Takahisa Kimura
- Immunology top 2%
- Aquatic Science top 1%
- Molecular Biology
- Ecology top 10%
- Endocrinology top 2%
- Co-authors
- Mamoru YoshimizuYoshio EzuraYuto KameiMakoto TanakaKenichi TajimaTakashi AokiSyuzo EGUSATsutomu Watanabe
- Topics
- Aquaculture disease management and microbiota (72 papers)Identification and Quantification in Food (16 papers)Bacteriophages and microbial interactions (15 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Takahisa Kimura
99 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 75
- Immunology 936
- Aquatic Science 343
- Molecular Biology 338
- Ecology 259
- Endocrinology 209
Countries citing papers authored by Takahisa Kimura
This map shows the geographic impact of Takahisa Kimura'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 Takahisa Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahisa Kimura more than expected).
Fields of papers citing papers by Takahisa Kimura
This network shows the impact of papers produced by Takahisa Kimura. 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 Takahisa Kimura. The network helps show where Takahisa Kimura may publish in the future.
Co-authorship network of co-authors of Takahisa Kimura
This figure shows the co-authorship network connecting the top 25 collaborators of Takahisa Kimura. A scholar is included among the top collaborators of Takahisa Kimura 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 Takahisa Kimura. Takahisa Kimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 23 | |
| 9 | Lymphocystis Disease in Kurosoi Sebastes schlegeli and Hirame Paralichthys olivaceus in Hokkaido, Japan | 8 |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 14 | |
| 14 | Studies on the Causative Organisms of Vibriosis among the Pen-Cultured Coho Salmon Oncorhynchus kisutch in Japan | 4 |
| 15 | Studies on a New Virus (OMV) from Oncorhynchus masou. II, Oncogenic Nature | 40 |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 12 | |
| 20 | 11 |
About Takahisa Kimura
Takahisa Kimura is a scholar working on Immunology, Endocrinology and Aquatic Science, having authored 102 papers that have together received 1.3k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (72 papers), Identification and Quantification in Food (16 papers) and Bacteriophages and microbial interactions (15 papers). The work is most often cited by research in Aquatic Science (343 citations), Immunology (936 citations) and Endocrinology (209 citations). Takahisa Kimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Mamoru Yoshimizu, Yoshio Ezura, Yuto Kamei, Makoto Tanaka, Kenichi Tajima, Takashi Aoki, Syuzo EGUSA, Tsutomu Watanabe, Tomoo Sawabe and Hiroyuki Yamamoto. Their work appears in journals such as Antiviral Research, Fisheries Research and The Journal of General and Applied 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.