Naoki Kiyosawa
- Molecular Biology
- Cancer Research top 10%
- Pharmacology top 5%
- Plant Science
- Computational Theory and Mathematics top 5%
- Co-authors
- Takashi YamotoSunao ManabeKazumi ItoAtsushi OnoToshikazu MiyagishimaTetsuro UrushidaniTakeki UeharaKo Omura
- Topics
- Pharmacogenetics and Drug Metabolism (10 papers)Metabolomics and Mass Spectrometry Studies (9 papers)Gene expression and cancer classification (7 papers)
- Journals
- International Journal of Molecular SciencesJournal of Pharmacology and Experimental TherapeuticsBiochemical Pharmacology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Naoki Kiyosawa
46 papers receiving 839 citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 475
- Cancer Research 165
- Pharmacology 150
- Plant Science 142
- Computational Theory and Mathematics 135
Countries citing papers authored by Naoki Kiyosawa
This map shows the geographic impact of Naoki Kiyosawa'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 Naoki Kiyosawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Kiyosawa more than expected).
Fields of papers citing papers by Naoki Kiyosawa
This network shows the impact of papers produced by Naoki Kiyosawa. 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 Naoki Kiyosawa. The network helps show where Naoki Kiyosawa may publish in the future.
Co-authorship network of co-authors of Naoki Kiyosawa
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Kiyosawa. A scholar is included among the top collaborators of Naoki Kiyosawa 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 Naoki Kiyosawa. Naoki Kiyosawa 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 | 11 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 16 | |
| 7 | 10 | |
| 8 | 24 | |
| 9 | 33 | |
| 10 | 24 | |
| 11 | 15 | |
| 12 | 35 | |
| 13 | 15 | |
| 14 | 57 | |
| 15 | 19 | |
| 16 | 22 | |
| 17 | 26 | |
| 18 | 58 | |
| 19 | 14 | |
| 20 | 2 |
About Naoki Kiyosawa
Naoki Kiyosawa is a scholar working on Pharmacology, Biochemistry and Cancer Research, having authored 46 papers that have together received 859 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Gene expression and cancer classification (7 papers). The work is most often cited by research in Pharmacology (150 citations), Cancer Research (165 citations) and Computational Theory and Mathematics (135 citations). Naoki Kiyosawa has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Takashi Yamoto, Sunao Manabe, Kazumi Ito, Atsushi Ono, Toshikazu Miyagishima, Tetsuro Urushidani, Takeki Uehara, Ko Omura, Mitsuhiro Hirode and Kunio Doi. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Pharmacology and Experimental Therapeutics and Biochemical Pharmacology.
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.