Kazuki Morioka
- Agronomy and Crop Science top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Molecular Biology
- Infectious Diseases
- Co-authors
- Katsuhiko FukaiKazuo YoshidaManabu YamadaTatsuya NishiToru KannoKenichi SakamotoSeiichi OhashiMakoto Yamakawa
- Topics
- Animal Disease Management and Epidemiology (36 papers)Viral Infections and Immunology Research (34 papers)Vector-Borne Animal Diseases (29 papers)
- Cited by
- Agronomy and Crop ScienceEcology, Evolution, Behavior and SystematicsCardiology and Cardiovascular Medicine
- Partner nations
- JapanMongoliaUnited States
In The Last Decade
Kazuki Morioka
40 papers receiving 359 citations
Peers
Comparison fields: 5 of 34
- Agronomy and Crop Science 299
- Cardiology and Cardiovascular Medicine 260
- Ecology, Evolution, Behavior and Systematics 229
- Molecular Biology 57
- Infectious Diseases 40
Countries citing papers authored by Kazuki Morioka
This map shows the geographic impact of Kazuki Morioka'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 Morioka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Morioka more than expected).
Fields of papers citing papers by Kazuki Morioka
This network shows the impact of papers produced by Kazuki Morioka. 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 Morioka. The network helps show where Kazuki Morioka may publish in the future.
Co-authorship network of co-authors of Kazuki Morioka
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Morioka. A scholar is included among the top collaborators of Kazuki Morioka 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 Morioka. Kazuki Morioka 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 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 20 | |
| 13 | 25 | |
| 14 | 4 | |
| 15 | 23 | |
| 16 | 20 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 13 |
About Kazuki Morioka
Kazuki Morioka is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 363 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (36 papers), Viral Infections and Immunology Research (34 papers) and Vector-Borne Animal Diseases (29 papers). The work is most often cited by research in Agronomy and Crop Science (299 citations), Ecology, Evolution, Behavior and Systematics (229 citations) and Cardiology and Cardiovascular Medicine (260 citations). Kazuki Morioka has collaborated with scholars based in Japan, Mongolia and United States. Frequent co-authors include Katsuhiko Fukai, Kazuo Yoshida, Manabu Yamada, Tatsuya Nishi, Toru Kanno, Kenichi Sakamoto, Seiichi Ohashi, Makoto Yamakawa, Kentaro Masujin and Tomoyuki Tsuda. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and Veterinary Microbiology.
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.