U Koshimizu
- Immunology top 5%
- Molecular Biology
- Hematology top 5%
- Rheumatology top 5%
- Cell Biology top 10%
- Co-authors
- Tohru TsujimuraT. TonoT FuritsuHiroyuki SugaharaHirokazu IkedaH KitayamaLeonie K. AshmanYoshio Kanayama
- Topics
- Mast cells and histamine (6 papers)Cell Adhesion Molecules Research (5 papers)Reproductive Biology and Fertility (2 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
U Koshimizu
15 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Immunology 657
- Molecular Biology 371
- Hematology 194
- Rheumatology 165
- Cell Biology 156
Countries citing papers authored by U Koshimizu
This map shows the geographic impact of U Koshimizu'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 U Koshimizu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U Koshimizu more than expected).
Fields of papers citing papers by U Koshimizu
This network shows the impact of papers produced by U Koshimizu. 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 U Koshimizu. The network helps show where U Koshimizu may publish in the future.
Co-authorship network of co-authors of U Koshimizu
This figure shows the co-authorship network connecting the top 25 collaborators of U Koshimizu. A scholar is included among the top collaborators of U Koshimizu 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 U Koshimizu. U Koshimizu 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 | 47 | |
| 3 | 99 | |
| 4 | Wn mutation of c-kit receptor affects its post-translational processing and extracellular expression. | 13 |
| 5 | Cell type-specific deficiency of c-kit gene expression in mutant mice of mi/mi genotype. | 60 |
| 6 | In utero and mammary transfer of hantavirus antibody from dams to infant rats. | 29 |
| 7 | 12 | |
| 8 | Identification of mutations in the coding sequence of the proto-oncogene c-kit in a human mast cell leukemia cell line causing ligand-independent activation of c-kit product.breakdown → | 677 |
| 9 | 35 | |
| 10 | 28 | |
| 11 | Counteraction by combined treatment with high dose of oestrogen and somatostatin of mammary growth suppression in mice. | 0 |
| 12 | 63 | |
| 13 | 3 | |
| 14 | 17 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | Mammary gland growth and response to hormones in mastomys compared with mice. | 0 |
| 18 | 1 |
About U Koshimizu
U Koshimizu is a scholar working on Immunology and Allergy, Immunology and Reproductive Medicine, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mast cells and histamine (6 papers), Cell Adhesion Molecules Research (5 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Immunology (657 citations), Immunology and Allergy (146 citations) and Hematology (194 citations). U Koshimizu has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Tohru Tsujimura, T. Tono, T Furitsu, Hiroyuki Sugahara, Hirokazu Ikeda, H Kitayama, Leonie K. Ashman, Yoshio Kanayama, Joseph H. Butterfield and Yoshitake Nishimune. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.
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.