Kimito Funatsu

8.3k total citations · 1 hit paper
229 papers, 4.3k citations indexed

About

Kimito Funatsu is a scholar working on Computational Theory and Mathematics, Spectroscopy and Control and Systems Engineering. According to data from OpenAlex, Kimito Funatsu has authored 229 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computational Theory and Mathematics, 63 papers in Spectroscopy and 62 papers in Control and Systems Engineering. Recurrent topics in Kimito Funatsu's work include Computational Drug Discovery Methods (103 papers), Analytical Chemistry and Chromatography (60 papers) and Fault Detection and Control Systems (58 papers). Kimito Funatsu is often cited by papers focused on Computational Drug Discovery Methods (103 papers), Analytical Chemistry and Chromatography (60 papers) and Fault Detection and Control Systems (58 papers). Kimito Funatsu collaborates with scholars based in Japan, United States and Germany. Kimito Funatsu's co-authors include Hiromasa Kaneko, Kiyoshi Hasegawa, Masamoto Arakawa, Tomoyuki Miyao, Shin‐ichi Sasaki, Yoshikatsu Miyashita, Hiroko Satoh, Petra Schneider, Gisbert Schneider and Kenichi Tanaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Nature Reviews Drug Discovery.

In The Last Decade

Kimito Funatsu

219 papers receiving 4.1k citations

Hit Papers

Rethinking drug design in the artificial intelligence era 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rethinking drug design in the artificial intelligence era
    2019 496 citations Kimito Funatsu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kimito Funatsu Japan 36 1.6k 1.2k 1.1k 830 695 229 4.3k
Riccardo Leardi Italy 37 844 0.5× 433 0.4× 1.3k 1.2× 3.2k 3.8× 345 0.5× 126 7.1k
Jure Zupan Slovenia 36 1.3k 0.8× 243 0.2× 1.5k 1.3× 1.4k 1.7× 391 0.6× 140 5.2k
Wolfgang Marquardt Germany 54 859 0.5× 5.3k 4.5× 1.1k 1.0× 369 0.4× 1.1k 1.6× 417 11.2k
Ruisheng Zhang China 36 1.2k 0.7× 108 0.1× 784 0.7× 391 0.5× 507 0.7× 246 4.0k
Wensheng Cai China 45 521 0.3× 247 0.2× 2.0k 1.8× 2.8k 3.4× 1.5k 2.1× 343 7.8k
David J. Livingstone United Kingdom 35 2.0k 1.2× 124 0.1× 1.4k 1.2× 494 0.6× 622 0.9× 118 5.2k
Robert D. Braun United States 39 695 0.4× 303 0.3× 456 0.4× 136 0.2× 433 0.6× 294 7.3k
Paul I. Barton United States 50 1.5k 0.9× 3.8k 3.2× 983 0.9× 93 0.1× 1.1k 1.6× 257 8.1k
Davide Ballabio Italy 35 1.3k 0.8× 135 0.1× 1.3k 1.1× 1.6k 1.9× 353 0.5× 122 5.3k
Dominique Bonvin Switzerland 40 405 0.2× 4.7k 3.9× 532 0.5× 322 0.4× 357 0.5× 326 6.0k

Countries citing papers authored by Kimito Funatsu

Since Specialization
Citations

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

Fields of papers citing papers by Kimito Funatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimito Funatsu

This figure shows the co-authorship network connecting the top 25 collaborators of Kimito Funatsu. A scholar is included among the top collaborators of Kimito Funatsu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kimito Funatsu. Kimito Funatsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Takeda, Sakura, Mutsunori Uenuma, Tomoyuki Miyao, et al.. (2025). Interfacial negative charges in PECVD-SiO2/Si films: Correlating Si 2p XPS with electrical properties to construct a physically consistent model. Journal of Applied Physics. 138(17).
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Okuyama, Michihiro, et al.. (2022). A data-driven scheme to search for alternative composite materials. SHILAP Revista de lepidopterología. 2(1). 106–118. 1 indexed citations
4.
Nonoguchi, Yoshiyuki, et al.. (2022). Governing Factors for Carbon Nanotube Dispersion in Organic Solvents Estimated by Machine Learning. Advanced Materials Interfaces. 9(7). 17 indexed citations
5.
Marcou, Gilles, et al.. (2020). Application of the mol2vec Technology to Large‐size Data Visualization and Analysis. Molecular Informatics. 39(6). e1900170–e1900170. 7 indexed citations
6.
Funatsu, Kimito, et al.. (2014). Development of a Novel Spectra Analysis Method to Construct Accurate NIR Models. 15(0). 1–9. 4 indexed citations
7.
Okada, Takeshi, Hiromasa Kaneko, & Kimito Funatsu. (2012). Development of a model selection method based on the reliability of a soft sensor model. SHILAP Revista de lepidopterología. 6 indexed citations
8.
Hasegawa, Kiyoshi & Kimito Funatsu. (2012). Powerful Integrative Tool Combining Structure Generator and Chemical Space Visualization. 13. 1–9. 1 indexed citations
9.
Kim, Taehyung, et al.. (2012). Construction of Statistical Models for Predicting the Presence of Azeotropy at Any Pressure in Separation Processes. Journal of Computer Chemistry Japan. 11(2). 112–120. 1 indexed citations
10.
Kaneko, Hiromasa & Kimito Funatsu. (2011). Improvement and estimation of prediction accuracy of soft sensor models based on time difference. 115–124. 3 indexed citations
11.
Arakawa, Masamoto, et al.. (2011). Analysis of Quality in Fruit by NIR Spectrum. 12. 37–46. 3 indexed citations
12.
Arakawa, Masamoto, et al.. (2009). Prediction Models for Soil Properties Using VIS-NIR Spectroscopy. 10. 53–62. 9 indexed citations
13.
Arakawa, Masamoto, et al.. (2009). Development of Predictive Models and Reverse Analysis Method for Polymer Design. 10. 30–37. 1 indexed citations
14.
Funatsu, Kimito, et al.. (2007). Structure Optimization of Gas Separation Membrane Module. 8. 92–102.
15.
Arakawa, Masamoto & Kimito Funatsu. (2006). Development of the Total System ToMoCo for Molecular Design. Journal of Computer Chemistry Japan. 5(2). 119–128. 1 indexed citations
16.
Funatsu, Kimito, et al.. (2005). Development of a Simulation System for Membrane Modular Design. Journal of Computer Chemistry Japan. 4(2). 49–58. 2 indexed citations
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Hasegawa, Kiyoshi, et al.. (2002). Data Mining of Structure-Activity Data Through Genetic Algorithm and Counter Propagation Neural Network. 3. 90–98. 1 indexed citations
20.
Satoh, Hiroko, et al.. (1998). Development of a Program for Construction of a Starting Material Library for AIPHOS.. 4(3). 101–111. 3 indexed citations

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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