Hikaru Yabuuchi
- Oncology top 2%
- Molecular Biology top 10%
- Clinical Biochemistry top 0.2%
- Pediatrics, Perinatology and Child Health top 2%
- Biochemistry top 0.5%
- Co-authors
- Ikumi TamaiYoshimichi SaiMiyuki ShimaneAsuka OkuAkira TsujiRikiya OhashiJun‐ichi NezuHidetada Shimizu
- Topics
- Drug Transport and Resistance Mechanisms (28 papers)Pharmacological Effects and Toxicity Studies (12 papers)Metabolism and Genetic Disorders (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Genetics
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Hikaru Yabuuchi
38 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Oncology 1.5k
- Molecular Biology 1.2k
- Clinical Biochemistry 1.1k
- Pediatrics, Perinatology and Child Health 653
- Biochemistry 536
Countries citing papers authored by Hikaru Yabuuchi
This map shows the geographic impact of Hikaru Yabuuchi'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 Hikaru Yabuuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hikaru Yabuuchi more than expected).
Fields of papers citing papers by Hikaru Yabuuchi
This network shows the impact of papers produced by Hikaru Yabuuchi. 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 Hikaru Yabuuchi. The network helps show where Hikaru Yabuuchi may publish in the future.
Co-authorship network of co-authors of Hikaru Yabuuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Hikaru Yabuuchi. A scholar is included among the top collaborators of Hikaru Yabuuchi 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 Hikaru Yabuuchi. Hikaru Yabuuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 435 | |
| 3 | 10 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 58 | |
| 7 | 23 | |
| 8 | 8 | |
| 9 | 30 | |
| 10 | 31 | |
| 11 | 36 | |
| 12 | 147 | |
| 13 | 47 | |
| 14 | 40 | |
| 15 | 43 | |
| 16 | 10 | |
| 17 | 45 | |
| 18 | 8 | |
| 19 | 120 | |
| 20 | Molecular and Functional Identification of Sodium Ion-dependent, High Affinity Human Carnitine Transporter OCTN2breakdown → | 584 |
About Hikaru Yabuuchi
Hikaru Yabuuchi is a scholar working on Clinical Biochemistry, Oncology and Pediatrics, Perinatology and Child Health, having authored 38 papers that have together received 3.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (28 papers), Pharmacological Effects and Toxicity Studies (12 papers) and Metabolism and Genetic Disorders (9 papers). The work is most often cited by research in Clinical Biochemistry (1.1k citations), Biochemistry (536 citations) and Oncology (1.5k citations). Hikaru Yabuuchi has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Ikumi Tamai, Yoshimichi Sai, Miyuki Shimane, Asuka Oku, Akira Tsuji, Rikiya Ohashi, Jun‐ichi Nezu, Akira Tsuji, Hidetada Shimizu and Eriko Sugimoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.
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.