Kan Usuda

46 papers receiving 636 citations

Peers

Kan Usuda
Comparison fields: 5 of 129
  • Water Science and Technology 147
  • Health, Toxicology and Mutagenesis 142
  • Developmental Neuroscience 42
  • Health 79
  • Neuropsychology and Physiological Psychology 14
Replace Kazuyoshi Itai with:
Kazuyoshi Itai Japan
Yasuhiro Ishibashi Japan
R F Lacey United Kingdom
Ashley J. Malin United States
Chuanlai Hu China
Carolina Donat‐Vargas Spain
Katherine Moon United States
George Nakos Greece
Tomotaro Dote Japan
Kan Usuda relative to Kazuyoshi Itai Japan Kazuyoshi Itai's profile →
Citations per field
00.5×10.5×
Kazuyoshi Itai · 1×
Citations per year

Countries citing papers authored by Kan Usuda

Since Specialization
Citations

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

Fields of papers citing papers by Kan Usuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007106
2 199768
3 200742
4 200034
5 199833
6 200031
7 201424
8 200620
9 200619
10 199718
11 200418
12 199917
13 200716
14 200915
15 201215
16 199915
17 199814
18 201013
19 200611
20 199711

About Kan Usuda

Kan Usuda is a scholar working on Water Science and Technology, Health, Toxicology and Mutagenesis, Nutrition and Dietetics, Plant Science and Nephrology, having authored 46 papers that have together received 675 indexed citations. Recurring topics across this work include Fluoride Effects and Removal (14 papers), Heavy Metal Exposure and Toxicity (8 papers), Plant Micronutrient Interactions and Effects (5 papers), Trace Elements in Health (5 papers), Chemical Analysis and Environmental Impact (5 papers), Aluminum toxicity and tolerance in plants and animals (4 papers), Folate and B Vitamins Research (4 papers) and Mercury impact and mitigation studies (3 papers). The work is most often cited by research in Water Science and Technology (147 citations), Health, Toxicology and Mutagenesis (142 citations), Developmental Neuroscience (42 citations), Health (79 citations) and Neuropsychology and Physiological Psychology (14 citations). Kan Usuda has collaborated with scholars based in Japan, Switzerland and China. Frequent co-authors include Koichi Kono, Tomotaro Dote, Misuzu Watanabe, Yoshimi Tanimoto, Rei Kono, Hiroyasu Shimizu, Masashi Shimahara, Kaori Miyata, M. Saito and Wei Sun. Their work appears in journals such as Biological Trace Element Research, Toxicology and Industrial Health, Environmental Health and Preventive Medicine, International Archives of Occupational and Environmental Health and Archives of Toxicology.

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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