Jun‐ichiro Jo
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Nanoparticle-Based Drug Delivery
- Molecular Medicine top 10%
Papers in ⓘ
- Biomaterials 18
- Electrospun Nanofibers in Biomedical Applications 8
- Nanoparticle-Based Drug Delivery 6
- Urology 4
- Co-authors
- Yasuhiko Tabata (52 shared papers)Yuki Murata (8 shared papers)Ryusuke Tanaka (2 shared papers)Hiroyuki Kawata (1 shared paper)Yoshiko Uesugi (1 shared paper)Yoshihiko Saito (1 shared paper)Alan W. Flake (2 shared papers)Miho Watanabe (2 shared papers)
- Journals
- Tissue Engineering Part A (5 papers)Journal of Biomaterials Science Polymer Edition (5 papers)PLoS ONE (3 papers)Tissue Engineering (3 papers)Acta Biomaterialia (3 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Jun‐ichiro Jo
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Biomaterials 354
- Molecular Medicine 64
- Urology 67
- Genetics 102
- Pharmaceutical Science 57
Countries citing papers authored by Jun‐ichiro Jo
This map shows the geographic impact of Jun‐ichiro Jo'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 Jun‐ichiro Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ichiro Jo more than expected).
Fields of papers citing papers by Jun‐ichiro Jo
This network shows the impact of papers produced by Jun‐ichiro Jo. 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 Jun‐ichiro Jo. The network helps show where Jun‐ichiro Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐ichiro Jo, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 90 | |
| 2 | 2010 | 83 | |
| 3 | 2009 | 70 | |
| 4 | 2012 | 59 | |
| 5 | 2008 | 57 | |
| 6 | 2019 | 57 | |
| 7 | 2007 | 52 | |
| 8 | 2010 | 51 | |
| 9 | 2018 | 50 | |
| 10 | 2020 | 47 | |
| 11 | 2007 | 47 | |
| 12 | 2010 | 37 | |
| 13 | 2012 | 31 | |
| 14 | 2021 | 30 | |
| 15 | 2019 | 29 | |
| 16 | 2012 | 27 | |
| 17 | 2018 | 24 | |
| 18 | 2009 | 21 | |
| 19 | 2019 | 21 | |
| 20 | 2018 | 19 |
About Jun‐ichiro Jo
Jun‐ichiro Jo is a scholar working on Biomaterials, Urology, Genetics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (14 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Nanoplatforms for cancer theranostics (7 papers), Tissue Engineering and Regenerative Medicine (7 papers), Bone Tissue Engineering Materials (7 papers), Nanoparticle-Based Drug Delivery (6 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Biomaterials (354 citations), Molecular Medicine (64 citations), Urology (67 citations), Genetics (102 citations) and Pharmaceutical Science (57 citations). Jun‐ichiro Jo has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Yasuhiko Tabata, Yuki Murata, Ryusuke Tanaka, Hiroyuki Kawata, Yoshiko Uesugi, Yoshihiko Saito, Alan W. Flake, Miho Watanabe, Michio Kaneko and Yoko Nakamura. Their work appears in journals such as Tissue Engineering Part A, Journal of Biomaterials Science Polymer Edition, PLoS ONE, Tissue Engineering and Acta Biomaterialia.
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.