Dai Ishikawa

2.8k total citations
133 papers, 2.0k citations indexed

About

Dai Ishikawa is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Infectious Diseases. According to data from OpenAlex, Dai Ishikawa has authored 133 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 46 papers in Electrical and Electronic Engineering and 27 papers in Infectious Diseases. Recurrent topics in Dai Ishikawa's work include Gut microbiota and health (29 papers), Clostridium difficile and Clostridium perfringens research (27 papers) and Semiconductor materials and devices (22 papers). Dai Ishikawa is often cited by papers focused on Gut microbiota and health (29 papers), Clostridium difficile and Clostridium perfringens research (27 papers) and Semiconductor materials and devices (22 papers). Dai Ishikawa collaborates with scholars based in Japan, Germany and United States. Dai Ishikawa's co-authors include Takao Taki, Tomoyoshi Shibuya, T. Taki, Taro Osada, Keiichi Haga, Akihito Nagahara, S Handa, Kyoko Kuwahara‐Arai, Takeshi Kasama and Setsuko Handa and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Dai Ishikawa

122 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dai Ishikawa Japan 24 1.1k 436 319 301 252 133 2.0k
Gerard Bruin Switzerland 25 491 0.5× 1.3k 2.9× 403 1.3× 123 0.4× 473 1.9× 59 3.9k
Mingquan Guo China 24 1.1k 1.0× 242 0.6× 207 0.6× 673 2.2× 57 0.2× 46 2.2k
T Porstmann Germany 20 706 0.6× 265 0.6× 80 0.3× 182 0.6× 215 0.9× 59 1.7k
Atsushi Horiuchi Japan 25 648 0.6× 430 1.0× 112 0.4× 376 1.2× 115 0.5× 188 2.8k
Qinghua Zou China 18 540 0.5× 148 0.3× 83 0.3× 226 0.8× 145 0.6× 76 1.3k
Atsushi Ozawa Japan 26 535 0.5× 196 0.4× 157 0.5× 193 0.6× 194 0.8× 137 2.3k
Takeshi Sano Japan 37 2.1k 1.9× 207 0.5× 290 0.9× 89 0.3× 207 0.8× 177 4.8k
Antonella Caputo Italy 36 2.4k 2.2× 1.2k 2.7× 90 0.3× 441 1.5× 441 1.8× 127 4.7k
Matthias Amrein Canada 29 797 0.7× 663 1.5× 220 0.7× 259 0.9× 90 0.4× 53 2.7k
Kenji Kishi Japan 33 791 0.7× 1.3k 3.0× 588 1.8× 219 0.7× 124 0.5× 178 3.8k

Countries citing papers authored by Dai Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Dai Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Ishikawa. A scholar is included among the top collaborators of Dai Ishikawa 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 Dai Ishikawa. Dai Ishikawa 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.
Ishikawa, Dai, et al.. (2025). Fecal Microbiota Transplantation for Inflammatory Bowel Disease: Where We Stand and What Is Next. Inflammatory Intestinal Diseases. 10(1). 371–386.
2.
3.
Ishikawa, Dai, Hikaru Watanabe, Kei Nomura, et al.. (2025). Patient–donor similarity and donor-derived species contribute to the outcome of fecal microbiota transplantation for ulcerative colitis. Journal of Crohn s and Colitis. 19(4). 1 indexed citations
4.
Ishikawa, Dai, Xiaochen Zhang, & Akihito Nagahara. (2025). Current Applications and Future Prospects of Fecal Microbiota Transplantation. Juntendo Medical Journal. 71(2). 68–75.
5.
Nomura, Kei, et al.. (2024). Treatment of Crohn’s Disease With Infliximab and Subsequent Development of Takayasu’s Arteritis. Gastroenterology Research. 17(5-6). 217–223.
6.
Nomura, Kei, Tomoyoshi Shibuya, Kentaro Ito, et al.. (2024). Comparison of the Effectiveness of Vedolizumab and Ustekinumab in Patients with Ulcerative Colitis: A Real-World Retrospective Study. Biomedicines. 12(9). 1991–1991. 1 indexed citations
7.
Nomura, Kei, Tomoyoshi Shibuya, Hirofumi Fukushima, et al.. (2024). Residual Recurrence of a Small Intestinal Capillary Hemangioma with Obscure Gastrointestinal Bleeding Treated by Double-Balloon Endoscopy: A Case Report and Literature Review. Journal of Clinical Medicine. 13(12). 3415–3415.
8.
9.
Nomura, Kei, Tomoyoshi Shibuya, Keiichi Haga, et al.. (2023). Enterolith Treated with a Combination of Double-Balloon Endoscopy and Cola Dissolution Therapy. Medicina. 59(3). 573–573. 1 indexed citations
10.
Moriyama, Miyu, Chiharu Ishii, Hirotake Mori, et al.. (2023). High body temperature increases gut microbiota-dependent host resistance to influenza A virus and SARS-CoV-2 infection. Nature Communications. 14(1). 3863–3863. 31 indexed citations
11.
12.
Haga, Keiichi, Tomoyoshi Shibuya, Taro Osada, et al.. (2022). Early Clinical Remission Is a Predictor of Long-Term Remission with the Use of Vedolizumab for Ulcerative Colitis. Biomedicines. 10(10). 2526–2526. 5 indexed citations
13.
Ishikawa, Dai. (2015). Alterations of Intestinal Microbiota in Ulcerative Colitis Patients Treated with Sequential Antibiotic Combination and Faecal Microbiota Transplantation. 1 indexed citations
14.
Ishikawa, Dai, Akira Okazawa, Daniele Corridoni, et al.. (2012). Tregs are dysfunctional in vivo in a spontaneous murine model of Crohn's disease. Mucosal Immunology. 6(2). 267–275. 42 indexed citations
15.
Hayashi, Yamato, Dai Ishikawa, Hirotsugu Takizawa, et al.. (2007). Process Development and Application of Noble Metal Nanoparticle Related Materials by Total Eco-design. Journal of the Japan Society of Powder and Powder Metallurgy. 54(3). 186–193. 2 indexed citations
16.
Harada, Yasuo, Dai Ishikawa, Shinji Sogo, et al.. (2007). Efficient gene expression in megakaryocytic cell line using nucleofection. International Journal of Pharmaceutics. 338(1-2). 157–164. 8 indexed citations
17.
Kikkawa, Hironori, Tomohiro Asai, Dai Ishikawa, et al.. (2000). Suppression of GD1α ganglioside‐mediated tumor metastasis by liposomalized WHW‐peptide. FEBS Letters. 466(2-3). 381–384. 19 indexed citations
18.
Ishikawa, Dai & Takao Taki. (1999). Biocombinatorial Chemistry, a Novel Approach Using Phage-Displayed Libraries in Glycobiology. Special Reference to Glyco-Replica Peptides.. Trends in Glycoscience and Glycotechnology. 11(61). 277–285. 2 indexed citations
19.
Ishikawa, Dai, Tadafumi Kato, S Handa, & T. Taki. (1995). New Methods Using Polyvinylidene Difluoride Membranes to Detect Enzymes Involved in Glycosphingolipid Metabolism. Analytical Biochemistry. 231(1). 13–19. 9 indexed citations
20.
Taki, T., S Handa, & Dai Ishikawa. (1994). Blotting of Glycolipids and Phospholipids from a High-Performance Thin-Layer Chromatogram to a Polyvinylidene Difluoride Membrane. Analytical Biochemistry. 221(2). 312–316. 62 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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