C. Peña

723 citations
33 papers · 650 · h-index 13

Impact in

Papers in

C. Peña

32 papers receiving 616 citations

Peers

C. Peña
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 230
  • Endocrinology, Diabetes and Metabolism 125
  • Complementary and alternative medicine 46
  • Cardiology and Cardiovascular Medicine 108
  • Molecular Biology 285
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HP Rang Japan
Jeffrey A. Zidichouski Canada
Carmen Díaz-Ruiz Spain
J R Keddie United Kingdom
Sui‐Po Zhang United States
A.P.M. Yusof Malaysia
Takao Matsuo Japan
Masahiro Suno Japan
Rodney A. Velliquette United States
F. Huguet France
C. Peña relative to HP Rang Japan HP Rang's profile →
Citations per field
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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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199495
2 199478
3 198972
4 198666
5 197140
6 200729
7 199829
8 199927
9 198020
10 197920
11 200119
12 200418
13 200312
14 199112
15 200512
16 200210
17 197110
18 19919
19 19929
20 20019

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 33 papers that have together received 650 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Ion Transport and Channel Regulation (6 papers), Molecular Sensors and Ion Detection (6 papers), Chemical Synthesis and Analysis (3 papers), Photoreceptor and optogenetics research (3 papers), Diabetes and associated disorders (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (230 citations), Endocrinology, Diabetes and Metabolism (125 citations), Complementary and alternative medicine (46 citations), Cardiology and Cardiovascular Medicine (108 citations) and Molecular Biology (285 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, Edda Adler‐Graschinsky, María Amelia Enero, Analı́a Reinés and Cristina Wasowski. Their work appears in journals such as Neurochemical Research, Biochemical and Biophysical Research Communications, FEBS Letters, Molecular Neurobiology and Molecular 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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