J.M. Ferrero

2.1k citations
115 papers · 1.2k · h-index 19

Impact in

Papers in

J.M. Ferrero

103 papers receiving 1.2k citations

Peers

J.M. Ferrero
Comparison fields: 5 of 109
  • Cardiology and Cardiovascular Medicine 969
  • Cellular and Molecular Neuroscience 146
  • Molecular Biology 447
  • Biophysics 36
  • Emergency Medicine 47
Replace Takashi Ashihara with:
Takashi Ashihara Japan
Steven Girouard United States
Rafael J. Ramírez United States
E N Moore United States
Chris P. Bradley New Zealand
Urszula Siedlecka United Kingdom
Mark Potse Netherlands
P S Chen United States
Emilio Macchi Italy
N.D. Danieley United States
J.M. Ferrero relative to Takashi Ashihara Japan Takashi Ashihara's profile →
Citations per field
00.5×1.5×2.4×
Takashi Ashihara · 1×
Citations per year

Countries citing papers authored by J.M. Ferrero

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Ferrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Ferrero. 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 J.M. Ferrero. The network helps show where J.M. Ferrero may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996117
2 2015104
3 201087
4 201967
5 201265
6 201450
7 200340
8 200437
9 200233
10 201129
11 199929
12 200724
13 200524
14 201123
15 201521
16 201721
17 201420
18 200220
19 200919
20 201918

About J.M. Ferrero

J.M. Ferrero is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Electrical and Electronic Engineering, having authored 115 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (92 papers), Ion channel regulation and function (56 papers), Neuroscience and Neural Engineering (15 papers), Cardiac Ischemia and Reperfusion (15 papers), ECG Monitoring and Analysis (12 papers), Fuel Cells and Related Materials (10 papers), Cardiac Arrhythmias and Treatments (9 papers) and Cardiac Arrest and Resuscitation (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (969 citations), Cellular and Molecular Neuroscience (146 citations), Molecular Biology (447 citations), Biophysics (36 citations) and Emergency Medicine (47 citations). J.M. Ferrero has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Javier Sáiz, Beatriz Trénor, Nitish V. Thakor, Rafael Sebastián, Blanca Rodríguez, Lucía Romero, Juan F. Gómez, José F. Rodrı́guez, Elvio Heidenreich and M. Doblaré. Their work appears in journals such as PLoS ONE, Annals of Biomedical Engineering, IEEE Transactions on Biomedical Engineering, Frontiers in Physiology and EP Europace.

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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