M A Rivarola

520 citations
12 papers · 380 indexed · h-index 8

M A Rivarola

11 papers receiving 373 citations

Peers

M A Rivarola
Comparison fields: 5 of 71
  • Behavioral Neuroscience 114
  • Biological Psychiatry 28
  • Reproductive Medicine 83
  • Endocrinology, Diabetes and Metabolism 80
  • Social Psychology 89
Replace Carmen Pérez-Laso with:
Carmen Pérez-Laso Spain
Leslie R. Meek United States
Gillian L. Condé United Kingdom
John Philpott United States
Christopher L. Coe United States
Elizabeth Johnson United States
María Cruz Rodríguez del Cerro Spain
Harry N. Davis United States
Brigitte J. Todd United States
Francis Pau United States
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Citations per field
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Citations per year

Countries citing papers authored by M A Rivarola

Since Specialization
Citations

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

Fields of papers citing papers by M A Rivarola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside M A Rivarola, 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 A Rivarola Line = papers co-authored together M A Rivarola links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2014241
2 200119
3 20007
4
[Role of 3 beta hydroxysteroid dehydrogenase (3 beta HSD) in human adrenal androgen synthesis].
19992
5 199813
6 19979
7 199617
8 199233
9 19903
10
Paracrine role of Sertoli cells.
198617
11
Adrenocortical reserve in infants with severe marasmic malnutrition.
19771
12 197518

About M A Rivarola

M A Rivarola is a scholar working on Behavioral Neuroscience, Reproductive Medicine, Biological Psychiatry, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 12 papers that have together received 380 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (4 papers), Stress Responses and Cortisol (2 papers), Hypothalamic control of reproductive hormones (2 papers), Neuroendocrine regulation and behavior (2 papers), Ovarian function and disorders (2 papers), Sperm and Testicular Function (2 papers), Adrenal and Paraganglionic Tumors (2 papers) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Behavioral Neuroscience (114 citations), Biological Psychiatry (28 citations), Reproductive Medicine (83 citations), Endocrinology, Diabetes and Metabolism (80 citations) and Social Psychology (89 citations). M A Rivarola has collaborated with scholars based in Argentina, Chile and Canada. Frequent co-authors include Victor Viau, Hernán E. Lara, Donna Toufexis, Alicia Belgorosky, Eduardo Chaler, Mercedes Maceiras, C Bergadá, J.M. Saez, Nora Saraco and S Iorcansky. Their work appears in journals such as Hormone Research in Paediatrics, Clinical Chemistry, Life Sciences, Journal of Neuroendocrinology and The Journal of Clinical Endocrinology & Metabolism.

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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