Shohei Sugimoto

660 total citations
7 papers, 500 citations indexed

About

Shohei Sugimoto is a scholar working on Pharmaceutical Science, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Shohei Sugimoto has authored 7 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmaceutical Science, 3 papers in Molecular Biology and 3 papers in Materials Chemistry. Recurrent topics in Shohei Sugimoto's work include Crystallization and Solubility Studies (3 papers), Drug Solubulity and Delivery Systems (3 papers) and Nuclear physics research studies (2 papers). Shohei Sugimoto is often cited by papers focused on Crystallization and Solubility Studies (3 papers), Drug Solubulity and Delivery Systems (3 papers) and Nuclear physics research studies (2 papers). Shohei Sugimoto collaborates with scholars based in Japan, Germany and Spain. Shohei Sugimoto's co-authors include Hirofumi Takeuchi, Hiromitsu Yamamoto, Yoshiaki Kawashimà, Takashi Mano, Atsushi Omura, Kiyohiko Sugano, Yasuo Nakanishi, Kazumi Danjo, Toshiyuki Niwa and Kazuma Nakazawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Controlled Release and International Journal of Pharmaceutics.

In The Last Decade

Shohei Sugimoto

6 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shohei Sugimoto Japan 4 326 145 114 103 95 7 500
Biswadip Sinha Germany 8 375 1.2× 101 0.7× 125 1.1× 92 0.9× 126 1.3× 9 603
Deepa Patel India 9 271 0.8× 71 0.5× 53 0.5× 150 1.5× 102 1.1× 18 513
V. Kusum Devi India 13 369 1.1× 57 0.4× 194 1.7× 95 0.9× 101 1.1× 28 778
Sana Mohamed Mortada Egypt 10 252 0.8× 194 1.3× 59 0.5× 149 1.4× 159 1.7× 12 633
Magda W. Samaha Egypt 14 358 1.1× 209 1.4× 96 0.8× 193 1.9× 175 1.8× 24 825
Simon Bjerregaard Denmark 17 343 1.1× 154 1.1× 86 0.8× 230 2.2× 88 0.9× 33 765
Pascal Bertholet Belgium 11 243 0.7× 103 0.7× 62 0.5× 76 0.7× 23 0.2× 14 395
Orlagh M. Feeney Australia 13 378 1.2× 50 0.3× 104 0.9× 165 1.6× 103 1.1× 26 750
Dimitris Fatouros Greece 14 220 0.7× 29 0.2× 75 0.7× 73 0.7× 92 1.0× 19 460
Michal E. Matteucci United States 8 438 1.3× 51 0.4× 204 1.8× 104 1.0× 123 1.3× 10 662

Countries citing papers authored by Shohei Sugimoto

Since Specialization
Citations

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

Fields of papers citing papers by Shohei Sugimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shohei Sugimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Shohei Sugimoto. A scholar is included among the top collaborators of Shohei Sugimoto 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 Shohei Sugimoto. Shohei Sugimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Ekawa, H., Kazuma Nakazawa, C. Rappold, et al.. (2025). A novel application of machine learning to detect double-Λ hypernuclear events in nuclear emulsions. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1073. 170196–170196.
2.
Ekawa, H., Junya Yoshida, Yan He, et al.. (2022). Unique approach for precise determination of binding energies of hypernuclei with nuclear emulsion and machine learning. SHILAP Revista de lepidopterología. 271. 11006–11006. 1 indexed citations
3.
Sugimoto, Shohei, Tomoaki Ishida, Kei Kawada, et al.. (2022). Central Nervous System Ischemia Associated with Bevacizumab: An Analysis of the Japanese Adverse Drug Event Report Database. Biological and Pharmaceutical Bulletin. 45(12). 1805–1811. 3 indexed citations
4.
Sugimoto, Shohei, Toshiyuki Niwa, Yasuo Nakanishi, & Kazumi Danjo. (2012). Development of a novel ultra cryo-milling technique for a poorly water-soluble drug using dry ice beads and liquid nitrogen. International Journal of Pharmaceutics. 426(1-2). 162–169. 23 indexed citations
5.
Sugimoto, Shohei, Toshiyuki Niwa, Yasuo Nakanishi, & Kazumi Danjo. (2012). Novel Ultra-Cryo Milling and Co-grinding Technique in Liquid Nitrogen to Produce Dissolution-Enhanced Nanoparticles for Poorly Water-Soluble Drugs. Chemical and Pharmaceutical Bulletin. 60(3). 325–333. 18 indexed citations
6.
Sugano, Kiyohiko, et al.. (2007). Solubility and Dissolution Profile Assessment in Drug Discovery. Drug Metabolism and Pharmacokinetics. 22(4). 225–254. 167 indexed citations
7.
Yamamoto, Hiromitsu, et al.. (2004). Surface-modified PLGA nanosphere with chitosan improved pulmonary delivery of calcitonin by mucoadhesion and opening of the intercellular tight junctions. Journal of Controlled Release. 102(2). 373–381. 288 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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2026