Tetsuya Harada

940 citations
42 papers · 648 · h-index 16

Impact in

Papers in

    • Escherichia coli research studies 15
    • Enterobacteriaceae and Cronobacter Research 7
    • Antimicrobial Resistance in Staphylococcus 13

Tetsuya Harada

40 papers receiving 623 citations

Peers

Tetsuya Harada
Comparison fields: 5 of 67
  • Endocrinology 237
  • Molecular Medicine 189
  • Infectious Diseases 269
  • Food Science 215
  • Clinical Biochemistry 65
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Michel A Marín Chile
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Citations per field
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Citations per year

Countries citing papers authored by Tetsuya Harada

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201190
2 201455
3 201244
4
A survey of β-lactamase-producing Escherichia coli in farm animals and raw retail meat in Shizuoka Prefecture, Japan.
201133
5 201130
6 201230
7 201224
8 200724
9 201122
10 202120
11 201419
12
A food poisoning diarrhea outbreak caused by enteroaggregative Escherichia coli serogroup O126:H27 in Shizuoka, Japan.
200719
13 201718
14 201317
15 201216
16 201815
17 200715
18 200414
19 200513
20 201113

About Tetsuya Harada

Tetsuya Harada is a scholar working on Endocrinology, Infectious Diseases, Food Science, Molecular Biology and Biotechnology, having authored 42 papers that have together received 648 indexed citations. Recurring topics across this work include Escherichia coli research studies (15 papers), Salmonella and Campylobacter epidemiology (13 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Enterobacteriaceae and Cronobacter Research (7 papers), Antibiotic Resistance in Bacteria (7 papers), Listeria monocytogenes in Food Safety (7 papers), Microbial infections and disease research (6 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Endocrinology (237 citations), Molecular Medicine (189 citations), Infectious Diseases (269 citations), Food Science (215 citations) and Clinical Biochemistry (65 citations). Tetsuya Harada has collaborated with scholars based in Japan, United Kingdom and Albania. Frequent co-authors include Yuko Kumeda, Masashi Kanki, Fumihiko Kawamori, Kanji Sugiyama, Midori Hiroi, Takashi Masuda, Kazuko Seto, Takao Kawai, Masumi Taguchi and Kentaro Kawatsu. Their work appears in journals such as Journal of Food Protection, International Journal of Food Microbiology, Diagnostic Microbiology and Infectious Disease, Foodborne Pathogens and Disease and Journal of Clinical Microbiology.

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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