Antonio E. Rusiñol

2.7k citations
29 papers · 2.3k indexed · h-index 22

Impact in

Papers in

    • Lipid metabolism and biosynthesis 5
    • Peroxisome Proliferator-Activated Receptors 9
    • Nuclear Structure and Function 6
    • DNA Repair Mechanisms 5
    • Lipid Membrane Structure and Behavior 4

Antonio E. Rusiñol

29 papers receiving 2.2k citations

Peers

Antonio E. Rusiñol
Comparison fields: 5 of 97
  • Biochemistry 217
  • Cell Biology 434
  • Molecular Biology 1.6k
  • Clinical Biochemistry 75
  • Physiology 282
Replace Ryunosuke Ohkawa with:
Ryunosuke Ohkawa Japan
Fawzia Bardag‐Gorce United States
Thomas Engel Germany
Elizabeth P. Newberry United States
James X. Rong United States
Charles M. Mansbach United States
Li‐Shin Huang United States
Marc Délepine France
Olivier Le Bacquer France
Antonio E. Rusiñol relative to Ryunosuke Ohkawa Japan Ryunosuke Ohkawa's profile →
Citations per field
00.5×1.5×
Ryunosuke Ohkawa · 1×
Citations per year

Countries citing papers authored by Antonio E. Rusiñol

Since Specialization
Citations

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

Fields of papers citing papers by Antonio E. Rusiñol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201132
2 201077
3 20099
4 20092
5 200837
6 20089
7 2007214
8 200791
9 200536
10 200465
11 200059
12 199726
13 1997168
14 199665
15 19965
16 199389
17 199390
18 199359
19 198910
20 19867

About Antonio E. Rusiñol

Antonio E. Rusiñol is a scholar working on Biochemistry, Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (9 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Nuclear Structure and Function (6 papers), Cholesterol and Lipid Metabolism (6 papers), DNA Repair Mechanisms (5 papers), Lipid metabolism and biosynthesis (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Biochemistry (217 citations), Cell Biology (434 citations), Molecular Biology (1.6k citations), Clinical Biochemistry (75 citations) and Physiology (282 citations). Antonio E. Rusiñol has collaborated with scholars based in United States, Canada and Argentina. Frequent co-authors include Michael Sinensky, Jean E. Vance, M. H. Chen, Zheng Cui, Yiyong Liu, Youjie Wang, Alok Agrawal, Henkjan J. Verkade, Douglas P. Thewke and Yue Zou. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, The FASEB Journal, Journal of Cell Science and Clinica Chimica Acta.

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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