Sohei Harada

1.8k citations
91 papers · 1.3k · h-index 21

Impact in

Papers in

    • Antibiotic Resistance in Bacteria 28
    • Antimicrobial Resistance in Staphylococcus 12
    • COVID-19 Clinical Research Studies 11
    • Amoebic Infections and Treatments 7

Sohei Harada

80 papers receiving 1.3k citations

Peers

Sohei Harada
Comparison fields: 5 of 107
  • Molecular Medicine 591
  • Endocrinology 217
  • Applied Microbiology and Biotechnology 55
  • Infectious Diseases 369
  • Clinical Biochemistry 106
Replace Ya‐Sung Yang with:
Ya‐Sung Yang Taiwan
J. Pita Spain
Pitak Santanirand Thailand
Adam G. Stewart Australia
Suzane Silbert United States
Elif Aktaş Türkiye
Haishen Kong China
Kyeong Seob Shin South Korea
Tomoo Saga Japan
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Sohei Harada relative to Ya‐Sung Yang Taiwan Ya‐Sung Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sohei Harada

Since Specialization
Citations

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

Fields of papers citing papers by Sohei Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020102
2 201989
3 201875
4 201263
5 201861
6 201259
7 201053
8 201140
9 201136
10 201136
11 200835
12 202133
13 201832
14 201226
15 201524
16 201424
17 198724
18 201323
19 201223
20 202223

About Sohei Harada

Sohei Harada is a scholar working on Molecular Medicine, Infectious Diseases, Endocrinology, Epidemiology and Clinical Biochemistry, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (28 papers), Antimicrobial Resistance in Staphylococcus (12 papers), COVID-19 Clinical Research Studies (11 papers), Mycobacterium research and diagnosis (11 papers), Bacterial Identification and Susceptibility Testing (10 papers), Infective Endocarditis Diagnosis and Management (9 papers), Amoebic Infections and Treatments (7 papers) and Enterobacteriaceae and Cronobacter Research (5 papers). The work is most often cited by research in Molecular Medicine (591 citations), Endocrinology (217 citations), Applied Microbiology and Biotechnology (55 citations), Infectious Diseases (369 citations) and Clinical Biochemistry (106 citations). Sohei Harada has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Yoshikazu Ishii, Kazuhiro Tateda, Yohei Doi, Tomoo Saga, Keizo Yamaguchi, Kotaro Aoki, Koh Okamoto, Kyoji Moriya, Yoshikazu Ishii and Toru Kamiya. Their work appears in journals such as Journal of Clinical Microbiology, Microbiology Spectrum, International Journal of Infectious Diseases, Antimicrobial Agents and Chemotherapy and BMC Infectious Diseases.

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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