Y. Kuroda
- Co-authors
- Hiroaki KonishiKatsuyuki TamaiH. TezukaS MatsuokaReiko NakagawaKoichi MoriKatsunori TataraT Suzue
- Topics
- DNA Repair Mechanisms (7 papers)RNA Interference and Gene Delivery (7 papers)Carcinogens and Genotoxicity Assessment (7 papers)
- Journals
- The Journal of ImmunologyThe Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular Sciences
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Y. Kuroda
55 papers receiving 464 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 215
- Cancer Research 81
- Immunology 69
- Surgery 68
- Cell Biology 54
Countries citing papers authored by Y. Kuroda
This map shows the geographic impact of Y. Kuroda'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 Y. Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Kuroda more than expected).
Fields of papers citing papers by Y. Kuroda
This network shows the impact of papers produced by Y. Kuroda. 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 Y. Kuroda. The network helps show where Y. Kuroda may publish in the future.
Co-authorship network of co-authors of Y. Kuroda
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Kuroda. A scholar is included among the top collaborators of Y. Kuroda 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 Y. Kuroda. Y. Kuroda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | N-octanoylated ghrelin levels in cord and neonatal blood - Reply | 2 |
| 4 | A MEK inhibitor (U0126) markedly inhibits direct liver invasion of orthotopically inoculated human gallbladder cancer cells in nude mice. | 18 |
| 5 | O-7 Effects of the flame retardant, tetrabromobisphenol A on cultured rat embryos | 1 |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | Cell processing protocol for allogeneic peripheral blood stem cells mobilized by granulocyte colony-stimulating factor. | 19 |
| 10 | 14 | |
| 11 | 19 | |
| 12 | 31 | |
| 13 | [Useful cell lines other than mammalian ones (II)--Insect cell lines]. | 1 |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 17 | |
| 18 | 6 | |
| 19 | 5 | |
| 20 | 24 |
About Y. Kuroda
Y. Kuroda is a scholar working on Immunology and Allergy, Dermatology and Cancer Research, having authored 56 papers that have together received 502 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), RNA Interference and Gene Delivery (7 papers) and Carcinogens and Genotoxicity Assessment (7 papers). The work is most often cited by research in Cancer Research (81 citations), Immunology and Allergy (31 citations) and Hematology (49 citations). Y. Kuroda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroaki Konishi, Katsuyuki Tamai, H. Tezuka, S Matsuoka, Reiko Nakagawa, Koichi Mori, Katsunori Tatara, T Suzue, Yuko Kawano and Koji Yasutomo. Their work appears in journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and International Journal of Molecular Sciences.
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.