C. Peña

724 citations
34 papers · 628 indexed · h-index 12

Impact in

Papers in

C. Peña

33 papers receiving 601 citations

Peers

C. Peña
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 223
  • Endocrinology, Diabetes and Metabolism 127
  • Complementary and alternative medicine 48
  • Cardiology and Cardiovascular Medicine 106
  • Molecular Biology 281
Replace Yang‐Hyeok Jo with:
Yang‐Hyeok Jo South Korea
J R Keddie United Kingdom
Carmen Díaz-Ruiz Spain
Mitsuhiro Makino Japan
Nicole Schmidt Germany
Takao Matsuo Japan
Clara Peña Argentina
F. Huguet France
Masahiro Suno Japan
Hui-Fang Li Taiwan
C. Peña relative to Yang‐Hyeok Jo South Korea Yang‐Hyeok Jo's profile →
Citations per field
00.5×1.5×
Yang‐Hyeok Jo · 1×
Citations per year

Countries citing papers authored by C. Peña

Since Specialization
Citations

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

Fields of papers citing papers by C. Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199492
2 199476
3 198970
4 198660
5 197138
6 200729
7 199828
8 199927
9 198020
10 200119
11 200417
12 197917
13 200511
14 199111
15 200311
16 197110
17 200210
18 19919
19 20018
20 20057

About C. Peña

C. Peña is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Spectroscopy and Genetics, having authored 34 papers that have together received 628 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Molecular Sensors and Ion Detection (6 papers), Ion Transport and Channel Regulation (6 papers), Chemical Synthesis and Analysis (3 papers), Photoreceptor and optogenetics research (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (223 citations), Endocrinology, Diabetes and Metabolism (127 citations), Complementary and alternative medicine (48 citations), Cardiology and Cardiovascular Medicine (106 citations) and Molecular Biology (281 citations). C. Peña has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Antonella Paladini, Jorge H. Medina, C. Wolfman, M. Levi de Stein, Mariela M. Gironacci, Georgina Rodrı́guez de Lores Arnaiz, María Amelia Enero, Edda Adler‐Graschinsky, Analı́a Reinés and Cristina Wasowski. Their work appears in journals such as Neurochemical Research, Biochemical and Biophysical Research Communications, FEBS Letters, Neuroscience and International Journal of Developmental Neuroscience.

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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