Javier Moral‐Sanz

838 citations
24 papers · 635 · h-index 16

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Sphingolipid Metabolism and Signaling 4
    • Metabolism, Diabetes, and Cancer 3
    • Pulmonary Hypertension Research and Treatments 9
    • Chronic Obstructive Pulmonary Disease (COPD) Research 4

Javier Moral‐Sanz

24 papers receiving 625 citations

Peers

Javier Moral‐Sanz
Comparison fields: 5 of 87
  • Endocrine and Autonomic Systems 83
  • Pulmonary and Respiratory Medicine 278
  • Cardiology and Cardiovascular Medicine 175
  • Biochemistry 55
  • Physiology 177
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Citations per field
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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 200880
2 201467
3 200859
4 201043
5 201234
6 201334
7 201830
8 201629
9 200927
10 201126
11 201025
12 201125
13 201924
14 201322
15 201121
16 201621
17 201515
18 202212
19 201611
20 20149

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 635 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (9 papers), Nitric Oxide and Endothelin Effects (9 papers), Receptor Mechanisms and Signaling (4 papers), Cardiovascular Function and Risk Factors (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (83 citations), Pulmonary and Respiratory Medicine (278 citations), Cardiology and Cardiovascular Medicine (175 citations), Biochemistry (55 citations) and Physiology (177 citations). Javier Moral‐Sanz has collaborated with scholars based in Spain, United Kingdom and Netherlands. Frequent co-authors include Ángel Cogolludo, Francisco Pérez‐Vizcaíno, 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 American Journal of Physiology-Lung Cellular and Molecular Physiology, The Journal of Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Pharmacology and Experimental Therapeutics and British Journal of Pharmacology.

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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