Shohei Komaki
- Ecological Modeling top 5%
- Species Distribution and Climate Change 7
- Genetics top 10%
- Genetic diversity and population structure 6
- Global and Planetary Change top 10%
- Amphibian and Reptile Biology 14
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- Epigenetics and DNA Methylation 10
- Genomics and Phylogenetic Studies 5
- Identification and Quantification in Food 4
- Molecular Biology Techniques and Applications 4
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- Physiological and biochemical adaptations 4
- Co-authors
- Takeshi IgawaKoji TojoSi‐Min LinAtsushi ShimizuMasayuki SumidaMakoto SasakiKazuki SekinéSean D. Schoville
- Cited by
- Ecological ModelingGeneticsAging
- Journals
- Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Shohei Komaki
38 papers receiving 582 citations
Peers
Comparison fields: 5 of 95
- Ecological Modeling 75
- Genetics 198
- Aging 12
- Ecology, Evolution, Behavior and Systematics 126
- Global and Planetary Change 112
Countries citing papers authored by Shohei Komaki
This map shows the geographic impact of Shohei Komaki'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 Shohei Komaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shohei Komaki more than expected).
Fields of papers citing papers by Shohei Komaki
This network shows the impact of papers produced by Shohei Komaki. 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 Shohei Komaki. The network helps show where Shohei Komaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shohei Komaki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 16 | |
| 10 | 2022 | 21 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 10 | |
| 14 | 2019 | 5 | |
| 15 | 2018 | 11 | |
| 16 | 2017 | 92 | |
| 17 | 2017 | 29 | |
| 18 | 2017 | 28 | |
| 19 | 2016 | 9 | |
| 20 | 2016 | 11 |
About Shohei Komaki
Shohei Komaki is a scholar working on Ecological Modeling, Global and Planetary Change and Genetics, having authored 43 papers that have together received 587 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (14 papers), Epigenetics and DNA Methylation (10 papers), Species Distribution and Climate Change (7 papers), Genetic diversity and population structure (6 papers), Genomics and Phylogenetic Studies (5 papers), Identification and Quantification in Food (4 papers), Physiological and biochemical adaptations (4 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Ecological Modeling (75 citations), Genetics (198 citations) and Aging (12 citations). Shohei Komaki has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Takeshi Igawa, Koji Tojo, Si‐Min Lin, Atsushi Shimizu, Masayuki Sumida, Makoto Sasaki, Kazuki Sekiné, Sean D. Schoville, Tomoya Suzuki and Tsuyoshi Hachiya. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.