Yoko Takeuchi

42 papers receiving 348 citations

Peers

Yoko Takeuchi
Comparison fields: 5 of 102
  • Industrial and Manufacturing Engineering 52
  • Endocrinology, Diabetes and Metabolism 58
  • Transportation 23
  • Microbiology 20
  • Pharmacology 43
Replace J.P. Grivet with:
J.P. Grivet France
Lihua Jin United States
Tao Jin China
H. Yanase Japan
Corinne Sebban‐Kreuzer France
Shruti Sharan India
Mei Zhu China
Jonathan Gledhill United Kingdom
Georg A. Sprenger Germany
Waraporn Tanthanuch Thailand
Yoko Takeuchi relative to J.P. Grivet France J.P. Grivet's profile →
Citations per field
00.5×4.8×
J.P. Grivet · 1×
Citations per year

Countries citing papers authored by Yoko Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200246
2 197130
3 200725
4 197923
5 201522
6 200920
7 200017
8 200615
9 196814
10 200412
11 199210
12 200710
13 197910
14 20068
15 20077
16 20076
17 19926
18 20196
19 19796
20 20215

About Yoko Takeuchi

Yoko Takeuchi is a scholar working on Industrial and Manufacturing Engineering, Molecular Biology, Transportation, Nuclear and High Energy Physics and Endocrinology, Diabetes and Metabolism, having authored 50 papers that have together received 361 indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (11 papers), Transportation Planning and Optimization (6 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Particle Detector Development and Performance (4 papers), Thyroid Disorders and Treatments (3 papers), Astrophysics and Cosmic Phenomena (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (52 citations), Endocrinology, Diabetes and Metabolism (58 citations), Transportation (23 citations), Microbiology (20 citations) and Pharmacology (43 citations). Yoko Takeuchi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include KANJI TSUCHIYA, Asao Murai, Toshiyuki Yamazaki, Yoshiharu Murata, Norio Τοmii, Samuel Refetoff, Roy E. Weiss, Yoshitaka Hayashi, Hisao Seo and Masatsune Kainosho. Their work appears in journals such as The Journal of Antibiotics, IEEJ Transactions on Industry Applications, Chemical and Pharmaceutical Bulletin, Polymer Journal and Analytical and Bioanalytical 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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