Junko Tomida

57 papers receiving 1.2k citations

Peers

Junko Tomida
Comparison fields: 5 of 112
  • Molecular Medicine 396
  • Endocrinology 144
  • Applied Microbiology and Biotechnology 32
  • Microbiology 90
  • Pharmacology 199
Replace Marija Tonkić with:
Marija Tonkić Croatia
Aroonlug Lulitanond Thailand
Essam J. Alyamani Saudi Arabia
Jinxin Zheng China
Ebrahim Kouhsari Iran
Matthias Willmann Germany
Dayang Zou China
Zhihai Liu China
Shwu‐Jen Liaw Taiwan
Itaru Hirai Japan
Junko Tomida relative to Marija Tonkić Croatia Marija Tonkić's profile →
Citations per field
00.5×4.0×
Marija Tonkić · 1×
Citations per year

Countries citing papers authored by Junko Tomida

Since Specialization
Citations

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

Fields of papers citing papers by Junko Tomida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junko Tomida, 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 Junko Tomida Line = papers co-authored together Junko Tomida 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 2014275
2 2012156
3 201480
4 201672
5 201255
6 201553
7 201247
8 201234
9 201733
10 201427
11 201226
12 201925
13 201123
14 201820
15 201820
16 201319
17 201719
18 201617
19 201016
20 201616

About Junko Tomida

Junko Tomida is a scholar working on Molecular Biology, Epidemiology, Endocrinology, Surgery and Pharmacology, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Helicobacter pylori-related gastroenterology studies (10 papers), Mycobacterium research and diagnosis (10 papers), Antibiotic Resistance in Bacteria (9 papers), Microbial Natural Products and Biosynthesis (9 papers), Fungal Biology and Applications (7 papers), Bacterial biofilms and quorum sensing (7 papers) and Enterobacteriaceae and Cronobacter Research (7 papers). The work is most often cited by research in Molecular Medicine (396 citations), Endocrinology (144 citations), Applied Microbiology and Biotechnology (32 citations), Microbiology (90 citations) and Pharmacology (199 citations). Junko Tomida has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Yoshiaki Kawamura, Yuji Morita, Takaaki Akaike, Ken‐ichi Nakashima, Makoto Inoue, Tatsuya Okamoto, Shigemoto Fujii, Kunihiko Nishino, Takao Hirai and Nagatoshi Fujiwara. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Systematic and Applied Microbiology, Frontiers in Microbiology, Biological and Pharmaceutical Bulletin and Antibiotics.

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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