Koh Takeuchi

7.2k citations
207 papers · 5.1k indexed · 1 hit paper · h-index 34

Koh Takeuchi

198 papers receiving 5.0k citations

Hit Papers

IAHS Decade on Predictions in Ungauged Basins (PUB), 2003...9762003202620102018250500750

Peers

Koh Takeuchi
Comparison fields: 5 of 172
  • Water Science and Technology 1.2k
  • Computational Mathematics 32
  • Global and Planetary Change 1.1k
  • Molecular Biology 2.2k
  • Environmental Engineering 411
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Hong Qian United States
Paul D. Wagner United States
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P. Hubert France
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Citations per field
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Hong Qian · 1×
Citations per year

Countries citing papers authored by Koh Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Koh Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20241
6 20231
7 20233
8 20211
9
Few-shot learning of neural networks from scratch by pseudo example optimization
20196
10 20194
11 201987
12 201810
13
Localized Lasso for High-Dimensional Regression
20178
14 201511
15
{Cross-domain recommendation without shared users or items by sharing latent vector distributions}
201510
16
Non-negative multiple matrix factorization
201317
17 20124
18 201094
19
LONG-TERM TRENDS OF ANNUAL TEMPERATURE AND PRECIPITATION TIME SERIES IN JAPAN
200219
20
349. Study on the Effect of IUD on Mouse Embryos
19851

About Koh Takeuchi

Koh Takeuchi is a scholar working on Computational Mathematics, Molecular Biology and Spectroscopy, having authored 207 papers that have together received 5.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (28 papers), Advanced NMR Techniques and Applications (16 papers), Cardiac Ischemia and Reperfusion (14 papers), Ion channel regulation and function (13 papers), Enzyme Structure and Function (13 papers), Congenital Heart Disease Studies (13 papers), Chemical Synthesis and Analysis (13 papers) and Computational Drug Discovery Methods (12 papers). The work is most often cited by research in Water Science and Technology (1.2k citations), Computational Mathematics (32 citations) and Global and Planetary Change (1.1k citations). Koh Takeuchi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Gerhard Wagner, Ichio Shimada, Hiroshi Ishidaira, Sven G. Hyberts, Zhiheng Xu, Hideo Takahashi, Stewart W. Franks, Murugesu Sivapalan, Xu Liang and S. Uhlenbrook. Their work appears in journals such as Journal of Biomolecular NMR, Journal of Biological Chemistry, Nature Communications, Circulation and Journal of the American Chemical Society.

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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