Jun Ohno

921 citations
59 papers · 791 · h-index 16

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Bone Tissue Engineering Materials
    • 3D Printing in Biomedical Research
    • Nanoplatforms for cancer theranostics

Papers in

Jun Ohno

57 papers receiving 764 citations

Peers

Jun Ohno
Comparison fields: 5 of 84
  • Genetics 101
  • Biomedical Engineering 301
  • Oral Surgery 34
  • Urology 39
  • Molecular Medicine 34
Replace Qingfeng Huang with:
Qingfeng Huang China
Oliver Felthaus Germany
Junqing Ma China
Kenji Izumi Japan
Nanxin Liu China
Nuo Zhou China
Quan Shi China
Salwa Suliman Norway
Mildred C. Embree United States
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Citations per field
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Citations per year

Countries citing papers authored by Jun Ohno

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Ohno Line = papers co-authored together Jun Ohno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014154
2 201940
3 201034
4 201432
5 201029
6 202129
7 201326
8 202026
9 200923
10 201022
11 201121
12 201119
13 201819
14 202118
15 201217
16
Use of the monoclonal antibody M30 for detecting HSG cell apoptosis.
200016
17 201416
18 202116
19 200815
20 201215

About Jun Ohno

Jun Ohno is a scholar working on Biomedical Engineering, Genetics, Oral Surgery, Periodontics and Urology, having authored 59 papers that have together received 791 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (11 papers), Mesenchymal stem cell research (6 papers), Glycosylation and Glycoproteins Research (4 papers), RNA Interference and Gene Delivery (4 papers), Nanoplatforms for cancer theranostics (4 papers), Autophagy in Disease and Therapy (4 papers), Periodontal Regeneration and Treatments (3 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Genetics (101 citations), Biomedical Engineering (301 citations), Oral Surgery (34 citations), Urology (39 citations) and Molecular Medicine (34 citations). Jun Ohno has collaborated with scholars based in Japan and United States. Frequent co-authors include Tadao Fukushima, Hirofumi Kido, Ayako Sato, Kunihisa Taniguchi, Hiroshi Kajiya, Tohru Hayakawa, Kazuhiko Okamura, Tsuyohiko Fujigaya, Yoshifumi Tajima and Yusuke Inoue. Their work appears in journals such as Journal of Biomedical Materials Research Part B Applied Biomaterials, Archives of Oral Biology, International Journal of Nanomedicine, Diagnostic Pathology 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.

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