Tania Ferrer

1.3k citations
29 papers · 1.0k · h-index 14

Impact in

Papers in

Tania Ferrer

28 papers receiving 1.0k citations

Peers

Tania Ferrer
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 609
  • Molecular Biology 817
  • Cell Biology 189
  • Cellular and Molecular Neuroscience 210
  • Biophysics 25
Replace Elisa Bovo with:
Elisa Bovo United States
Carlos A. Valverde Argentina
Andrew J. Lokuta United States
Piotr Koprowski Poland
Julio Altamirano Mexico
Melvyn Lieberman United States
Rafael Mejía-Alvarez United States
Miguel X. van Bemmelen Switzerland
José Olivares France
Patricia Ñeco Spain
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Citations per field
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Citations per year

Countries citing papers authored by Tania Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by Tania Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008207
2 2007193
3 2011118
4 2003104
5 200693
6 200943
7 200129
8 201124
9 200922
10 201122
11 201719
12 201318
13 201216
14 201015
15 200613
16 201712
17 201112
18 201012
19 20119
20 20137

About Tania Ferrer

Tania Ferrer is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Pharmacology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (26 papers), Cardiac electrophysiology and arrhythmias (24 papers), Neuroscience and Neuropharmacology Research (8 papers), Cardiac Ischemia and Reperfusion (6 papers), Receptor Mechanisms and Signaling (5 papers), Neuroscience and Neural Engineering (3 papers), Congenital heart defects research (3 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (609 citations), Molecular Biology (817 citations), Cell Biology (189 citations), Cellular and Molecular Neuroscience (210 citations) and Biophysics (25 citations). Tania Ferrer has collaborated with scholars based in Mexico, United States and Canada. Frequent co-authors include Martin Tristani‐Firouzi, José A. Sánchez‐Chapula, C. Neil, Didier Y. R. Stainier, Jan Huisken, Rima Arnaout, Ricardo A. Navarro‐Polanco, Kenneth W. Spitzer, Michael C. Sanguinetti and Daniela Ponce‐Balbuena. Their work appears in journals such as European Journal of Pharmacology, Molecular Pharmacology, Biochemical Pharmacology, PLoS Biology and Journal of Biological Chemistry.

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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