Naoki Tsukuda

587 total citations · 1 hit paper
8 papers, 402 citations indexed

About

Naoki Tsukuda is a scholar working on Molecular Biology, Nutrition and Dietetics and Biomedical Engineering. According to data from OpenAlex, Naoki Tsukuda has authored 8 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Nutrition and Dietetics and 3 papers in Biomedical Engineering. Recurrent topics in Naoki Tsukuda's work include Gut microbiota and health (5 papers), Infant Nutrition and Health (4 papers) and Biofuel production and bioconversion (3 papers). Naoki Tsukuda is often cited by papers focused on Gut microbiota and health (5 papers), Infant Nutrition and Health (4 papers) and Biofuel production and bioconversion (3 papers). Naoki Tsukuda collaborates with scholars based in Japan. Naoki Tsukuda's co-authors include Y. Watanabe, Takahiro Matsuki, T. Hara, Satoshi Matsumoto, Hirokazu Tsuji, Koichi Higashi, Hiroshi Mori, Katsumi Nakao, Makoto Yoshimoto and Kimitoshi Fukunaga and has published in prestigious journals such as Applied and Environmental Microbiology, The ISME Journal and Ultrasonics Sonochemistry.

In The Last Decade

Naoki Tsukuda

8 papers receiving 392 citations

Hit Papers

Key bacterial taxa and metabolic pathways affecting gut s... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Naoki Tsukuda Japan 7 238 122 83 78 59 8 402
Johannes Aarnikunnas Finland 8 346 1.5× 111 0.9× 190 2.3× 63 0.8× 72 1.2× 9 586
Kenichi Hojo Japan 10 309 1.3× 149 1.2× 232 2.8× 38 0.5× 51 0.9× 22 711
Laetitia Rodes Canada 12 380 1.6× 108 0.9× 180 2.2× 101 1.3× 145 2.5× 16 696
Maria Louise Leth Denmark 8 387 1.6× 196 1.6× 156 1.9× 59 0.8× 74 1.3× 10 588
Eoin Barrett Ireland 7 262 1.1× 142 1.2× 114 1.4× 34 0.4× 48 0.8× 7 373
C.M. Bellato Brazil 12 175 0.7× 70 0.6× 82 1.0× 31 0.4× 54 0.9× 17 815
Л. М. Лазаренко Ukraine 12 301 1.3× 93 0.8× 174 2.1× 50 0.6× 112 1.9× 37 612
Y. Iwami Japan 14 241 1.0× 85 0.7× 89 1.1× 78 1.0× 75 1.3× 28 736
Hiroto Morita Japan 11 266 1.1× 42 0.3× 90 1.1× 18 0.2× 57 1.0× 17 353
Nathalie Roland France 11 188 0.8× 263 2.2× 177 2.1× 33 0.4× 39 0.7× 14 520

Countries citing papers authored by Naoki Tsukuda

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Tsukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Tsukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Tsukuda. A scholar is included among the top collaborators of Naoki Tsukuda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naoki Tsukuda. Naoki Tsukuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Shiroma, Hirotsugu, Youssef Darzi, Naoki Tsukuda, et al.. (2024). Enteropathway: the metabolic pathway database for the human gut microbiota. Briefings in Bioinformatics. 25(5). 1 indexed citations
2.
Watanabe, Y., T. Hara, Naoki Tsukuda, et al.. (2023). Characterization of Bifidobacterium kashiwanohense that utilizes both milk- and plant-derived oligosaccharides. Gut Microbes. 15(1). 2207455–2207455. 8 indexed citations
3.
Tsukuda, Naoki, T. Hara, Y. Watanabe, et al.. (2021). Key bacterial taxa and metabolic pathways affecting gut short-chain fatty acid profiles in early life. The ISME Journal. 15(9). 2574–2590. 203 indexed citations breakdown →
4.
Watanabe, Y., T. Hara, Naoki Tsukuda, et al.. (2021). Xylan utilisation promotes adaptation of Bifidobacterium pseudocatenulatum to the human gastrointestinal tract. ISME Communications. 1(1). 62–62. 29 indexed citations
5.
Watanabe, Y., Naoki Tsukuda, T. Hara, et al.. (2020). Multiple Transporters and Glycoside Hydrolases Are Involved in Arabinoxylan-Derived Oligosaccharide Utilization in Bifidobacterium pseudocatenulatum. Applied and Environmental Microbiology. 86(24). 29 indexed citations
6.
Tauchi, Hisamichi, K. Tanigawa, T. Hara, et al.. (2019). Gut microbiota development of preterm infants hospitalised in intensive care units. Beneficial Microbes. 10(6). 641–652. 31 indexed citations
7.
Li, Chengzhou, Makoto Yoshimoto, Haruki Ogata, et al.. (2004). Effects of ultrasonic intensity and reactor scale on kinetics of enzymatic saccharification of various waste papers in continuously irradiated stirred tanks. Ultrasonics Sonochemistry. 12(5). 373–384. 65 indexed citations
8.
Li, Chengzhou, Makoto Yoshimoto, Naoki Tsukuda, Kimitoshi Fukunaga, & Katsumi Nakao. (2004). A kinetic study on enzymatic hydrolysis of a variety of pulps for its enhancement with continuous ultrasonic irradiation. Biochemical Engineering Journal. 19(2). 155–164. 36 indexed citations

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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