Thomas Shimizu

6.9k total citations
42 papers, 2.6k citations indexed

About

Thomas Shimizu is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Thomas Shimizu has authored 42 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Genetics and 11 papers in Biomedical Engineering. Recurrent topics in Thomas Shimizu's work include Gene Regulatory Network Analysis (10 papers), Bacterial Genetics and Biotechnology (10 papers) and Diffusion and Search Dynamics (8 papers). Thomas Shimizu is often cited by papers focused on Gene Regulatory Network Analysis (10 papers), Bacterial Genetics and Biotechnology (10 papers) and Diffusion and Search Dynamics (8 papers). Thomas Shimizu collaborates with scholars based in Netherlands, United States and United Kingdom. Thomas Shimizu's co-authors include Howard C. Berg, Yuhai Tu, Dennis Bray, Roman Stocker, Nicolas Le Novère, Thierry Emonet, Philippe Cluzel, José M. G. Vilar, Ekaterina A. Korobkova and Tanvir Ahmed and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Thomas Shimizu

41 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Shimizu Netherlands 23 1.6k 778 609 371 269 42 2.6k
Oleg A. Igoshin United States 31 1.5k 1.0× 350 0.4× 838 1.4× 188 0.5× 108 0.4× 95 2.3k
George H. Wadhams United Kingdom 23 2.2k 1.3× 441 0.6× 1.1k 1.8× 368 1.0× 410 1.5× 33 3.4k
Arthur Prindle United States 18 1.6k 1.0× 894 1.1× 498 0.8× 110 0.3× 359 1.3× 24 2.8k
Marco Cosentino Lagomarsino Italy 29 1.7k 1.0× 983 1.3× 823 1.4× 1.1k 2.9× 73 0.3× 115 3.4k
Shahid Khan United States 35 1.7k 1.1× 433 0.6× 794 1.3× 521 1.4× 708 2.6× 100 3.3k
Matthew R. Bennett United States 28 2.6k 1.6× 692 0.9× 791 1.3× 81 0.2× 152 0.6× 69 3.8k
Gürol M. Süel United States 25 3.1k 1.9× 513 0.7× 1.1k 1.8× 98 0.3× 464 1.7× 48 4.2k
Douglas A. Brown United States 10 879 0.5× 852 1.1× 355 0.6× 738 2.0× 275 1.0× 43 2.2k
Tal Danino United States 25 2.5k 1.6× 2.0k 2.6× 884 1.5× 139 0.4× 122 0.5× 50 4.9k
Teuta Piližota United Kingdom 21 771 0.5× 405 0.5× 281 0.5× 321 0.9× 184 0.7× 38 1.4k

Countries citing papers authored by Thomas Shimizu

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Shimizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Shimizu

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Shimizu. A scholar is included among the top collaborators of Thomas 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 Thomas Shimizu. Thomas 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.
2.
Mattingly, Henry H., et al.. (2025). Nongenetic adaptation by collective migration. Proceedings of the National Academy of Sciences. 122(8). e2423774122–e2423774122. 1 indexed citations
3.
Klein, Malin, Loreto Oyarte Gálvez, Vasilis Kokkoris, et al.. (2024). The potential of strigolactones to shift competitive dynamics among two Rhizophagus irregularis strains. Frontiers in Microbiology. 15. 1470469–1470469. 7 indexed citations
4.
Shimizu, Thomas, et al.. (2024). Signal integration and adaptive sensory diversity tuning in Escherichia coli chemotaxis. Cell Systems. 15(7). 628–638.e8. 3 indexed citations
5.
Costa, Antonio Carlos, et al.. (2019). Modelling the ballistic-to-diffusive transition in nematode motility reveals variation in exploratory behaviour across species. Journal of The Royal Society Interface. 16(157). 20190174–20190174. 8 indexed citations
6.
Whiteside, Matthew D., Gijsbert D. A. Werner, Victor Caldas, et al.. (2019). Mycorrhizal Fungi Respond to Resource Inequality by Moving Phosphorus from Rich to Poor Patches across Networks. Current Biology. 29(12). 2043–2050.e8. 108 indexed citations
7.
Wu, Fabai, Xuan Zheng, Kevin M. Felter, et al.. (2019). Cell Boundary Confinement Sets the Size and Position of the E. coli Chromosome. Current Biology. 29(13). 2131–2144.e4. 39 indexed citations
8.
Koler, Moriah, et al.. (2018). Long-term positioning and polar preference of chemoreceptor clusters in E. coli. Nature Communications. 9(1). 4444–4444. 14 indexed citations
9.
Scherer, Katharina M., et al.. (2018). Bacterial Chemoreceptor Imaging at High Spatiotemporal Resolution Using Photoconvertible Fluorescent Proteins. Methods in molecular biology. 1729. 203–231. 2 indexed citations
10.
Aleklett, Kristin, E. Toby Kiers, Pelle Ohlsson, et al.. (2017). Build your own soil: exploring microfluidics to create microbial habitat structures. The ISME Journal. 12(2). 312–319. 128 indexed citations
11.
Taute, Katja M., Sebastian Gude, Sander J. Tans, & Thomas Shimizu. (2015). High-throughput 3D tracking of bacteria on a standard phase contrast microscope. Nature Communications. 6(1). 8776–8776. 135 indexed citations
12.
Butler, Mitchell T., et al.. (2012). Salmonella chemoreceptors McpB and McpC mediate a repellent response to L‐cystine: a potential mechanism to avoid oxidative conditions. Molecular Microbiology. 84(4). 697–711. 16 indexed citations
13.
Shimizu, Thomas, et al.. (2012). Signaling Noise Enhances Chemotactic Drift ofE. coli. Physical Review Letters. 109(14). 148101–148101. 34 indexed citations
14.
Shimizu, Thomas, Yuhai Tu, & Howard C. Berg. (2010). A modular gradient‐sensing network for chemotaxis in Escherichia coli revealed by responses to time‐varying stimuli. Molecular Systems Biology. 6(1). 382–382. 186 indexed citations
15.
Sourjik, Victor, Ady Vaknin, Thomas Shimizu, & Howard C. Berg. (2007). In Vivo Measurement by FRET of Pathway Activity in Bacterial Chemotaxis. Methods in enzymology on CD-ROM/Methods in enzymology. 365–391. 108 indexed citations
16.
Shimizu, Thomas, Nicolas J. Delalez, Klemens Pichler, & Howard C. Berg. (2006). Monitoring bacterial chemotaxis by using bioluminescence resonance energy transfer: Absence of feedback from the flagellar motors. Proceedings of the National Academy of Sciences. 103(7). 2093–2097. 29 indexed citations
17.
Levin, Matthew D., Thomas Shimizu, & Dennis Bray. (2002). Binding and Diffusion of CheR Molecules Within a Cluster of Membrane Receptors. Biophysical Journal. 82(4). 1809–1817. 53 indexed citations
18.
Shimizu, Thomas, Nicolas Le Novère, Matthew D. Levin, et al.. (2000). Molecular model of a lattice of signalling proteins involved in bacterial chemotaxis. Nature Cell Biology. 2(11). 792–796. 158 indexed citations
19.
Shimizu, Thomas, et al.. (1999). A free-energy-based stochastic simulation of the tar receptor complex 1 1Edited by I. B. Holland. Journal of Molecular Biology. 286(4). 1059–1074. 97 indexed citations
20.
Tomita, Masaru, Kouichi Takahashi, Yuri Matsuzaki, et al.. (1998). E-CELL Project Overview:Towards Integrative Simulation of Cellular Processes. Proceedings Genome Informatics Workshop/Genome informatics. 9. 242–243. 2 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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