Shingo Mutoh

495 citations
12 papers · 425 · h-index 9

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Neurology top 10%
    • Botulinum Toxin and Related Neurological Disorders
    • Neurological disorders and treatments

Papers in

    • Botulinum Toxin and Related Neurological Disorders 7
    • Neurological disorders and treatments 2
    • Pharmacogenetics and Drug Metabolism 3

Shingo Mutoh

12 papers receiving 415 citations

Peers

Shingo Mutoh
Comparison fields: 5 of 59
  • Pharmacology 182
  • Neurology 119
  • Endocrinology, Diabetes and Metabolism 99
  • Cellular and Molecular Neuroscience 79
  • Genetics 112
Replace Manjul K. Agarwal with:
Manjul K. Agarwal France
Meral Or Türkiye
A.F. Burton Canada
Irina E. Kovaleva Russia
Yuko Kamada Japan
Csaba Finta Sweden
S Handa Japan
Timothy K. Tippin United States
K Kawashima Japan
Markus Bach Germany
Shingo Mutoh relative to Manjul K. Agarwal France Manjul K. Agarwal's profile →
Citations per field
00.5×10×15×21.5×
Manjul K. Agarwal · 1×
Citations per year

Countries citing papers authored by Shingo Mutoh

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Mutoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2013163
2 2009114
3 200333
4 200524
5 200424
6 201722
7 200619
8 200514
9 20038
10 20172
11 20161
12 20141

About Shingo Mutoh

Shingo Mutoh is a scholar working on Neurology, Pharmacology, Public Health, Environmental and Occupational Health, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 425 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (7 papers), Streptococcal Infections and Treatments (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Estrogen and related hormone effects (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Hormonal Regulation and Hypertension (3 papers), Neurological disorders and treatments (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Pharmacology (182 citations), Neurology (119 citations), Endocrinology, Diabetes and Metabolism (99 citations), Cellular and Molecular Neuroscience (79 citations) and Genetics (112 citations). Shingo Mutoh has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masahiko Negishi, Tatsuya Sueyoshi, L. G. Pedersen, Rick Moore, L. Perera, Mack Sobhany, Tomonori Suzuki, Kimiko Hasegawa, Hirokazu Kouguchi and Tohru Ohyama. Their work appears in journals such as The Protein Journal, Microbiology, Journal of Biological Chemistry, Journal of Microbiological Methods and Microbiological Research.

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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