Kazuki Mori
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Plant Science top 5%
- Biotechnology top 2%
- Organic Chemistry top 10%
- Co-authors
- Satoru KuharaKosuke TashiroYasushi MorikawaWataru OgasawaraYosuke ShidaTakanori FurukawaM. MatsuiYoshihisa Ozoe
- Topics
- Genomics and Phylogenetic Studies (18 papers)Biofuel production and bioconversion (12 papers)Enzyme Production and Characterization (11 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Kazuki Mori
90 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 888
- Biomedical Engineering 400
- Plant Science 372
- Biotechnology 245
- Organic Chemistry 195
Countries citing papers authored by Kazuki Mori
This map shows the geographic impact of Kazuki Mori'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 Kazuki Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Mori more than expected).
Fields of papers citing papers by Kazuki Mori
This network shows the impact of papers produced by Kazuki Mori. 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 Kazuki Mori. The network helps show where Kazuki Mori may publish in the future.
Co-authorship network of co-authors of Kazuki Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Mori. A scholar is included among the top collaborators of Kazuki Mori 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 Kazuki Mori. Kazuki Mori 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | 38 | |
| 10 | 11 | |
| 11 | 58 | |
| 12 | 12 | |
| 13 | 17 | |
| 14 | 2 | |
| 15 | 27 | |
| 16 | 11 | |
| 17 | 27 | |
| 18 | Pheromone synthesis cxxii e tetradecenyl formate and z tetradecenyl formate potent sex pheromone mimics against the yellow peach moth | 1 |
| 19 | Synthesis of z 2 ochtoden 1 ol e 2 ochtoden 1 al and z 2 ochtoden 1 al the pheromone components of the boll weevil anthonomus grandis | 1 |
| 20 | Analytical research on rat galactosemic cataract, based on the relaxation time of nuclear magnetic resonance | 0 |
About Kazuki Mori
Kazuki Mori is a scholar working on Biotechnology, Food Science and Molecular Biology, having authored 96 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Biofuel production and bioconversion (12 papers) and Enzyme Production and Characterization (11 papers). The work is most often cited by research in Biotechnology (245 citations), Molecular Biology (888 citations) and Structural Biology (16 citations). Kazuki Mori has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Satoru Kuhara, Kosuke Tashiro, Yasushi Morikawa, Wataru Ogasawara, Yosuke Shida, Takanori Furukawa, M. Matsui, Yoshihisa Ozoe, Hirofumi Okada and Nobuyuki Kawahara. Their work appears in journals such as The Journal of Chemical Physics, PLoS ONE and The Plant Cell.
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.