Atsushi Tero
- Biomedical Engineering top 2%
- Ecology, Evolution, Behavior and Systematics top 1%
- Plant Science top 5%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Co-authors
- Toshiyuki NakagakiRyo KobayashiTetsu SaigusaSeiji TakagiDaniel P. BebberKentaro ItoMark D. FrickerYoshiki Kuramoto
- Topics
- Slime Mold and Myxomycetes Research (18 papers)Biocrusts and Microbial Ecology (13 papers)Plant and Biological Electrophysiology Studies (12 papers)
In The Last Decade
Atsushi Tero
25 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Biomedical Engineering 1.4k
- Ecology, Evolution, Behavior and Systematics 823
- Plant Science 760
- Computational Theory and Mathematics 172
- Molecular Biology 146
Countries citing papers authored by Atsushi Tero
This map shows the geographic impact of Atsushi Tero'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 Atsushi Tero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Tero more than expected).
Fields of papers citing papers by Atsushi Tero
This network shows the impact of papers produced by Atsushi Tero. 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 Atsushi Tero. The network helps show where Atsushi Tero may publish in the future.
Co-authorship network of co-authors of Atsushi Tero
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Tero. A scholar is included among the top collaborators of Atsushi Tero 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 Atsushi Tero. Atsushi Tero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 8 | |
| 4 | 28 | |
| 5 | 29 | |
| 6 | 135 | |
| 7 | 37 | |
| 8 | 6 | |
| 9 | 19 | |
| 10 | Rules for Biologically Inspired Adaptive Network Designbreakdown → | 557 |
| 11 | 6 | |
| 12 | 66 | |
| 13 | 226 | |
| 14 | 131 | |
| 15 | 11 | |
| 16 | 136 | |
| 17 | 71 | |
| 18 | 243 | |
| 19 | Mathematical model for rhythmic amoeboid movement in the true slime mold | 4 |
| 20 | 47 |
About Atsushi Tero
Atsushi Tero is a scholar working on Ecology, Evolution, Behavior and Systematics, Biomedical Engineering and Physiology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Slime Mold and Myxomycetes Research (18 papers), Biocrusts and Microbial Ecology (13 papers) and Plant and Biological Electrophysiology Studies (12 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (823 citations), Biomedical Engineering (1.4k citations) and Plant Science (760 citations). Atsushi Tero has collaborated with scholars based in Japan, Sweden and Germany. Frequent co-authors include Toshiyuki Nakagaki, Ryo Kobayashi, Tetsu Saigusa, Seiji Takagi, Daniel P. Bebber, Kentaro Ito, Mark D. Fricker, Yoshiki Kuramoto, Akio Ishiguro and Takeshi Kano. Their work appears in journals such as Science, Physical Review Letters 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.