Yasuhiro Gotoh

2.0k citations
71 papers · 1.2k indexed · h-index 19

Yasuhiro Gotoh

66 papers receiving 1.2k citations

Peers

Yasuhiro Gotoh
Comparison fields: 5 of 102
  • Endocrinology 352
  • Molecular Medicine 165
  • Infectious Diseases 304
  • Microbiology 81
  • Ecology 321
Replace Qiangde Duan with:
Qiangde Duan China
Steve Garvis France
Kaman Chan United States
Hengliang Wang China
Médéric Diard Switzerland
Xiao-Zhe Huang United States
Gunnar N. Schroeder United Kingdom
Assaf Rokney Israel
Raimond Lugert Germany
Jennifer L. Rowland United States
Yasuhiro Gotoh relative to Qiangde Duan China Qiangde Duan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yasuhiro Gotoh

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Gotoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20242
4 20240
5 20231
6 20234
7 20238
8 202222
9 202242
10 202131
11 20216
12 202114
13 20218
14 20219
15 202112
16 202118
17 20207
18 201565
19
Comparison and characterization of polygalacturonase inhibiting protein genes from the genus of citrus and its close related genera
20028
20 19845

About Yasuhiro Gotoh

Yasuhiro Gotoh is a scholar working on Endocrinology, Molecular Medicine, Infectious Diseases, Ecology and Small Animals, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (25 papers), Escherichia coli research studies (19 papers), Viral gastroenteritis research and epidemiology (14 papers), Genomics and Phylogenetic Studies (9 papers), Antibiotic Resistance in Bacteria (9 papers), Bacterial Genetics and Biotechnology (9 papers), Mycobacterium research and diagnosis (6 papers) and Microbial Community Ecology and Physiology (6 papers). The work is most often cited by research in Endocrinology (352 citations), Molecular Medicine (165 citations), Infectious Diseases (304 citations), Microbiology (81 citations) and Ecology (321 citations). Yasuhiro Gotoh has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Tetsuya Hayashi, Ryutaro Utsumi, Takafumi Watanabe, Yoshitoshi Ogura, Akihiro Doi, Yoko Eguchi, Sho Okamoto, Tadasuke Ooka, Keiji Nakamura and Takehiko Itoh. Their work appears in journals such as Microbial Genomics, Frontiers in Microbiology, Scientific Reports, DNA Research and eLife.

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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