Nanako Shigesada
- Public Health, Environmental and Occupational Health top 0.5%
- Genetics top 1%
- Ecology top 1%
- Nature and Landscape Conservation top 1%
- Modeling and Simulation top 0.2%
- Co-authors
- Kohkichi KawasakiEi TeramotoPeter KareivaYasuhiko TakedaFugo TakasuK. KawasakiKatsumi TogashiAkira Ōkubo
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (22 papers)Evolution and Genetic Dynamics (18 papers)Ecology and Vegetation Dynamics Studies (11 papers)
- Cited by
- Modeling and SimulationNature and Landscape ConservationPublic Health, Environmental and Occupational Health
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Nanako Shigesada
50 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Public Health, Environmental and Occupational Health 1.7k
- Genetics 1.3k
- Ecology 1.3k
- Nature and Landscape Conservation 904
- Modeling and Simulation 812
Countries citing papers authored by Nanako Shigesada
This map shows the geographic impact of Nanako Shigesada'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 Nanako Shigesada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanako Shigesada more than expected).
Fields of papers citing papers by Nanako Shigesada
This network shows the impact of papers produced by Nanako Shigesada. 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 Nanako Shigesada. The network helps show where Nanako Shigesada may publish in the future.
Co-authorship network of co-authors of Nanako Shigesada
This figure shows the co-authorship network connecting the top 25 collaborators of Nanako Shigesada. A scholar is included among the top collaborators of Nanako Shigesada 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 Nanako Shigesada. Nanako Shigesada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 5 | |
| 4 | 36 | |
| 5 | 39 | |
| 6 | 85 | |
| 7 | 24 | |
| 8 | 88 | |
| 9 | 42 | |
| 10 | Local dynamics and global spread of pine wilt disease. | 4 |
| 11 | 112 | |
| 12 | 60 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | Modelling Biological Invasions | 0 |
| 16 | Simulation Study of Stratified Diffusion Model | 3 |
| 17 | 191 | |
| 18 | 22 | |
| 19 | 7 | |
| 20 | 34 |
About Nanako Shigesada
Nanako Shigesada is a scholar working on Modeling and Simulation, Nature and Landscape Conservation and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 4.3k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), Evolution and Genetic Dynamics (18 papers) and Ecology and Vegetation Dynamics Studies (11 papers). The work is most often cited by research in Modeling and Simulation (812 citations), Nature and Landscape Conservation (904 citations) and Public Health, Environmental and Occupational Health (1.7k citations). Nanako Shigesada has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Kohkichi Kawasaki, Ei Teramoto, Peter Kareiva, Yasuhiko Takeda, Fugo Takasu, K. Kawasaki, Katsumi Togashi, Akira Ōkubo, Mitsugu Matsushita and Tomoko Umeda. Their work appears in journals such as Ecology, The American Naturalist and Journal of Ecology.
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.