Koichi Suto

30 papers receiving 578 citations

Peers

Koichi Suto
Comparison fields: 5 of 67
  • Pollution 258
  • Environmental Chemistry 125
  • Water Science and Technology 151
  • Health, Toxicology and Mutagenesis 119
  • Biomedical Engineering 228
Replace Seyed Mohammad Mehdi Dastgheib with:
Seyed Mohammad Mehdi Dastgheib Iran
H. Y. Chien Taiwan
Jörg Langwaldt Finland
Stephanie Fiorenza United States
Michal Ziv‐El United States
J.-P. Croué France
Nalina Nadarajah Canada
Roel J.W. Meulepas Netherlands
Yunxiao Chong China
Weiguang Li China
Koichi Suto relative to Seyed Mohammad Mehdi Dastgheib Iran Seyed Mohammad Mehdi Dastgheib's profile →
Citations per field
00.5×3.1×
Seyed Mohammad Mehdi Dastgheib · 1×
Citations per year

Countries citing papers authored by Koichi Suto

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Suto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201083
2 201278
3 200874
4 201351
5 200950
6 200537
7 200336
8 201434
9 201025
10 201125
11 200921
12 200717
13 201712
14 199911
15 20147
16 20107
17 20034
18 20073
19 20183
20 20143

About Koichi Suto

Koichi Suto is a scholar working on Biomedical Engineering, Pollution, Water Science and Technology, Environmental Chemistry and Health, Toxicology and Mutagenesis, having authored 34 papers that have together received 595 indexed citations. Recurring topics across this work include Metal Extraction and Bioleaching (12 papers), Minerals Flotation and Separation Techniques (10 papers), Microbial bioremediation and biosurfactants (8 papers), Mine drainage and remediation techniques (7 papers), Environmental remediation with nanomaterials (5 papers), Arsenic contamination and mitigation (4 papers), Extraction and Separation Processes (4 papers) and Corrosion Behavior and Inhibition (3 papers). The work is most often cited by research in Pollution (258 citations), Environmental Chemistry (125 citations), Water Science and Technology (151 citations), Health, Toxicology and Mutagenesis (119 citations) and Biomedical Engineering (228 citations). Koichi Suto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Chihiro Inoue, Hernando P. Bacosa, Tadashi Chida, Junko Hara, Yasumasa Ogawa, Yoshishige Kawabe, Hiroshi Koibuchi, Kotaro Ise, Yui Takahashi and Hiroyuki Ito. Their work appears in journals such as Environmental Science & Technology, International Biodeterioration & Biodegradation, Journal of Environmental Science and Health Part A, Applied Microbiology and Biotechnology and Aquatic Geochemistry.

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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