K Yagami
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Infectious Diseases
- Genetics
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Fumihiro SugiyamaAkiyoshi FukamizuK MurakamiKeiji TanimotoKatsuya HiraiKeiko TaniguchiYuko SugiyamaToshio Watanabe
- Topics
- Virus-based gene therapy research (5 papers)Animal Virus Infections Studies (4 papers)Birth, Development, and Health (3 papers)
- Partner nations
- Japan
In The Last Decade
K Yagami
22 papers receiving 475 citations
Peers
Comparison fields: 5 of 63
- Cardiology and Cardiovascular Medicine 142
- Molecular Biology 137
- Infectious Diseases 97
- Genetics 92
- Endocrinology, Diabetes and Metabolism 72
Countries citing papers authored by K Yagami
This map shows the geographic impact of K Yagami'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 K Yagami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Yagami more than expected).
Fields of papers citing papers by K Yagami
This network shows the impact of papers produced by K Yagami. 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 K Yagami. The network helps show where K Yagami may publish in the future.
Co-authorship network of co-authors of K Yagami
This figure shows the co-authorship network connecting the top 25 collaborators of K Yagami. A scholar is included among the top collaborators of K Yagami 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 K Yagami. K Yagami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 20 | |
| 3 | 4 | |
| 4 | 37 | |
| 5 | Salt-sensitive aortic aneurysm and rupture in hypertensive transgenic mice that overproduce angiotensin II. | 55 |
| 6 | Acceleration of atherosclerotic lesions in transgenic mice with hypertension by the activated renin-angiotensin system. | 53 |
| 7 | 9 | |
| 8 | 0 | |
| 9 | Nephrogenesis and renovascular development in angiotensinogen-deficient mice. | 86 |
| 10 | Evaluation of coculture aggregation with TT2 cells for production of germline chimera. | 7 |
| 11 | Polymerase chain reaction for detection of rodent parvoviral contamination in cell lines and transplantable tumors. | 9 |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 45 | |
| 15 | Development of mouse oocytes superovulated at different ages. | 20 |
| 16 | 9 | |
| 17 | Renal insufficiency in mice experimentally infected with Yersinia pseudotuberculosis. | 2 |
| 18 | 6 | |
| 19 | 17 | |
| 20 | 23 |
About K Yagami
K Yagami is a scholar working on Animal Science and Zoology, Genetics and Parasitology, having authored 23 papers that have together received 491 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (4 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Parasitology (46 citations), Cardiology and Cardiovascular Medicine (142 citations) and Animal Science and Zoology (60 citations). K Yagami has collaborated with scholars based in Japan. Frequent co-authors include Fumihiro Sugiyama, Akiyoshi Fukamizu, K Murakami, Keiji Tanimoto, Katsuya Hirai, Keiko Taniguchi, Yuko Sugiyama, Toshio Watanabe, Michio Nagata and Yasuhiro Kon. Their work appears in journals such as Journal of Virology, Journal of General Virology and The Journal of Biochemistry.
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.