Soichiro Tsuda

1.6k total citations
41 papers, 846 citations indexed

About

Soichiro Tsuda is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Soichiro Tsuda has authored 41 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 10 papers in Molecular Biology and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Soichiro Tsuda's work include Slime Mold and Myxomycetes Research (10 papers), Plant and Biological Electrophysiology Studies (6 papers) and Modular Robots and Swarm Intelligence (5 papers). Soichiro Tsuda is often cited by papers focused on Slime Mold and Myxomycetes Research (10 papers), Plant and Biological Electrophysiology Studies (6 papers) and Modular Robots and Swarm Intelligence (5 papers). Soichiro Tsuda collaborates with scholars based in Japan, United Kingdom and United States. Soichiro Tsuda's co-authors include Yukio‐Pegio Gunji, Leroy Cronin, Masashi Aono, Mari Yoshida, Klaus‐Peter Zauner, Hywel Morgan, Hiroaki Suzuki, Trevor Hinkley, Jeff Jones and M. D. Luque de Castro and has published in prestigious journals such as Nature Communications, PLoS ONE and Chemical Communications.

In The Last Decade

Soichiro Tsuda

40 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soichiro Tsuda Japan 14 411 228 151 149 147 41 846
Toru Ide Japan 18 329 0.8× 1.3k 5.6× 98 0.6× 147 1.0× 68 0.5× 65 1.6k
Yingjie Sun China 19 314 0.8× 863 3.8× 146 1.0× 89 0.6× 13 0.1× 44 1.6k
August Dorn Germany 27 162 0.4× 415 1.8× 318 2.1× 153 1.0× 196 1.3× 86 1.8k
Michael Bartsch United States 20 453 1.1× 520 2.3× 524 3.5× 826 5.5× 34 0.2× 40 1.8k
Shuai Sun China 22 522 1.3× 777 3.4× 201 1.3× 198 1.3× 20 0.1× 58 1.7k
Adam J. Meyer United States 19 145 0.4× 1.1k 5.0× 30 0.2× 82 0.6× 118 0.8× 26 1.5k
Yuichi Wakamoto Japan 19 481 1.2× 705 3.1× 53 0.4× 31 0.2× 23 0.2× 34 1.5k
Jingdong Tian United States 16 282 0.7× 1.4k 6.0× 74 0.5× 62 0.4× 19 0.1× 22 1.8k
Andrew B. Kinghorn Hong Kong 17 336 0.8× 926 4.1× 98 0.6× 124 0.8× 18 0.1× 29 1.1k

Countries citing papers authored by Soichiro Tsuda

Since Specialization
Citations

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

Fields of papers citing papers by Soichiro Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soichiro Tsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Soichiro Tsuda. A scholar is included among the top collaborators of Soichiro Tsuda 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 Soichiro Tsuda. Soichiro Tsuda 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.
Kogawa, Masato, et al.. (2025). Development of Chimera AMP–Endolysin with Wider Spectra Against Gram-Negative Bacteria Using High-Throughput Assay. Viruses. 17(2). 200–200. 1 indexed citations
2.
Kato, Hiromi, Shintaro Hara, Tsubasa Ohbayashi, et al.. (2025). Single-cell genomics of single soil aggregates: methodological assessment and potential implications with a focus on nitrogen metabolism. Frontiers in Microbiology. 16. 1557188–1557188. 2 indexed citations
3.
Hosokawa, Masahito, et al.. (2023). Target enrichment of uncultured human oral bacteria with phage-derived molecules found by single-cell genomics. Journal of Bioscience and Bioengineering. 136(1). 58–66. 4 indexed citations
4.
5.
Koiwai, Keiichiro, Takashi Koyama, Soichiro Tsuda, et al.. (2021). Single-cell RNA-seq analysis reveals penaeid shrimp hemocyte subpopulations and cell differentiation process. eLife. 10. 62 indexed citations
6.
Sharma, Abhishek, et al.. (2020). A programmable chemical computer with memory and pattern recognition. Nature Communications. 11(1). 1442–1442. 54 indexed citations
7.
Tsuda, Soichiro, et al.. (2019). Development of Pharmacy - Hospital Training Collaboration Tool Aiming to Improve the Coverage and Continuity of the Minimum Medical Conditions in Clinical Rotation. Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences). 45(10). 596–603. 4 indexed citations
8.
Tsuda, Soichiro, et al.. (2017). Adaptive artificial evolution of droplet protocells in a 3D-printed fluidic chemorobotic platform with configurable environments. Nature Communications. 8(1). 1144–1144. 25 indexed citations
9.
Yoshida, Mari, et al.. (2017). Time-programmable drug dosing allows the manipulation, suppression and reversal of antibiotic drug resistance in vitro. Nature Communications. 8(1). 15589–15589. 66 indexed citations
10.
Hosoda, Kazufumi, Soichiro Tsuda, Kohmei Kadowaki, et al.. (2015). Population–reaction model and microbial experimental ecosystems for understanding hierarchical dynamics of ecosystems. Biosystems. 140. 28–34. 6 indexed citations
11.
Tsuda, Soichiro, et al.. (2015). Customizable 3D Printed ‘Plug and Play’ Millifluidic Devices for Programmable Fluidics. PLoS ONE. 10(11). e0141640–e0141640. 67 indexed citations
12.
Tsuda, Soichiro, Tatsuya Sakakura, Satoshi Fujii, Hiroaki Suzuki, & Tetsuya Yomo. (2015). Shape Transformations of Lipid Vesicles by Insertion of Bulky-Head Lipids. PLoS ONE. 10(7). e0132963–e0132963. 13 indexed citations
13.
Sakurai, Masatoshi, Takehiko Mori, Jun Kato, et al.. (2014). Efficacy of aprepitant in preventing nausea and vomiting due to high-dose melphalan-based conditioning for allogeneic hematopoietic stem cell transplantation. International Journal of Hematology. 99(4). 457–462. 8 indexed citations
14.
Tsuda, Soichiro, et al.. (2014). Liposome-Based Liquid Handling Platform Featuring Addition, Mixing, and Aliquoting of Femtoliter Volumes. PLoS ONE. 9(7). e101820–e101820. 21 indexed citations
15.
Sakatani, Naoya, Kazuo Ogawa, Y. Iijima, et al.. (2013). Thermal conductivity measurements of glass beads and regolith simulant under vacuum conditions. European Planetary Science Congress. 1 indexed citations
16.
Németh, Balázs Csaba, Christoph Busche, Soichiro Tsuda, Leroy Cronin, & David R. S. Cumming. (2012). Imaging the Belousov–Zhabotinsky reaction in real time using an ion sensitive array. Chemical Communications. 48(42). 5085–5085. 1 indexed citations
17.
Tsuda, Soichiro & Jeff Jones. (2010). The Emergence of Complex Oscillatory Behaviour in Physarum polycephalum and its Particle Approximation. Artificial Life. 698–705. 3 indexed citations
18.
Tsuda, Soichiro, et al.. (2009). On-chip electrical impedance tomography for imaging biological cells. Biosensors and Bioelectronics. 25(5). 1109–1115. 72 indexed citations
19.
Tsuda, Soichiro, et al.. (2008). Information-Theoretic Aspects of Control in a Bio-Hybrid Robot Device. Artificial Life. 33–40. 1 indexed citations
20.
Tsuda, Soichiro, Klaus‐Peter Zauner, & Yukio‐Pegio Gunji. (2006). Computing Substrates and Life. ePrints Soton (University of Southampton). 4 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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