Toru Kikuchi

118 papers receiving 1.3k citations

Peers

Toru Kikuchi
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 283
  • General Economics, Econometrics and Finance 150
  • Obstetrics and Gynecology 109
  • Pediatrics, Perinatology and Child Health 183
  • Genetics 247
Replace Hyunseung Kang with:
Hyunseung Kang United States
Tuomas Peltonen Finland
Makoto Okamura Japan
Yi‐Chi Chen Taiwan
Hidenobu Okuda Japan
Monica R. McClain United States
Devinder Kumar United Kingdom
Matthew Cocks United Kingdom
Jin Wook Kim South Korea
R. S. Moreland United States
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Citations per field
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Citations per year

Countries citing papers authored by Toru Kikuchi

Since Specialization
Citations

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

Fields of papers citing papers by Toru Kikuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018111
2 199794
3 200374
4 201763
5 200561
6 200352
7 199635
8 200030
9 200429
10 200528
11 200527
12 200025
13 201223
14 201023
15 200822
16 199921
17 200319
18 200719
19 200919
20
Screening and treatment of childhood type 1 and type 2 diabetes mellitus in Japan.
201218

About Toru Kikuchi

Toru Kikuchi is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Endocrinology, Diabetes and Metabolism, Genetics and Strategy and Management, having authored 127 papers that have together received 1.4k indexed citations. Recurring topics across this work include Global trade and economics (33 papers), Merger and Competition Analysis (16 papers), Economic Growth and Productivity (16 papers), Regional Economics and Spatial Analysis (12 papers), Digital Platforms and Economics (11 papers), ICT Impact and Policies (11 papers), Diabetes Management and Research (10 papers) and Diabetes and associated disorders (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (283 citations), General Economics, Econometrics and Finance (150 citations), Obstetrics and Gynecology (109 citations), Pediatrics, Perinatology and Child Health (183 citations) and Genetics (247 citations). Toru Kikuchi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Keisuke Nagasaki, Makoto Uchiyama, Makoto Hiura, Makoto Uchiyama, Yohei Ogawa, Hideo Takahashi, Yukië Tanaka, Seigo Higashi, Tomohiro Kawasaki and Rintaro Mori. Their work appears in journals such as Hypertension Research, Review of International Economics, Acta Paediatrica, Diabetic Medicine and PLoS ONE.

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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