Dai Ishikawa

2.8k citations
136 papers · 2.1k · h-index 24

Impact in

Papers in

Dai Ishikawa

124 papers receiving 2.1k citations

Peers

Dai Ishikawa
Comparison fields: 5 of 121
  • Gastroenterology 116
  • Immunology 410
  • Infectious Diseases 278
  • Molecular Biology 1.0k
  • Biological Psychiatry 26
Replace Antonella Caputo with:
Antonella Caputo Italy
Hajime Takeuchi Japan
Yukio Sato Japan
Mingquan Guo China
T Porstmann Germany
Atsushi Horiuchi Japan
Atsushi Ozawa Japan
Xiaoyu Pan China
Qinghua Zou China
Dai Ishikawa relative to Antonella Caputo Italy Antonella Caputo's profile →
Citations per field
00.5×2.6×
Antonella Caputo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dai Ishikawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dai Ishikawa Line = papers co-authored together Dai Ishikawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020133
2 2021117
3 2015115
4 2016111
5 200297
6 200893
7 201291
8 202076
9 199467
10 199462
11 199953
12 201847
13 199846
14
Ganglioside GD1alpha functions in the adhesion of metastatic tumor cells to endothelial cells of the target tissue.
199744
15 201243
16 199542
17 199742
18 202041
19 199737
20 202334

About Dai Ishikawa

Dai Ishikawa is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Infectious Diseases, Epidemiology and Mechanical Engineering, having authored 136 papers that have together received 2.1k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (25 papers), Gut microbiota and health (24 papers), Semiconductor materials and devices (22 papers), Electronic Packaging and Soldering Technologies (19 papers), Glycosylation and Glycoproteins Research (14 papers), Copper Interconnects and Reliability (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Inflammatory Bowel Disease (10 papers). The work is most often cited by research in Gastroenterology (116 citations), Immunology (410 citations), Infectious Diseases (278 citations), Molecular Biology (1.0k citations) and Biological Psychiatry (26 citations). Dai Ishikawa has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Takao Taki, Tomoyoshi Shibuya, Taro Osada, T. Taki, Keiichi Haga, Akihito Nagahara, S Handa, Kyoko Kuwahara‐Arai, Takashi Sasaki and Setsuko Handa. Their work appears in journals such as Japanese Journal of Applied Physics, Inflammatory Bowel Diseases, Analytical Biochemistry, FEBS Letters and Journal of Clinical Medicine.

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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