Juan Codina

14.3k citations
143 papers · 11.8k indexed · 5 hit papers · h-index 57

Juan Codina

143 papers receiving 11.4k citations

Hit Papers

Beta-arrestin2, a novel member of the arrestin/beta-arres...4701985202619982012250500750

Peers

Juan Codina
Comparison fields: 5 of 118
  • Cellular and Molecular Neuroscience 4.6k
  • Molecular Biology 9.8k
  • Physiology 437
  • Cell Biology 1.4k
  • Cardiology and Cardiovascular Medicine 1.4k
Replace Eva J. Neer with:
Eva J. Neer United States
Karl H. Jakobs Germany
Elliott M. Ross United States
Günter Schultz Germany
Susanna Cotecchia Switzerland
M Ui Japan
Sudha K. Shenoy United States
Richard T. Premont United States
Larry S. Barak United States
Kevin R. Lynch United States
Juan Codina relative to Eva J. Neer United States Eva J. Neer's profile →
Citations per field
00.5×1.6×
Eva J. Neer · 1×
Citations per year

Countries citing papers authored by Juan Codina

Since Specialization
Citations

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

Fields of papers citing papers by Juan Codina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201213
2 200627
3 20044
4 20046
5 20049
6 20022
7 199920
8 199950
9 19967
10 199215
11 199124
12 19911
13 199128
14 198918
15 198954
16 198813
17 198812
18 198819
19 1987154
20
液体クロマトグラフィー(LC)のための成分自動分別装置
197916

About Juan Codina

Juan Codina is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 143 papers that have together received 11.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (46 papers), Ion channel regulation and function (45 papers), Cardiac electrophysiology and arrhythmias (20 papers), Ion Transport and Channel Regulation (19 papers), Neuroscience and Neuropharmacology Research (16 papers), Cellular transport and secretion (16 papers), Drug Transport and Resistance Mechanisms (15 papers) and Protein Kinase Regulation and GTPase Signaling (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.6k citations), Molecular Biology (9.8k citations), Physiology (437 citations), Cell Biology (1.4k citations) and Cardiology and Cardiovascular Medicine (1.4k citations). Juan Codina has collaborated with scholars based in United States, Germany and Chile. Frequent co-authors include Lutz Birnbaumer, Arthur Brown, Robert J. Lefkowitz, Marc G. Caron, Atsuko Yatani, Jeffrey Benovic, John D. Hildebrandt, Martin J. Lohse, Ronald D. Sekura and Rafael Mattera. Their work appears in journals such as Journal of Biological Chemistry, Science, Proceedings of the National Academy of Sciences, FEBS Letters and American Journal of Physiology-Heart and Circulatory Physiology.

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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2026