Takeshi Igawa
- Ecological Modeling top 5%
- Species Distribution and Climate Change 8
- Global and Planetary Change top 5%
- Amphibian and Reptile Biology 32
- Genetics top 10%
- Genetic diversity and population structure 20
- Microbiology top 10%
- Antimicrobial Peptides and Activities 6
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- Genomics and Phylogenetic Studies 18
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- Aquaculture disease management and microbiota 8
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- Environmental DNA in Biodiversity Studies 7
- Physiological and biochemical adaptations 5
- Co-authors
- Masayuki SumidaAtsushi KurabayashiShohei KomakiMohammed Mafizul IslamMidori NishiokaTamotsu FujiiMohammad Shafiqul AlamTeruhiko Takahara
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (4 papers)Scientific Reports (2 papers)
- Partner nations
- JapanBangladeshAustralia
In The Last Decade
Takeshi Igawa
64 papers receiving 722 citations
Peers
Comparison fields: 5 of 86
- Ecological Modeling 121
- Global and Planetary Change 386
- Genetics 278
- Microbiology 49
- Nature and Landscape Conservation 76
Countries citing papers authored by Takeshi Igawa
This map shows the geographic impact of Takeshi Igawa'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 Takeshi Igawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Igawa more than expected).
Fields of papers citing papers by Takeshi Igawa
This network shows the impact of papers produced by Takeshi Igawa. 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 Takeshi Igawa. The network helps show where Takeshi Igawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takeshi Igawa, 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 | 2024 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 2 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 2 | |
| 9 | 2019 | 35 | |
| 10 | 2019 | 5 | |
| 11 | 2018 | 5 | |
| 12 | 2018 | 7 | |
| 13 | 2017 | 26 | |
| 14 | 2017 | 8 | |
| 15 | 2016 | 9 | |
| 16 | 2016 | 3 | |
| 17 | 2015 | 15 | |
| 18 | 2015 | 7 | |
| 19 | 2013 | 11 | |
| 20 | 2007 | 69 |
About Takeshi Igawa
Takeshi Igawa is a scholar working on Ecological Modeling, Global and Planetary Change and Genetics, having authored 68 papers that have together received 741 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (32 papers), Genetic diversity and population structure (20 papers), Genomics and Phylogenetic Studies (18 papers), Species Distribution and Climate Change (8 papers), Aquaculture disease management and microbiota (8 papers), Environmental DNA in Biodiversity Studies (7 papers), Antimicrobial Peptides and Activities (6 papers) and Physiological and biochemical adaptations (5 papers). The work is most often cited by research in Ecological Modeling (121 citations), Global and Planetary Change (386 citations) and Genetics (278 citations). Takeshi Igawa has collaborated with scholars based in Japan, Bangladesh and Australia. Frequent co-authors include Masayuki Sumida, Atsushi Kurabayashi, Shohei Komaki, Mohammed Mafizul Islam, Midori Nishioka, Tamotsu Fujii, Mohammad Shafiqul Alam, Teruhiko Takahara, Mitsuru Kuramoto and Yoko Satta. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.