Clara Peña

1.6k citations
64 papers · 1.4k · h-index 21

Impact in

Papers in

Clara Peña

62 papers receiving 1.3k citations

Peers

Clara Peña
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 401
  • Cardiology and Cardiovascular Medicine 457
  • Pharmacology 196
  • Cellular and Molecular Neuroscience 202
  • Genetics 108
Replace Ian Morecroft with:
Ian Morecroft United Kingdom
Mohammad Fatehi Canada
Joyce Hwa United States
M. Samir Amer United States
Laura Rauser United States
A M Capponi Switzerland
Teruo Nakadate Japan
Peter Krippeit‐Drews Germany
Justine Renaud Canada
D L Severson Canada
Clara Peña relative to Ian Morecroft United Kingdom Ian Morecroft's profile →
Citations per field
00.5×3.6×
Ian Morecroft · 1×
Citations per year

Countries citing papers authored by Clara Peña

Since Specialization
Citations

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

Fields of papers citing papers by Clara Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990170
2 2007106
3 200478
4 200568
5 198360
6 198054
7 199952
8 201051
9 200048
10 197346
11 200541
12 199234
13 199832
14 199831
15 200330
16 201228
17 197827
18 198224
19 197022
20 200421

About Clara Peña

Clara Peña is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Pharmacology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (15 papers), Receptor Mechanisms and Signaling (12 papers), Hormonal Regulation and Hypertension (11 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Chemical Synthesis and Analysis (7 papers), Nicotinic Acetylcholine Receptors Study (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (401 citations), Cardiology and Cardiovascular Medicine (457 citations), Pharmacology (196 citations), Cellular and Molecular Neuroscience (202 citations) and Genetics (108 citations). Clara Peña has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Mariela M. Gironacci, Alejandro C. Paladini, Ariel H. Polizio, Georgina Rodrı́guez de Lores Arnaiz, Jorge H. Medina, Irène Yujnovsky, Edgardo Poskus, Charles E. Odya, Theodore L. Goodfriend and Luis E. Díaz. Their work appears in journals such as Regulatory Peptides, Neurochemical Research, Life Sciences, Biochemical Pharmacology and European Journal of Immunology.

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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