Yutaka Kikuchi
- Molecular Biology top 5%
- Cell Biology top 2%
- Genetics top 5%
- Immunology top 10%
- Cancer Research top 10%
- Co-authors
- Didier Y. R. StainierJeremy F. ReiterAtsushi KuroiwaTakamasa MizoguchiDeborah YelonJ. Steven AlexanderNobuyoshi ShimodaHeather Verkade
- Topics
- Zebrafish Biomedical Research Applications (19 papers)Developmental Biology and Gene Regulation (15 papers)Congenital heart defects research (14 papers)
- Partner nations
- JapanUnited StatesSri Lanka
In The Last Decade
Yutaka Kikuchi
95 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.9k
- Cell Biology 627
- Genetics 365
- Immunology 276
- Cancer Research 227
Countries citing papers authored by Yutaka Kikuchi
This map shows the geographic impact of Yutaka Kikuchi'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 Yutaka Kikuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Kikuchi more than expected).
Fields of papers citing papers by Yutaka Kikuchi
This network shows the impact of papers produced by Yutaka Kikuchi. 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 Yutaka Kikuchi. The network helps show where Yutaka Kikuchi may publish in the future.
Co-authorship network of co-authors of Yutaka Kikuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Kikuchi. A scholar is included among the top collaborators of Yutaka Kikuchi 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 Yutaka Kikuchi. Yutaka Kikuchi 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 | 6 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | UGT1A1 genotype-specific phase I and pharmacokinetic study for combination chemotherapy with irinotecan and cisplatin: a Saitama Tumor Board study. | 5 |
| 9 | 41 | |
| 10 | 32 | |
| 11 | 1 | |
| 12 | Inferring the Internet topology in Japan through end-to-end latency measurement | 1 |
| 13 | 25 | |
| 14 | A Study of an Interoperability Test Activity of Heterogeneous Routing Equipments -- For smooth deployment of a new network architecture | 1 |
| 15 | 71 | |
| 16 | 87 | |
| 17 | 37 | |
| 18 | 17 | |
| 19 | 59 | |
| 20 | 8 |
About Yutaka Kikuchi
Yutaka Kikuchi is a scholar working on Cell Biology, Microbiology and Molecular Biology, having authored 98 papers that have together received 2.7k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (19 papers), Developmental Biology and Gene Regulation (15 papers) and Congenital heart defects research (14 papers). The work is most often cited by research in Cell Biology (627 citations), Molecular Biology (1.9k citations) and Developmental Neuroscience (75 citations). Yutaka Kikuchi has collaborated with scholars based in Japan, United States and Sri Lanka. Frequent co-authors include Didier Y. R. Stainier, Jeremy F. Reiter, Atsushi Kuroiwa, Takamasa Mizoguchi, Deborah Yelon, J. Steven Alexander, Nobuyoshi Shimoda, Heather Verkade, Hitoshi Okamoto and Toshiaki Izawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.