Jun Ohno
Impact in
Papers in
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- RNA Interference and Gene Delivery 8
- Glycosylation and Glycoproteins Research 4
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- Bone Tissue Engineering Materials 6
- Co-authors
- Tadao Fukushima (16 shared papers)Hirofumi Kido (10 shared papers)Ayako Sato (5 shared papers)Yuichiro Yamaguchi (2 shared papers)Minoru Kawaguchi (11 shared papers)Kunihisa Taniguchi (11 shared papers)Hiroshi Kajiya (16 shared papers)Masako Toda (2 shared papers)
- Journals
- Journal of Biomedical Materials Research Part B Applied Biomaterials (4 papers)Diagnostic Pathology (2 papers)Archives of Oral Biology (2 papers)International Journal of Nanomedicine (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Jun Ohno
57 papers receiving 758 citations
Peers
Comparison fields: 5 of 100
- Genetics 117
- Urology 52
- Oral Surgery 50
- Biomaterials 95
- Biomedical Engineering 280
Countries citing papers authored by Jun Ohno
This map shows the geographic impact of Jun Ohno'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 Ohno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ohno more than expected).
Fields of papers citing papers by Jun Ohno
This network shows the impact of papers produced by Jun Ohno. 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 Ohno. The network helps show where Jun Ohno may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ohno, 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 | 2014 | 153 | |
| 2 | 2019 | 39 | |
| 3 | 2010 | 33 | |
| 4 | 2014 | 32 | |
| 5 | 2021 | 29 | |
| 6 | 2010 | 28 | |
| 7 | 2013 | 25 | |
| 8 | 2009 | 23 | |
| 9 | 2020 | 23 | |
| 10 | 2010 | 22 | |
| 11 | 2011 | 21 | |
| 12 | 2018 | 20 | |
| 13 | 2011 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2012 | 17 | |
| 16 | 2014 | 16 | |
| 17 | Use of the monoclonal antibody M30 for detecting HSG cell apoptosis. | 2000 | 16 |
| 18 | 2008 | 15 | |
| 19 | 2012 | 15 | |
| 20 | 2021 | 15 |
About Jun Ohno
Jun Ohno is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Oncology and Immunology, having authored 60 papers that have together received 775 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (10 papers), RNA Interference and Gene Delivery (8 papers), Bone Tissue Engineering Materials (6 papers), Glycosylation and Glycoproteins Research (4 papers), Bone and Dental Protein Studies (4 papers), Oral and Maxillofacial Pathology (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Carbon Nanotubes in Composites (4 papers). The work is most often cited by research in Genetics (117 citations), Urology (52 citations), Oral Surgery (50 citations), Biomaterials (95 citations) and Biomedical Engineering (280 citations). Jun Ohno has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Tadao Fukushima, Hirofumi Kido, Ayako Sato, Yuichiro Yamaguchi, Minoru Kawaguchi, Kunihisa Taniguchi, Hiroshi Kajiya, Masako Toda, Tohru Hayakawa and Jun Yamazaki. Their work appears in journals such as Journal of Biomedical Materials Research Part B Applied Biomaterials, Diagnostic Pathology, Archives of Oral Biology, International Journal of Nanomedicine and Biochemical and Biophysical Research Communications.
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.