Takahiro Matsuki
- Molecular Biology top 2%
- Food Science top 0.2%
- Nutrition and Dietetics top 0.5%
- Infectious Diseases top 2%
- Genetics top 5%
- Co-authors
- Ryuichiro TanakaKoichi WatanabeToshihiko TakadaJunji FujimotoHiroshi OyaizuKazumasa MatsumotoMasafumi FukudaT. Hara
- Topics
- Gut microbiota and health (24 papers)Probiotics and Fermented Foods (20 papers)Infant Nutrition and Health (9 papers)
- Partner nations
- JapanNetherlandsSri Lanka
In The Last Decade
Takahiro Matsuki
34 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 2.8k
- Food Science 1.6k
- Nutrition and Dietetics 1.1k
- Infectious Diseases 713
- Genetics 517
Countries citing papers authored by Takahiro Matsuki
This map shows the geographic impact of Takahiro Matsuki'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 Takahiro Matsuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahiro Matsuki more than expected).
Fields of papers citing papers by Takahiro Matsuki
This network shows the impact of papers produced by Takahiro Matsuki. 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 Takahiro Matsuki. The network helps show where Takahiro Matsuki may publish in the future.
Co-authorship network of co-authors of Takahiro Matsuki
This figure shows the co-authorship network connecting the top 25 collaborators of Takahiro Matsuki. A scholar is included among the top collaborators of Takahiro Matsuki 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 Takahiro Matsuki. Takahiro Matsuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Key bacterial taxa and metabolic pathways affecting gut short-chain fatty acid profiles in early lifebreakdown → | 203 |
| 3 | 20 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 20 | |
| 7 | 219 | |
| 8 | 271 | |
| 9 | 41 | |
| 10 | 66 | |
| 11 | 50 | |
| 12 | 117 | |
| 13 | 94 | |
| 14 | 263 | |
| 15 | 15 | |
| 16 | Group-specific PCR primers for the detection of human intestinal bacteria | 2 |
| 17 | 403 | |
| 18 | Genus- and species-specific PCR primers for the detection and identification of bifidobacteria. | 82 |
| 19 | 28 | |
| 20 | 132 |
About Takahiro Matsuki
Takahiro Matsuki is a scholar working on Food Science, Nutrition and Dietetics and Gastroenterology, having authored 36 papers that have together received 4.1k indexed citations. Recurring topics across this work include Gut microbiota and health (24 papers), Probiotics and Fermented Foods (20 papers) and Infant Nutrition and Health (9 papers). The work is most often cited by research in Food Science (1.6k citations), Nutrition and Dietetics (1.1k citations) and Gastroenterology (354 citations). Takahiro Matsuki has collaborated with scholars based in Japan, Netherlands and Sri Lanka. Frequent co-authors include Ryuichiro Tanaka, Koichi Watanabe, Toshihiko Takada, Junji Fujimoto, Hiroshi Oyaizu, Kazumasa Matsumoto, Masafumi Fukuda, T. Hara, Yukiko Miyamoto and Yukiko Kado. Their work appears in journals such as Nature Communications, PLoS ONE and Applied and Environmental 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.