Hiroko Toda
Impact in
- Biotechnology top 2%
- Enzyme Production and Characterization
- Molecular Biology top 10%
- Ion channel regulation and function
- RNA modifications and cancer
Papers in
-
- Biochemical and Structural Characterization 7
- RNA modifications and cancer 6
- Enzyme Catalysis and Immobilization 6
-
- Enzyme Production and Characterization 19
- Co-authors
- Kozo Narita (18 shared papers)Kiyoshi Kondo (12 shared papers)Koichi Yagi (5 shared papers)Michio Yazawa (5 shared papers)Chen-Yuan Lee (2 shared papers)Fumio Sakiyama (7 shared papers)Naohiko Seki (10 shared papers)Kosei Maemura (8 shared papers)
- Journals
- The Journal of Biochemistry (23 papers)Surgery Today (4 papers)Cancers (3 papers)Biochemical and Biophysical Research Communications (3 papers)Chemical and Pharmaceutical Bulletin (2 papers)
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Hiroko Toda
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Biotechnology 269
- Molecular Biology 938
- Cancer Research 203
- Genetics 247
- Cell Biology 102
Countries citing papers authored by Hiroko Toda
This map shows the geographic impact of Hiroko Toda'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 Hiroko Toda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroko Toda more than expected).
Fields of papers citing papers by Hiroko Toda
This network shows the impact of papers produced by Hiroko Toda. 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 Hiroko Toda. The network helps show where Hiroko Toda may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroko Toda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 106 | |
| 2 | 1981 | 100 | |
| 3 | 1982 | 91 | |
| 4 | 1982 | 82 | |
| 5 | 1982 | 76 | |
| 6 | 1981 | 61 | |
| 7 | 2019 | 53 | |
| 8 | 1986 | 46 | |
| 9 | 1980 | 45 | |
| 10 | 2018 | 44 | |
| 11 | 1985 | 41 | |
| 12 | 2018 | 38 | |
| 13 | 2018 | 38 | |
| 14 | 2021 | 37 | |
| 15 | 1991 | 34 | |
| 16 | 2019 | 27 | |
| 17 | 2019 | 25 | |
| 18 | 1978 | 25 | |
| 19 | 2020 | 24 | |
| 20 | 1989 | 24 |
About Hiroko Toda
Hiroko Toda is a scholar working on Molecular Biology, Biotechnology, Cancer Research, Plant Science and Surgery, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (19 papers), MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers), Phytase and its Applications (8 papers), Biochemical and Structural Characterization (7 papers), RNA modifications and cancer (6 papers), Enzyme Catalysis and Immobilization (6 papers) and Venomous Animal Envenomation and Studies (6 papers). The work is most often cited by research in Biotechnology (269 citations), Molecular Biology (938 citations), Cancer Research (203 citations), Genetics (247 citations) and Cell Biology (102 citations). Hiroko Toda has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Kozo Narita, Kiyoshi Kondo, Koichi Yagi, Michio Yazawa, Chen-Yuan Lee, Fumio Sakiyama, Naohiko Seki, Kosei Maemura, Tetsuya Idichi and Yuko Kijima. Their work appears in journals such as The Journal of Biochemistry, Surgery Today, Cancers, Biochemical and Biophysical Research Communications and Chemical and Pharmaceutical Bulletin.
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.