Hiroshi Shimizu

8.7k total citations
302 papers, 6.4k citations indexed

About

Hiroshi Shimizu is a scholar working on Molecular Biology, Biomedical Engineering and Food Science. According to data from OpenAlex, Hiroshi Shimizu has authored 302 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 202 papers in Molecular Biology, 50 papers in Biomedical Engineering and 37 papers in Food Science. Recurrent topics in Hiroshi Shimizu's work include Microbial Metabolic Engineering and Bioproduction (123 papers), Biofuel production and bioconversion (41 papers) and Fungal and yeast genetics research (39 papers). Hiroshi Shimizu is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (123 papers), Biofuel production and bioconversion (41 papers) and Fungal and yeast genetics research (39 papers). Hiroshi Shimizu collaborates with scholars based in Japan, United States and Thailand. Hiroshi Shimizu's co-authors include Takashi Hirasawa, Chikara Furusawa, Suteaki Shioya, Yoshihiro Toya, Katsunori Yoshikawa, Fumio Matsuda, Keisuke Nagahisa, S. Shioya, Benjamas Cheirsilp and C. Y. She and has published in prestigious journals such as Bioinformatics, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Hiroshi Shimizu

291 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Shimizu Japan 43 4.4k 1.5k 935 522 476 302 6.4k
Yin Li China 54 4.8k 1.1× 2.5k 1.6× 1.0k 1.1× 854 1.6× 368 0.8× 308 8.5k
Yi Wang China 48 3.5k 0.8× 2.1k 1.4× 453 0.5× 552 1.1× 754 1.6× 387 8.7k
Bei Wang China 42 2.5k 0.6× 1.7k 1.1× 852 0.9× 2.1k 4.1× 256 0.5× 272 8.7k
Aindrila Mukhopadhyay United States 48 6.0k 1.4× 2.8k 1.8× 205 0.2× 437 0.8× 762 1.6× 153 8.0k
Wenli Wang China 47 2.5k 0.6× 1.0k 0.7× 542 0.6× 101 0.2× 164 0.3× 291 6.6k
Yu Wang China 47 4.5k 1.0× 1.4k 0.9× 300 0.3× 279 0.5× 669 1.4× 349 6.8k
Kazuyuki Shimizu Japan 45 4.7k 1.1× 1.4k 0.9× 226 0.2× 603 1.2× 1.1k 2.2× 176 5.9k
David E. Block United States 34 4.0k 0.9× 1.6k 1.1× 1.3k 1.4× 158 0.3× 810 1.7× 108 7.2k
Mariët J. van der Werf Netherlands 33 3.9k 0.9× 961 0.6× 465 0.5× 79 0.2× 347 0.7× 65 5.4k
Chunsheng Li China 42 1.5k 0.4× 867 0.6× 981 1.0× 191 0.4× 146 0.3× 247 5.4k

Countries citing papers authored by Hiroshi Shimizu

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Shimizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Shimizu

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Shimizu. A scholar is included among the top collaborators of Hiroshi Shimizu 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 Hiroshi Shimizu. Hiroshi Shimizu 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.
Mori, Sotaro, et al.. (2025). A method for predicting enzyme substrate specificity residues using homologous sequence information. Protein Science. 34(10). e70318–e70318.
2.
Matsuda, Fumio, et al.. (2021). mfapy: An open-source Python package for 13C-based metabolic flux analysis. Metabolic Engineering Communications. 13. e00177–e00177. 16 indexed citations
3.
Liao, James C., et al.. (2020). Novel allosteric inhibition of phosphoribulokinase identified by ensemble kinetic modeling of Synechocystis sp. PCC 6803 metabolism. Metabolic Engineering Communications. 11. e00153–e00153. 11 indexed citations
4.
Liao, James C., et al.. (2019). Transomics data-driven, ensemble kinetic modeling for system-level understanding and engineering of the cyanobacteria central metabolism. Metabolic Engineering. 52. 273–283. 30 indexed citations
5.
Ueda, Kentaro, et al.. (2018). Metabolic flux of the oxidative pentose phosphate pathway under low light conditions in Synechocystis sp. PCC 6803. Journal of Bioscience and Bioengineering. 126(1). 38–43. 19 indexed citations
6.
Yoshikawa, Katsunori, et al.. (2016). Combinatorial deletions of glgC and phaCE enhance ethanol production in Synechocystis sp. PCC 6803. Journal of Biotechnology. 239. 13–19. 47 indexed citations
7.
Horinouchi, Takaaki, et al.. (2014). Development of an Automated Culture System for Laboratory Evolution. SLAS TECHNOLOGY. 19(5). 478–482. 33 indexed citations
8.
Komatsu, Takashi, Ichiro Hatayama, Hideo Arai, et al.. (2012). Development of an Electric Vehicle "SIM-WIL". 66(9). 84–88. 3 indexed citations
9.
Matsuda, Fumio, Chikara Furusawa, Takashi Kondo, et al.. (2011). Engineering strategy of yeast metabolism for higher alcohol production. Microbial Cell Factories. 10(1). 70–70. 38 indexed citations
10.
Shimizu, Hiroshi, et al.. (2009). Control of Platooning and Changing Formation of Platoon for Electric Light Vehicles. Transactions of the Society of Automotive Engineers of Japan. 40(2). 505–510. 3 indexed citations
11.
Shimizu, Hiroshi, et al.. (2008). Platooning of Electric Light Vehicles with Short Inter-Vehicle Distances by Sharing Vehicle Information. 39(1). 7–13. 7 indexed citations
12.
Hirasawa, Takashi, et al.. (2008). Effect of odhA overexpression and odhA antisense RNA expression on Tween-40-triggered glutamate production by Corynebacterium glutamicum. Applied Microbiology and Biotechnology. 81(6). 1097–1106. 45 indexed citations
13.
Yamada, Tadashi, Chikara Furusawa, Keisuke Nagahisa, et al.. (2007). Analysis of fluctuation in protein abundance without promoter regulation based on Escherichia coli continuous culture. Biosystems. 90(3). 614–622. 5 indexed citations
14.
Hashimoto, Naohisa, et al.. (2005). Measurement of Driver's Reaction Time to Failure of Steering Controller during Automatic Driving. 26(2). 213–215. 22 indexed citations
15.
Shimizu, Hiroshi, et al.. (2005). Development of elemental technologies for an optical packet network. IEICE Technical Report; IEICE Tech. Rep.. 105(8). 25–30. 2 indexed citations
16.
Kakizaki, Yuko, et al.. (2003). DESIGN CONCEPT OF HIGH PERFORMANCE ELECTRIC VEHICLE "KAZ". 49(6). 27–36. 3 indexed citations
17.
Shimizu, Hiroshi, Suteaki Shioya, & Gregory Stephanopoulos. (1997). Bioprocess Database Mining. 9. 320. 1 indexed citations
18.
Shimizu, Hiroshi, et al.. (1996). Distributed RAID Style Video Server (Special Issue on Multimedia on Demand). IEICE Transactions on Communications. 79(8). 1030–1038. 2 indexed citations
19.
Shimizu, Hiroshi, et al.. (1992). Growth rate evaluation by a disturbance predictive controller. 2(2). 177–186. 4 indexed citations
20.
Sasano, Yasuhiro, Hiroshi Shimizu, Ichiro Matsui, et al.. (1980). Diurnal Variation of the Atmospheric Planetary Boundary Layer Observed by a Computer-Controlled Laser Radar. Journal of the Meteorological Society of Japan Ser II. 58(2). 143–148. 19 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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