Tsuyoshi Kawano
- Organic Chemistry top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Aging top 0.5%
- Pharmacology top 5%
- Co-authors
- Tetsuya SatohKoji HiranoMasahiro MiuraYasuo KimuraAtsumi ShimadaShozo FujiokaK. MiyasakaTakashi Iwasaki
- Topics
- Genetics, Aging, and Longevity in Model Organisms (24 papers)Fungal Biology and Applications (11 papers)Circadian rhythm and melatonin (10 papers)
- Partner nations
- JapanUnited StatesBelarus
In The Last Decade
Tsuyoshi Kawano
70 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 110
- Organic Chemistry 695
- Molecular Biology 460
- Pulmonary and Respiratory Medicine 432
- Aging 294
- Pharmacology 251
Countries citing papers authored by Tsuyoshi Kawano
This map shows the geographic impact of Tsuyoshi Kawano'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 Tsuyoshi Kawano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Kawano more than expected).
Fields of papers citing papers by Tsuyoshi Kawano
This network shows the impact of papers produced by Tsuyoshi Kawano. 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 Tsuyoshi Kawano. The network helps show where Tsuyoshi Kawano may publish in the future.
Co-authorship network of co-authors of Tsuyoshi Kawano
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Kawano. A scholar is included among the top collaborators of Tsuyoshi Kawano 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 Tsuyoshi Kawano. Tsuyoshi Kawano 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 | 4 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 63 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 13 | |
| 9 | Effects of drip fertigation on yield and quality of leaf vegetables, and on efficiency of nitrogen fertilization in outdoor plant culture. | 4 |
| 10 | 28 | |
| 11 | 37 | |
| 12 | 28 | |
| 13 | 40 | |
| 14 | A New IGF-like Peptide Regulating the Fat Metabolism of the Nematode Caenorhabditis elegans | 1 |
| 15 | 5 | |
| 16 | 9 | |
| 17 | Gene Structures of the GGNG-Peptides Derived from Annelida and the Gene Products | 2 |
| 18 | 156 | |
| 19 | 33 | |
| 20 | 81 |
About Tsuyoshi Kawano
Tsuyoshi Kawano is a scholar working on Aging, Endocrine and Autonomic Systems and Pharmacology, having authored 74 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (24 papers), Fungal Biology and Applications (11 papers) and Circadian rhythm and melatonin (10 papers). The work is most often cited by research in Aging (294 citations), Endocrine and Autonomic Systems (210 citations) and Organic Chemistry (695 citations). Tsuyoshi Kawano has collaborated with scholars based in Japan, United States and Belarus. Frequent co-authors include Tetsuya Satoh, Koji Hirano, Masahiro Miura, Yasuo Kimura, Atsumi Shimada, Shozo Fujioka, K. Miyasaka, Takashi Iwasaki, Yohei Matsunaga and Rachel Burger. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and Blood.
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.