Keisuke Yano
- Molecular Biology
- Pollution top 2%
- Biomedical Engineering
- Health, Toxicology and Mutagenesis top 10%
- Plant Science
- Co-authors
- M. TakagiMasao FukudaYasunobu NagataMasahiro FukudaRyo OhtomoRyozo ImaiY. NagataIzumi Shibuya
- Topics
- Particle accelerators and beam dynamics (14 papers)Plasma Diagnostics and Applications (13 papers)Microbial bioremediation and biosurfactants (9 papers)
- Journals
- The Journal of Chemical PhysicsApplied and Environmental MicrobiologyBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Keisuke Yano
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 619
- Pollution 467
- Biomedical Engineering 149
- Health, Toxicology and Mutagenesis 135
- Plant Science 131
Countries citing papers authored by Keisuke Yano
This map shows the geographic impact of Keisuke Yano'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 Keisuke Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Yano more than expected).
Fields of papers citing papers by Keisuke Yano
This network shows the impact of papers produced by Keisuke Yano. 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 Keisuke Yano. The network helps show where Keisuke Yano may publish in the future.
Co-authorship network of co-authors of Keisuke Yano
This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Yano. A scholar is included among the top collaborators of Keisuke Yano 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 Keisuke Yano. Keisuke Yano 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 27 | |
| 9 | Exact Minimax Predictive Density for Sparse Count Data | 1 |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 29 | |
| 17 | 59 | |
| 18 | 47 | |
| 19 | Cloning and expression of Pseudomonas paucimobilis SYK-6 genes involved in the degradation of vanillate and protocatechuate in P. putida | 37 |
| 20 | LOW LATITUDE RED AURORA AND LOW ENERGY PROTONS IN VAN ALLEN BELT | 2 |
About Keisuke Yano
Keisuke Yano is a scholar working on Pollution, Statistics and Probability and Aerospace Engineering, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (14 papers), Plasma Diagnostics and Applications (13 papers) and Microbial bioremediation and biosurfactants (9 papers). The work is most often cited by research in Pollution (467 citations), Biotechnology (98 citations) and Health, Toxicology and Mutagenesis (135 citations). Keisuke Yano has collaborated with scholars based in Japan, United States and India. Frequent co-authors include M. Takagi, Masao Fukuda, Yasunobu Nagata, Masahiro Fukuda, Ryo Ohtomo, Ryozo Imai, Y. Nagata, Izumi Shibuya, Kazuhide Kimbara and Tatsunari Nishi. Their work appears in journals such as The Journal of Chemical Physics, Applied and Environmental Microbiology and Biochemical and Biophysical Research Communications.
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.