Shoki Nishida

1.1k citations
61 papers · 826 · h-index 16

Impact in

    • Clostridium difficile and Clostridium perfringens research
    • Viral gastroenteritis research and epidemiology
  • Neurology top 5%
    • Botulinum Toxin and Related Neurological Disorders

Papers in

    • Clostridium difficile and Clostridium perfringens research 44
    • Antimicrobial Resistance in Staphylococcus 5
    • Gut microbiota and health 16
    • Bacterial biofilms and quorum sensing 4

Shoki Nishida

59 papers receiving 734 citations

Peers

Shoki Nishida
Comparison fields: 5 of 68
  • Infectious Diseases 574
  • Neurology 174
  • Clinical Biochemistry 76
  • Critical Care and Intensive Care Medicine 42
  • Endocrinology 47
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Citations per field
00.5×3.0×
Sean S. Dineen · 1×
Citations per year

Countries citing papers authored by Shoki Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Shoki Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981122
2 197655
3 197636
4 197832
5 198229
6 196426
7 198525
8 198325
9 196924
10 198124
11 198224
12 196424
13 198222
14 198820
15 197420
16 196417
17 196515
18 198615
19 197713
20 198513

About Shoki Nishida

Shoki Nishida is a scholar working on Infectious Diseases, Molecular Biology, Neurology, Clinical Biochemistry and Immunology, having authored 61 papers that have together received 826 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (44 papers), Botulinum Toxin and Related Neurological Disorders (24 papers), Gut microbiota and health (16 papers), Bacterial Identification and Susceptibility Testing (12 papers), Toxin Mechanisms and Immunotoxins (8 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Streptococcal Infections and Treatments (4 papers) and Bacterial biofilms and quorum sensing (4 papers). The work is most often cited by research in Infectious Diseases (574 citations), Neurology (174 citations), Clinical Biochemistry (76 citations), Critical Care and Intensive Care Medicine (42 citations) and Endocrinology (47 citations). Shoki Nishida has collaborated with scholars based in Japan and China. Frequent co-authors include Shinichi Nakamura, Kiyotaka Yamakawa, Toshihiko Serikawa, Satoshi Nakashio, Takayoshi Yamagishi, Seiichi Okumura, Gizo Nakagawara, Shinichiro Nakamura, Tomotari MITSUOKA and Akio Kobayashi. Their work appears in journals such as Journal of Bacteriology, Journal of Medical Microbiology, Canadian Journal of Microbiology, Infection and Immunity and Microbiology and Immunology.

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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