Hyuk‐Jin Cha
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
Papers in
-
- Pluripotent Stem Cells Research 35
- CRISPR and Genetic Engineering 23
- RNA Interference and Gene Delivery 8
- Ubiquitin and proteasome pathways 7
- Oncology 22
- Cancer Cells and Metastasis 9
- Cancer-related Molecular Pathways 9
- Co-authors
- Albert J. Fornace (12 shared papers)Ji‐Seon Lee (11 shared papers)Paul Shapiro (4 shared papers)Ho‐Chang Jeong (18 shared papers)Mi‐Ok Lee (15 shared papers)Ok‐Seon Kwon (18 shared papers)Heng‐Hong Li (4 shared papers)Keun-Tae Kim (19 shared papers)
- Journals
- Biomaterials (6 papers)Oncotarget (5 papers)Archives of Pharmacal Research (4 papers)Experimental & Molecular Medicine (4 papers)Nature Communications (3 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Hyuk‐Jin Cha
111 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 121
- Geriatrics and Gerontology 131
- Molecular Biology 1.6k
- Cancer Research 320
- Oncology 400
- Cell Biology 258
Countries citing papers authored by Hyuk‐Jin Cha
This map shows the geographic impact of Hyuk‐Jin Cha'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 Hyuk‐Jin Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyuk‐Jin Cha more than expected).
Fields of papers citing papers by Hyuk‐Jin Cha
This network shows the impact of papers produced by Hyuk‐Jin Cha. 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 Hyuk‐Jin Cha. The network helps show where Hyuk‐Jin Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Hyuk‐Jin Cha, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 198 | |
| 2 | 2017 | 138 | |
| 3 | 2013 | 123 | |
| 4 | 2010 | 116 | |
| 5 | 2009 | 78 | |
| 6 | 2001 | 61 | |
| 7 | 2007 | 57 | |
| 8 | 2009 | 52 | |
| 9 | Human lung cancer-associated fibroblasts enhance motility of non-small cell lung cancer cells in co-culture. | 2013 | 48 |
| 10 | 2018 | 46 | |
| 11 | 2003 | 45 | |
| 12 | 2010 | 45 | |
| 13 | 2004 | 45 | |
| 14 | 2012 | 44 | |
| 15 | 2015 | 43 | |
| 16 | 2021 | 42 | |
| 17 | 2019 | 41 | |
| 18 | 2016 | 38 | |
| 19 | 2013 | 36 | |
| 20 | 2014 | 34 |
About Hyuk‐Jin Cha
Hyuk‐Jin Cha is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Biomedical Engineering, having authored 115 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (35 papers), CRISPR and Genetic Engineering (23 papers), Microtubule and mitosis dynamics (11 papers), Cancer Cells and Metastasis (9 papers), Cancer-related Molecular Pathways (9 papers), RNA Interference and Gene Delivery (8 papers), 3D Printing in Biomedical Research (8 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Geriatrics and Gerontology (131 citations), Molecular Biology (1.6k citations), Cancer Research (320 citations), Oncology (400 citations) and Cell Biology (258 citations). Hyuk‐Jin Cha has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Albert J. Fornace, Ji‐Seon Lee, Paul Shapiro, Ho‐Chang Jeong, Mi‐Ok Lee, Ok‐Seon Kwon, Heng‐Hong Li, Keun-Tae Kim, Julie M. Lowe and Haeseung Lee. Their work appears in journals such as Biomaterials, Oncotarget, Archives of Pharmacal Research, Experimental & Molecular Medicine and Nature 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.