Koichi Kawasaki

2.3k citations
130 papers · 1.9k indexed · h-index 22

Koichi Kawasaki

120 papers receiving 1.8k citations

Peers

Koichi Kawasaki
Comparison fields: 5 of 115
  • Nephrology 275
  • Immunology and Allergy 112
  • Molecular Biology 851
  • Microbiology 75
  • Endocrinology, Diabetes and Metabolism 194
Replace Jan A. A. M. Kamps with:
Jan A. A. M. Kamps Netherlands
James T. Anderson United States
William Westlin United States
Kenneth W. Yip Canada
Noriko Mori Japan
Mark J. Suto United States
Hongchang Qu United States
Andrew Booth United Kingdom
Susan L. Kelley United States
Yoshiro Kobayashi Japan
Koichi Kawasaki relative to Jan A. A. M. Kamps Netherlands Jan A. A. M. Kamps's profile →
Citations per field
00.5×3.9×
Jan A. A. M. Kamps · 1×
Citations per year

Countries citing papers authored by Koichi Kawasaki

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Kawasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Koichi Kawasaki, 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 Koichi Kawasaki Line = papers co-authored together Koichi Kawasaki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20120
2 201217
3 201136
4 200920
5 200815
6 200729
7 20055
8 200511
9
A New N-Protecting Group, 2-[Phenyl(methyl)sulfonio]ethyloxycarbonyl Tetrafluoroborate, and Its Application to Solid Phase Peptide Synthesis in Water
20021
10 200028
11 19982
12 199712
13 19956
14 19949
15 199462
16 199314
17 199211
18 198928
19 19700
20 19690

About Koichi Kawasaki

Koichi Kawasaki is a scholar working on Immunology and Allergy, Molecular Biology and Biochemistry, having authored 130 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (51 papers), Cell Adhesion Molecules Research (16 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Peptidase Inhibition and Analysis (14 papers), Neuropeptides and Animal Physiology (11 papers), Glycosylation and Glycoproteins Research (9 papers), RNA Interference and Gene Delivery (8 papers) and Chemical Synthesis and Reactions (7 papers). The work is most often cited by research in Nephrology (275 citations), Immunology and Allergy (112 citations) and Molecular Biology (851 citations). Koichi Kawasaki has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Mitsuko Maeda, Keiko Hojo, Tsutomu Tabata, Takahiko Kawagishi, Tetsuo Shoji, Yoshiki Nishizawà, Hirotoshi Morii, Tadanori Mayumi, Toshiaki Konishi and Takashi Inoue. Their work appears in journals such as Journal of the American Chemical Society, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

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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