Ayaka Nakamura

797 citations
64 papers · 491 · h-index 12

Impact in

Papers in

    • Gut microbiota and health 10
    • Genomics, phytochemicals, and oxidative stress 4
    • Protein Hydrolysis and Bioactive Peptides 4
    • Probiotics and Fermented Foods 15

Ayaka Nakamura

50 papers receiving 482 citations

Peers

Ayaka Nakamura
Comparison fields: 5 of 107
  • Food Science 80
  • Aquatic Science 26
  • Aging 6
  • Molecular Biology 185
  • Biological Psychiatry 6
Replace Xiaoxiao Gao with:
Xiaoxiao Gao China
Evelyne Maes New Zealand
Shanshan Yang China
Huaqun Chen China
Xiaoting Luan China
Bit Na Kang United States
Sung Hyun Lee South Korea
Guangqi Gao China
Ayaka Nakamura relative to Xiaoxiao Gao China Xiaoxiao Gao's profile →
Citations per field
00.5×4.3×
Xiaoxiao Gao · 1×
Citations per year

Countries citing papers authored by Ayaka Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Ayaka Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201996
2 201751
3 201232
4 202130
5 200623
6 202120
7 201818
8 201315
9 202214
10 202213
11 202312
12 202112
13 202110
14 201810
15 20099
16 20218
17 20227
18 20227
19 20207
20 20246

About Ayaka Nakamura

Ayaka Nakamura is a scholar working on Molecular Biology, Food Science, Aquatic Science, Animal Science and Zoology and Nutrition and Dietetics, having authored 64 papers that have together received 491 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (15 papers), Gut microbiota and health (10 papers), Seaweed-derived Bioactive Compounds (7 papers), Meat and Animal Product Quality (6 papers), Microbial Metabolites in Food Biotechnology (5 papers), Animal Genetics and Reproduction (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). The work is most often cited by research in Food Science (80 citations), Aquatic Science (26 citations), Aging (6 citations), Molecular Biology (185 citations) and Biological Psychiatry (6 citations). Ayaka Nakamura has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Takashi Kuda, Hajime Takahashi, Bon Kimura, Masato Ohtsuka, Hiromi Miura, Masahiro Sato, Channabasavaiah B. Gurumurthy, Lynn B. Martin, Sanae Ogiwara and Courtney A. C. Coon. Their work appears in journals such as PLoS ONE, Food Bioscience, LWT, Biocatalysis and Agricultural Biotechnology and Food 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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