Hitoshi Funabashi
- Molecular Biology
- Health, Toxicology and Mutagenesis top 10%
- Oncology
- Cellular and Molecular Neuroscience
- Genetics
- Co-authors
- Takeshi KunimatsuJuki KimuraTakaki SekiIzuru MiyawakiKiyoko BandoEiichiro FukusakiJun SakaiTakeshi Bamba
- Topics
- Drug Transport and Resistance Mechanisms (4 papers)Metabolomics and Mass Spectrometry Studies (3 papers)Pharmacogenetics and Drug Metabolism (3 papers)
- Journals
- Toxicology and Applied PharmacologyToxicology LettersMutation Research/Genetic Toxicology and Environmental Mutagenesis
- Partner nations
- JapanUnited States
In The Last Decade
Hitoshi Funabashi
27 papers receiving 577 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 279
- Health, Toxicology and Mutagenesis 84
- Oncology 70
- Cellular and Molecular Neuroscience 53
- Genetics 53
Countries citing papers authored by Hitoshi Funabashi
This map shows the geographic impact of Hitoshi Funabashi'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 Hitoshi Funabashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Funabashi more than expected).
Fields of papers citing papers by Hitoshi Funabashi
This network shows the impact of papers produced by Hitoshi Funabashi. 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 Hitoshi Funabashi. The network helps show where Hitoshi Funabashi may publish in the future.
Co-authorship network of co-authors of Hitoshi Funabashi
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Funabashi. A scholar is included among the top collaborators of Hitoshi Funabashi 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 Hitoshi Funabashi. Hitoshi Funabashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 15 | |
| 3 | 6 | |
| 4 | 44 | |
| 5 | 22 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 55 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 86 | |
| 15 | 47 | |
| 16 | 24 | |
| 17 | 24 | |
| 18 | 3 | |
| 19 | 28 | |
| 20 | 14 |
About Hitoshi Funabashi
Hitoshi Funabashi is a scholar working on Chemical Health and Safety, Pharmacology and Behavioral Neuroscience, having authored 28 papers that have together received 588 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (84 citations), Pharmacology (49 citations) and Molecular Biology (279 citations). Hitoshi Funabashi has collaborated with scholars based in Japan and United States. Frequent co-authors include Takeshi Kunimatsu, Juki Kimura, Takaki Seki, Izuru Miyawaki, Kiyoko Bando, Eiichiro Fukusaki, Jun Sakai, Takeshi Bamba, Hiroshi Inada and S Iwata. Their work appears in journals such as Toxicology and Applied Pharmacology, Toxicology Letters and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.
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.