Aina Gotoh

1.9k citations
33 papers · 1.4k · h-index 19

Impact in

Papers in

Aina Gotoh

32 papers receiving 1.3k citations

Peers

Aina Gotoh
Comparison fields: 5 of 99
  • Nutrition and Dietetics 629
  • Food Science 410
  • Molecular Biology 794
  • Pharmacy 56
  • Genetics 278
Replace Mikiyasu Sakanaka with:
Mikiyasu Sakanaka Japan
Jean-Pierre Grill France
Christopher Beermann Germany
Marie-Louise Noordine France
Natasha R. Ryz Canada
Jean‐Marc Aeschlimann Switzerland
Jiaojiao Xie China
Marina Elli Italy
G Sawatzki Germany
Chantal Cayuela France
Aina Gotoh relative to Mikiyasu Sakanaka Japan Mikiyasu Sakanaka's profile →
Citations per field
00.5×1.6×
Mikiyasu Sakanaka · 1×
Citations per year

Countries citing papers authored by Aina Gotoh

Since Specialization
Citations

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

Fields of papers citing papers by Aina Gotoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019165
2 2020131
3 2019127
4 2018123
5 198484
6 201784
7 202272
8 202256
9 201754
10 202053
11 201753
12 201632
13 202031
14 201731
15 201429
16 202124
17 200924
18
Diversification of a Fucosyllactose Transporter within the Genus <i>Bifidobacterium</i>
202222
19 201319
20 201518

About Aina Gotoh

Aina Gotoh is a scholar working on Molecular Biology, Nutrition and Dietetics, Food Science, Genetics and Organic Chemistry, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (14 papers), Infant Nutrition and Health (13 papers), Gut microbiota and health (12 papers), Digestive system and related health (5 papers), Microtubule and mitosis dynamics (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Nutrition and Dietetics (629 citations), Food Science (410 citations), Molecular Biology (794 citations), Pharmacy (56 citations) and Genetics (278 citations). Aina Gotoh has collaborated with scholars based in Japan, Denmark and United States. Frequent co-authors include Takane Katayama, Mikiyasu Sakanaka, Toshihiko Katoh, Motomitsu Kitaoka, Shin Kurihara, Jin‐zhong Xiao, Toshitaka Odamaki, Keisuke Yoshida, Yuta Sugiyama and Junko Hirose. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Journal of Biological Chemistry, eLife, Gut Microbes and Frontiers in 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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