Tetsuhiro Harimoto
Impact in
- Biotechnology top 2%
- Cancer Research and Treatments
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics
- 3D Printing in Biomedical Research
Papers in
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- Cancer Research and Treatments 7
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- 3D Printing in Biomedical Research 6
- Nanoplatforms for cancer theranostics 3
- Biomedical and Engineering Education 1
- Co-authors
- Tal Danino (7 shared papers)Jaeseung Hahn (2 shared papers)Kam W. Leong (2 shared papers)Courtney Coker (3 shared papers)Jongwon Im (2 shared papers)Nicholas Hou (2 shared papers)Kelly Pu (2 shared papers)Joanna Zhang (2 shared papers)
- Journals
- Nature Biomedical Engineering (1 paper)iScience (1 paper)Scientific Reports (1 paper)Emerging Topics in Life Sciences (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesDenmark
In The Last Decade
Tetsuhiro Harimoto
9 papers receiving 451 citations
Tetsuhiro Harimoto's Hit Papers
Peers
Comparison fields: 5 of 70
- Biotechnology 252
- Biomedical Engineering 262
- Drug Discovery 1
- Ecology 81
- Genetics 70
Countries citing papers authored by Tetsuhiro Harimoto
This map shows the geographic impact of Tetsuhiro Harimoto'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 Tetsuhiro Harimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuhiro Harimoto more than expected).
Fields of papers citing papers by Tetsuhiro Harimoto
This network shows the impact of papers produced by Tetsuhiro Harimoto. 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 Tetsuhiro Harimoto. The network helps show where Tetsuhiro Harimoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Tetsuhiro Harimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A programmable encapsulation system improves delivery of therapeutic bacteria in mice Hit paper breakdown → | 2022 | 171 |
| 2 | 2021 | 106 | |
| 3 | 2023 | 60 | |
| 4 | 2019 | 29 | |
| 5 | 2020 | 25 | |
| 6 | 2022 | 21 | |
| 7 | 2019 | 19 | |
| 8 | 2025 | 16 | |
| 9 | 2022 | 7 |
About Tetsuhiro Harimoto
Tetsuhiro Harimoto is a scholar working on Biotechnology, Biomedical Engineering, Ecology, Molecular Biology and Oncology, having authored 9 papers that have together received 454 indexed citations. Recurring topics across this work include Cancer Research and Treatments (7 papers), 3D Printing in Biomedical Research (6 papers), Bacteriophages and microbial interactions (4 papers), Nanoplatforms for cancer theranostics (3 papers), CAR-T cell therapy research (1 paper), Virus-based gene therapy research (1 paper), CRISPR and Genetic Engineering (1 paper) and Biomedical and Engineering Education (1 paper). The work is most often cited by research in Biotechnology (252 citations), Biomedical Engineering (262 citations), Drug Discovery (1 citation), Ecology (81 citations) and Genetics (70 citations). Tetsuhiro Harimoto has collaborated with scholars based in United States and Denmark. Frequent co-authors include Tal Danino, Jaeseung Hahn, Kam W. Leong, Courtney Coker, Jongwon Im, Nicholas Hou, Kelly Pu, Joanna Zhang, Yuyu Chen and Sreyan Chowdhury. Their work appears in journals such as Nature Biomedical Engineering, iScience, Scientific Reports, Emerging Topics in Life Sciences and Proceedings of the National Academy of 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.