Jae-Jun Ban
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Rehabilitation top 5%
- Wound Healing and Treatments
Papers in
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- Extracellular vesicles in disease 4
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- Neuroscience and Neural Engineering 4
- Genetic Neurodegenerative Diseases 3
- Co-authors
- Manho Kim (11 shared papers)Mijung Lee (9 shared papers)Wooseok Im (8 shared papers)Wooseok Im (2 shared papers)Norihiko Takeda (1 shared paper)Jung‐whan Kim (1 shared paper)Seungwon Yang (2 shared papers)Ki-Yoon Kim (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (5 papers)PLoS ONE (3 papers)Neurobiology of Disease (1 paper)Brain Research (1 paper)Scientific Reports (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Jae-Jun Ban
20 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 329
- Rehabilitation 108
- Genetics 157
- Molecular Biology 632
- Neurology 53
Countries citing papers authored by Jae-Jun Ban
This map shows the geographic impact of Jae-Jun Ban'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 Jae-Jun Ban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Jun Ban more than expected).
Fields of papers citing papers by Jae-Jun Ban
This network shows the impact of papers produced by Jae-Jun Ban. 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 Jae-Jun Ban. The network helps show where Jae-Jun Ban may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae-Jun Ban, 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 | 2015 | 192 | |
| 2 | 2014 | 173 | |
| 3 | 2016 | 131 | |
| 4 | 2016 | 122 | |
| 5 | 2018 | 122 | |
| 6 | 2017 | 53 | |
| 7 | 2014 | 44 | |
| 8 | 2018 | 40 | |
| 9 | 2017 | 39 | |
| 10 | 2017 | 33 | |
| 11 | 2013 | 32 | |
| 12 | 2014 | 9 | |
| 13 | 2017 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2016 | 5 | |
| 16 | 2009 | 5 | |
| 17 | 2024 | 2 | |
| 18 | 2009 | 2 | |
| 19 | Interpretation of the Optical Coherent Tomographic Findings in the Rabbit Eye with Implanted PMMA Retinal Tack for Retinal Prosthesis | 2010 | 1 |
| 20 | PMMA Retinal Tack with Barb-shaped Scale bars for Retinal Prosthesis | 2009 | 1 |
About Jae-Jun Ban
Jae-Jun Ban is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cancer Research and Rehabilitation, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Neuroscience and Neural Engineering (4 papers), Mesenchymal stem cell research (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Wound Healing and Treatments (3 papers), Genetic Neurodegenerative Diseases (3 papers), MicroRNA in disease regulation (3 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Cancer Research (329 citations), Rehabilitation (108 citations), Genetics (157 citations), Molecular Biology (632 citations) and Neurology (53 citations). Jae-Jun Ban has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Manho Kim, Mijung Lee, Wooseok Im, Wooseok Im, Norihiko Takeda, Jung‐whan Kim, Seungwon Yang, Ki-Yoon Kim, Gye Sun Jeon and Jin Young Chung. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Neurobiology of Disease, Brain Research and Scientific Reports.
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.