A Peñalva

1.5k citations
45 papers · 1.2k · h-index 19

Impact in

Papers in

A Peñalva

45 papers receiving 1.1k citations

Peers

A Peñalva
Comparison fields: 5 of 72
  • Endocrine and Autonomic Systems 332
  • Endocrinology, Diabetes and Metabolism 670
  • Behavioral Neuroscience 127
  • Reproductive Medicine 165
  • Physiology 254
Replace Johnny R. Porter with:
Johnny R. Porter United States
E. E. Müller Italy
Patricia M.K. Morley United States
F. Rohner‐Jeanrenaud Switzerland
Lynda M. Brown United States
SHOZO OHGO Japan
Michele Iovino Italy
Margaret S. Kreider United States
Andrea De Laurentiis Argentina
Takashi Sumitomo Japan
A Peñalva relative to Johnny R. Porter United States Johnny R. Porter's profile →
Citations per field
00.5×1.5×
Johnny R. Porter · 1×
Citations per year

Countries citing papers authored by A Peñalva

Since Specialization
Citations

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

Fields of papers citing papers by A Peñalva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993123
2 198296
3 199678
4 198471
5 199365
6 199365
7 198362
8 199558
9 198351
10 199039
11 199534
12 199634
13 199829
14 198227
15 200825
16 199325
17 199524
18 200022
19 198122
20 199818

About A Peñalva

A Peñalva is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (30 papers), Hypothalamic control of reproductive hormones (7 papers), Regulation of Appetite and Obesity (7 papers), Diet and metabolism studies (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Neuropeptides and Animal Physiology (5 papers), Stress Responses and Cortisol (4 papers) and Thyroid Disorders and Treatments (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (332 citations), Endocrinology, Diabetes and Metabolism (670 citations), Behavioral Neuroscience (127 citations), Reproductive Medicine (165 citations) and Physiology (254 citations). A Peñalva has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Carlos Diéguez, Felipe F. Casanueva, Fernando Cordido, Vittorio Locatelli, Felice Petraglia, Manuel Pombo, R. Peinó, Daniela Cocchi, E. E. Müller and Clara V. Álvarez. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Neuroendocrinology, Life Sciences, Clinical Nutrition and Journal of 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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