Javier E. López

909 citations
37 papers · 666 · h-index 17

Impact in

Papers in

Javier E. López

35 papers receiving 653 citations

Peers

Javier E. López
Comparison fields: 5 of 102
  • Health Informatics 28
  • Cardiology and Cardiovascular Medicine 174
  • Biochemistry 58
  • Toxicology 15
  • Genetics 32
Replace Hiroaki Semba with:
Hiroaki Semba Japan
Michael T. C. Poon United Kingdom
Lijun Fu China
Yunbin Xiao China
Michael G. Rizzo United States
Bei Shi China
Fabien Lareyre France
Manabu Takamatsu Japan
Colin G. Miller United States
Mohammed Mamdani United States
Javier E. López relative to Hiroaki Semba Japan Hiroaki Semba's profile →
Citations per field
00.5×7.3×
Hiroaki Semba · 1×
Citations per year

Countries citing papers authored by Javier E. López

Since Specialization
Citations

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

Fields of papers citing papers by Javier E. López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier E. López. 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 Javier E. López. The network helps show where Javier E. López may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201379
2 201155
3 200450
4 201849
5 201547
6 201044
7 199838
8 201137
9 200935
10 201933
11 201625
12 200725
13 201919
14 202319
15 201817
16 201817
17 201517
18 201011
19 20239
20 20188

About Javier E. López

Javier E. López is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 666 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (4 papers), Cardiovascular Function and Risk Factors (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Medical Imaging Techniques and Applications (2 papers), Heart Failure Treatment and Management (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Health Informatics (28 citations), Cardiology and Cardiovascular Medicine (174 citations), Biochemistry (58 citations), Toxicology (15 citations) and Genetics (32 citations). Javier E. López has collaborated with scholars based in United States, Spain and Hong Kong. Frequent co-authors include Shadi Aminololama‐Shakeri, Nipavan Chiamvimonvat, Padmini Sirish, Leigh G. Griffiths, Conrad L. Epting, Harold S. Bernstein, Raffaele Di Gregorio, Federico Thomas, Carlin S. Long and Sonia L. Villegas. Their work appears in journals such as Circulation, Journal of the American College of Cardiology, Journal of Molecular and Cellular Cardiology, American Journal of Physiology-Heart and Circulatory Physiology and Biopreservation and Biobanking.

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.

Explore authors with similar magnitude of impact