Hee Jun Cho
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 10
- TGF-β signaling in diseases 5
- Wnt/β-catenin signaling in development and cancer 3
- Oncology 13
- Cancer-related Molecular Pathways 4
- Co-authors
- Jiyun Yoo (15 shared papers)Kyoung Eun Baek (15 shared papers)Hee Gu Lee (30 shared papers)Shizuya Saika (1 shared paper)Moon‐Jin Jeong (1 shared paper)Seon‐Jin Lee (9 shared papers)Suk Ran Yoon (12 shared papers)Bo Yeon Kim (6 shared papers)
- Journals
- Oncotarget (6 papers)Biochemical and Biophysical Research Communications (5 papers)Cancers (4 papers)International Journal of Molecular Sciences (4 papers)Cells (3 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Hee Jun Cho
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 267
- Oncology 386
- Molecular Biology 926
- Cell Biology 192
- Immunology 174
Countries citing papers authored by Hee Jun Cho
This map shows the geographic impact of Hee Jun Cho'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 Hee Jun Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee Jun Cho more than expected).
Fields of papers citing papers by Hee Jun Cho
This network shows the impact of papers produced by Hee Jun Cho. 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 Hee Jun Cho. The network helps show where Hee Jun Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Hee Jun Cho, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 144 | |
| 2 | 2005 | 100 | |
| 3 | 2007 | 75 | |
| 4 | 2009 | 75 | |
| 5 | 2017 | 69 | |
| 6 | 2017 | 60 | |
| 7 | 2020 | 52 | |
| 8 | 2019 | 52 | |
| 9 | 2019 | 50 | |
| 10 | 2017 | 44 | |
| 11 | 2014 | 42 | |
| 12 | 2010 | 41 | |
| 13 | 2019 | 40 | |
| 14 | 2009 | 38 | |
| 15 | 2011 | 37 | |
| 16 | 2016 | 35 | |
| 17 | 2014 | 31 | |
| 18 | 2016 | 28 | |
| 19 | 2018 | 27 | |
| 20 | 2018 | 27 |
About Hee Jun Cho
Hee Jun Cho is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Cancer Research, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), Autophagy in Disease and Therapy (6 papers), Microtubule and mitosis dynamics (5 papers), TGF-β signaling in diseases (5 papers), Immune Cell Function and Interaction (4 papers), Cancer-related Molecular Pathways (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Cancer Research (267 citations), Oncology (386 citations), Molecular Biology (926 citations), Cell Biology (192 citations) and Immunology (174 citations). Hee Jun Cho has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jiyun Yoo, Kyoung Eun Baek, Hee Gu Lee, Shizuya Saika, Moon‐Jin Jeong, Seon‐Jin Lee, Suk Ran Yoon, Bo Yeon Kim, In‐Kyu Kim and Jong‐Tae Kim. Their work appears in journals such as Oncotarget, Biochemical and Biophysical Research Communications, Cancers, International Journal of Molecular Sciences and Cells.
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.