Yukihiro Chino

892 citations
15 papers · 722 indexed · 1 hit paper · h-index 10

Yukihiro Chino

15 papers receiving 702 citations

Hit Papers

SGLT2 inhibitor lowers serum uric acid through alteration...3182014202620182022100200300

Peers

Yukihiro Chino
Comparison fields: 5 of 81
  • Nephrology 169
  • Endocrinology, Diabetes and Metabolism 362
  • Rheumatology 101
  • Immunology 101
  • Surgery 203
Replace Mayuko Kato with:
Mayuko Kato Japan
M. Mengel Germany
Alla Mitrofanova United States
Toshie Saito United States
Jim Apostolopoulos Australia
Jody Ginsberg Canada
Ann Van Campenhout Belgium
María José Ramírez-Bajo Spain
Matthias A. Neusser Switzerland
Sabine Amsellem France
Yukihiro Chino relative to Mayuko Kato Japan Mayuko Kato's profile →
Citations per field
00.5×5.2×
Mayuko Kato · 1×
Citations per year

Countries citing papers authored by Yukihiro Chino

Since Specialization
Citations

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

Fields of papers citing papers by Yukihiro Chino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yukihiro Chino. 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 Yukihiro Chino. The network helps show where Yukihiro Chino may publish in the future.

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20232
2 202319
3 202114
4 201615
5 20163
6 201513
7
SGLT2 inhibitor lowers serum uric acid through alteration of uric acid transport activity in renal tubule by increased glycosuriabreakdown →
2014318
8 201019
9 2010127
10 200999
11 200311
12 20034
13 20016
14 19995
15 199467

About Yukihiro Chino

Yukihiro Chino is a scholar working on Nephrology, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 722 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Systemic Lupus Erythematosus Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Ocular Diseases and Behçet’s Syndrome (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). The work is most often cited by research in Nephrology (169 citations), Endocrinology, Diabetes and Metabolism (362 citations) and Rheumatology (101 citations). Yukihiro Chino has collaborated with scholars based in Japan, Mexico and United States. Frequent co-authors include Junichi Yamaguchi, Yasuhiro Nakai, Yoshishige Samukawa, Soichi Sakai, Takeo Nakanishi, Ikumi Tamai, Minoru Saito, Kyo Yamasu, Takashi Suyemitsu and Katsutoshi Ishihara. Their work appears in journals such as Journal of Medicinal Chemistry, Developmental Biology and Life Sciences.

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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