Kazuaki Kitano
- Molecular Biology top 10%
- Pharmacology top 5%
- Molecular Medicine top 2%
- Genetics
- Organic Chemistry top 10%
- Co-authors
- Alexander TomaszAkira ImadaKazuhiko KintakaMasayuki MuroiMitsuko AsaiA. M. ChakrabartyMitsuhiro YanagidaYasushi Shintani
- Topics
- Microbial Natural Products and Biosynthesis (10 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)Antibiotic Resistance in Bacteria (8 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kazuaki Kitano
52 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 764
- Pharmacology 230
- Molecular Medicine 182
- Genetics 170
- Organic Chemistry 169
Countries citing papers authored by Kazuaki Kitano
This map shows the geographic impact of Kazuaki Kitano'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 Kazuaki Kitano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuaki Kitano more than expected).
Fields of papers citing papers by Kazuaki Kitano
This network shows the impact of papers produced by Kazuaki Kitano. 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 Kazuaki Kitano. The network helps show where Kazuaki Kitano may publish in the future.
Co-authorship network of co-authors of Kazuaki Kitano
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuaki Kitano. A scholar is included among the top collaborators of Kazuaki Kitano 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 Kazuaki Kitano. Kazuaki Kitano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 136 | |
| 2 | 179 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 15 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 80 | |
| 12 | 13 | |
| 13 | 36 | |
| 14 | Sulfazecin, a Novel β-Lactam Antibiotic of Bacterial Origin : Discovery, Fermentation and Biological Characterization | 6 |
| 15 | 1 | |
| 16 | Studies on the Production of β-Lactam Antibiotics | 1 |
| 17 | Comparative Study of Methionine Effect on Cephalosporin Production by Various Fungi | 1 |
| 18 | Screening for beta-lactam antibiotics using a mutant of Pseudomonas aeruginosa. | 3 |
| 19 | Alterations of lipid composition in the brains of msd mouse and jimpy mouse. | 0 |
| 20 | 1 |
About Kazuaki Kitano
Kazuaki Kitano is a scholar working on Molecular Medicine, Biotechnology and Pharmacology, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Antibiotic Resistance in Bacteria (8 papers). The work is most often cited by research in Molecular Medicine (182 citations), Pharmacology (230 citations) and Molecular Biology (764 citations). Kazuaki Kitano has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Alexander Tomasz, Akira Imada, Kazuhiko Kintaka, Masayuki Muroi, Mitsuko Asai, A. M. Chakrabarty, Mitsuhiro Yanagida, Yasushi Shintani, Minoru Yoshida and Kazunori Nishi. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Biotechnology.
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.