936
12 199223
13 199114
14 199117
15 199111
16 19906
17 198920
18 19898
19 19865
20 19834

About A. Slama

A. Slama is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Reproductive Medicine, having authored 21 papers that have together received 348 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Neuroendocrine Tumor Research Advances (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuropeptides and Animal Physiology (4 papers), Stress Responses and Cortisol (3 papers), Hypothalamic control of reproductive hormones (3 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (58 citations), Cellular and Molecular Neuroscience (130 citations), Endocrinology, Diabetes and Metabolism (106 citations), Behavioral Neuroscience (21 citations) and Reproductive Medicine (42 citations). A. Slama has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Jacques Epelbaum, Claude Kordon, Catherine Videau, Eric Maubert, Cécile Viollet, G. Tramu, Y. Lamour, Grégoire Prévost, A. Faivre‐Bauman and Catherine Loudes. Their work appears in journals such as Neuroendocrinology, Neuroscience, European Journal of Endocrinology, Neuropeptides and Regulatory Peptides.

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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