Laureano D. Asico

4.7k citations
116 papers · 3.6k indexed · h-index 35

Laureano D. Asico

114 papers receiving 3.6k citations

Peers

Laureano D. Asico
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Cardiology and Cardiovascular Medicine 1.0k
  • Nephrology 296
  • Biochemistry 236
  • Molecular Biology 2.2k
Replace Masaya Tanno with:
Masaya Tanno Japan
Li‐Juan Min Japan
Volkmar Groß Germany
Yasushi Ishigaki Japan
Zsolt Bagi United States
Fumio Niimura Japan
U. Muscha Steckelings Germany
John P. Rapp United States
Paula Q. Barrett United States
Robert Gros Canada
Laureano D. Asico relative to Masaya Tanno Japan Masaya Tanno's profile →
Citations per field
00.5×3.1×
Masaya Tanno · 1×
Citations per year

Countries citing papers authored by Laureano D. Asico

Since Specialization
Citations

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

Fields of papers citing papers by Laureano D. Asico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laureano D. Asico. 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 Laureano D. Asico. The network helps show where Laureano D. Asico may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20220
3 202211
4 201834
5 201712
6 201728
7 201717
8 201719
9 201641
10 201227
11 201117
12 201110
13 201030
14 200734
15 200647
16 200523
17 2005101
18 20002
19 1998144
20 1996444

About Laureano D. Asico

Laureano D. Asico is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 116 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (45 papers), Ion Transport and Channel Regulation (37 papers), Renin-Angiotensin System Studies (34 papers), Receptor Mechanisms and Signaling (33 papers), Nitric Oxide and Endothelin Effects (27 papers), Sodium Intake and Health (8 papers), Electrolyte and hormonal disorders (8 papers) and Eicosanoids and Hypertension Pharmacology (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Cardiology and Cardiovascular Medicine (1.0k citations) and Nephrology (296 citations). Laureano D. Asico has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Pedro A. José, Gilbert M. Eisner, Robin A. Felder, Inés Armando, Chunyu Zeng, Crisanto Escano, John E. Jones, Ulrich Hopfer, Domenico Accili and Xiaoyan Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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