Koutaro Yokote

21.6k citations
337 papers · 12.1k indexed · 4 hit papers · h-index 47

Koutaro Yokote

320 papers receiving 11.8k citations

Hit Papers

Weight regain and ca...515201020262015202050010001.5k2.0k

Peers

Koutaro Yokote
Comparison fields: 5 of 150
  • Endocrinology, Diabetes and Metabolism 3.6k
  • Cancer Research 1.4k
  • Pharmacology 1.6k
  • Nephrology 493
  • Physiology 1.8k
Replace Gian Paolo Fadini with:
Gian Paolo Fadini Italy
Rafael Simó Spain
Willa A. Hsueh United States
Muredach P. Reilly United States
Jitsuo Higaki Japan
Douglas E. Vaughan United States
Laurence Tiret France
Tsutomu Hirano Japan
Koichi Node Japan
Kazuyuki Tobe Japan
Koutaro Yokote relative to Gian Paolo Fadini Italy Gian Paolo Fadini's profile →
Citations per field
00.5×3.0×
Gian Paolo Fadini · 1×
Citations per year

Countries citing papers authored by Koutaro Yokote

Since Specialization
Citations

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

Fields of papers citing papers by Koutaro Yokote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20240
4 20241
5 20240
6 20241
7 20244
8 20243
9 20239
10 202312
11 20231
12 20237
13 2022108
14 20217
15 201912
16 2016206
17 201623
18 20156
19 2013137
20 201274

About Koutaro Yokote

Koutaro Yokote is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Nephrology, having authored 337 papers that have together received 12.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (61 papers), Diabetes Treatment and Management (37 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (36 papers), Metabolism, Diabetes, and Cancer (23 papers), Cancer, Lipids, and Metabolism (20 papers), DNA Repair Mechanisms (20 papers), Peroxisome Proliferator-Activated Receptors (18 papers) and Nuclear Structure and Function (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.6k citations), Cancer Research (1.4k citations) and Pharmacology (1.6k citations). Koutaro Yokote has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Seijiro Mori, Luc F. Van Gaal, Rachel L. Batterham, Barbara McGowan, Robert F. Kushner, John Wilding, Julio Rosenstock, Sean Wharton, Melanie J. Davies and Ildiko Lingvay. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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