Tadao Kitagawa
- Molecular Biology
- Genetics top 10%
- Nature and Landscape Conservation top 10%
- Aquatic Science top 5%
- Ecology
- Co-authors
- Toshio OkazakiMotoi YoshiokaMasaaki KashiwagiSang-Rin JeonMasakazu WatanabeKiyoshi NaruseAkihiro ShimaHiroshi Mitani
- Topics
- Fish Ecology and Management Studies (19 papers)Genetic diversity and population structure (19 papers)Identification and Quantification in Food (17 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Tadao Kitagawa
35 papers receiving 404 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 208
- Genetics 192
- Nature and Landscape Conservation 137
- Aquatic Science 131
- Ecology 93
Countries citing papers authored by Tadao Kitagawa
This map shows the geographic impact of Tadao Kitagawa'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 Tadao Kitagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadao Kitagawa more than expected).
Fields of papers citing papers by Tadao Kitagawa
This network shows the impact of papers produced by Tadao Kitagawa. 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 Tadao Kitagawa. The network helps show where Tadao Kitagawa may publish in the future.
Co-authorship network of co-authors of Tadao Kitagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Tadao Kitagawa. A scholar is included among the top collaborators of Tadao Kitagawa 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 Tadao Kitagawa. Tadao Kitagawa 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 | 32 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | Extent of genetic introgression in wild populations of minami-medaka in the Nogawa River, Tokyo, Japan | 1 |
| 7 | 6 | |
| 8 | 14 | |
| 9 | Endangered fish habitat monitoring using a sensor network | 1 |
| 10 | Genetic analysis of wild Medaka (Oryzias latipes) populations in the Yamato River, Nara Prefecture, Japan: detection of the b allele responsible for the "himedaka" phenotype. Japan. | 5 |
| 11 | 17 | |
| 12 | 14 | |
| 13 | Distribution pattern of Cobitis (Telostei: Cobitidae) in northern Kyushu Island, Japan | 5 |
| 14 | 5 | |
| 15 | 23 | |
| 16 | 4 | |
| 17 | 73 | |
| 18 | 16 | |
| 19 | 19 | |
| 20 | Hereditary fructose intolerance caused by a nonsense mutation of the aldolase B gene. | 22 |
About Tadao Kitagawa
Tadao Kitagawa is a scholar working on Aquatic Science, Nature and Landscape Conservation and Genetics, having authored 37 papers that have together received 412 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (19 papers), Genetic diversity and population structure (19 papers) and Identification and Quantification in Food (17 papers). The work is most often cited by research in Aquatic Science (131 citations), Nature and Landscape Conservation (137 citations) and Genetics (192 citations). Tadao Kitagawa has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Toshio Okazaki, Motoi Yoshioka, Masaaki Kashiwagi, Sang-Rin Jeon, Masakazu Watanabe, Kiyoshi Naruse, Akihiro Shima, Hiroshi Mitani, Hiroyuki Takeda and Takuya Sakaguchi. Their work appears in journals such as Development, Scientific Reports and Journal of Cell Science.
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.