Kensuke Seto
Impact in
- Ecology top 10%
- Microbial Community Ecology and Physiology
- Environmental DNA in Biodiversity Studies
- Cell Biology top 10%
- Plant Pathogens and Fungal Diseases
Papers in
-
- Protist diversity and phylogeny 21
- Genomics and Phylogenetic Studies 8
- Ecology 14
- Microbial Community Ecology and Physiology 14
- Environmental DNA in Biodiversity Studies 4
- Co-authors
- Maiko Kagami (15 shared papers)Yousuke Degawa (7 shared papers)Silke Van den Wyngaert (4 shared papers)Keilor Rojas-Jiménez (3 shared papers)Hans‐Peter Grossart (3 shared papers)Christian Wurzbacher (3 shared papers)Timothy Y. James (7 shared papers)D. Rabern Simmons (4 shared papers)
- Journals
- Mycologia (4 papers)Protist (3 papers)Mycological Progress (3 papers)mBio (2 papers)Limnology and Oceanography (2 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Kensuke Seto
25 papers receiving 417 citations
Peers
Comparison fields: 5 of 40
- Ecology 207
- Cell Biology 125
- Parasitology 28
- Plant Science 165
- Molecular Biology 267
Countries citing papers authored by Kensuke Seto
This map shows the geographic impact of Kensuke Seto'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 Kensuke Seto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kensuke Seto more than expected).
Fields of papers citing papers by Kensuke Seto
This network shows the impact of papers produced by Kensuke Seto. 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 Kensuke Seto. The network helps show where Kensuke Seto may publish in the future.
Co-authors
The 25 scholars most cited alongside Kensuke Seto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 53 | |
| 2 | 2018 | 41 | |
| 3 | 2022 | 40 | |
| 4 | 2019 | 32 | |
| 5 | 2017 | 31 | |
| 6 | 2016 | 29 | |
| 7 | 2018 | 29 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2017 | 17 | |
| 13 | 2021 | 12 | |
| 14 | 2015 | 10 | |
| 15 | 1989 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2018 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 4 |
About Kensuke Seto
Kensuke Seto is a scholar working on Molecular Biology, Ecology, Plant Science, Cell Biology and Parasitology, having authored 29 papers that have together received 422 indexed citations. Recurring topics across this work include Protist diversity and phylogeny (21 papers), Microbial Community Ecology and Physiology (14 papers), Genomics and Phylogenetic Studies (8 papers), Plant Pathogens and Fungal Diseases (5 papers), Mycorrhizal Fungi and Plant Interactions (5 papers), Environmental DNA in Biodiversity Studies (4 papers), Parasitic Infections and Diagnostics (3 papers) and Plant Disease Management Techniques (2 papers). The work is most often cited by research in Ecology (207 citations), Cell Biology (125 citations), Parasitology (28 citations), Plant Science (165 citations) and Molecular Biology (267 citations). Kensuke Seto has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Maiko Kagami, Yousuke Degawa, Silke Van den Wyngaert, Keilor Rojas-Jiménez, Hans‐Peter Grossart, Christian Wurzbacher, Timothy Y. James, D. Rabern Simmons, Yong Guo and Judit Padisák. Their work appears in journals such as Mycologia, Protist, Mycological Progress, mBio and Limnology and Oceanography.
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.