Javier Moral‐Sanz

844 citations
24 papers · 675 · h-index 17

Impact in

Papers in

Javier Moral‐Sanz

24 papers receiving 656 citations

Peers

Javier Moral‐Sanz
Comparison fields: 5 of 85
  • Endocrine and Autonomic Systems 77
  • Pulmonary and Respiratory Medicine 256
  • Cardiology and Cardiovascular Medicine 148
  • Physiology 156
  • Biochemistry 46
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Citations per year

Countries citing papers authored by Javier Moral‐Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Javier Moral‐Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Moral‐Sanz. 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 Moral‐Sanz. The network helps show where Javier Moral‐Sanz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200889
2 201472
3 200863
4 201045
5 201236
6 201336
7 200934
8 201630
9 201830
10 201027
11 201126
12 201126
13 201925
14 201323
15 201122
16 201621
17 201516
18 202212
19 201611
20 201410

About Javier Moral‐Sanz

Javier Moral‐Sanz is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Physiology and Cancer Research, having authored 24 papers that have together received 675 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Cardiovascular Function and Risk Factors (3 papers), Receptor Mechanisms and Signaling (3 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (77 citations), Pulmonary and Respiratory Medicine (256 citations), Cardiology and Cardiovascular Medicine (148 citations), Physiology (156 citations) and Biochemistry (46 citations). Javier Moral‐Sanz has collaborated with scholars based in Spain, United Kingdom and Netherlands. Frequent co-authors include Francisco Pérez‐Vizcaíno, Ángel Cogolludo, Laura Moreno, Carmen Menéndez, Giovanna Frazziano, Eduardo Villamor, Enrique Moreno, Daniel Morales‐Cano, Bianca Barreira and A. Mark Evans. Their work appears in journals such as The Journal of Physiology, American Journal of Physiology-Lung Cellular and Molecular Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Molecular and Cellular Cardiology and Advances in experimental medicine and biology.

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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