Pu-Hyeon Cha
Impact in
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- Cancer, Hypoxia, and Metabolism
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- Cancer Cells and Metastasis
Papers in
- Oncology 8
- Cancer-related Molecular Pathways 3
- HER2/EGFR in Cancer Research 2
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- Wnt/β-catenin signaling in development and cancer 6
- Fibroblast Growth Factor Research 2
- Cancer-related gene regulation 2
- Bone Metabolism and Diseases 2
- Co-authors
- Kang‐Yell Choi (13 shared papers)Do Sik Min (6 shared papers)Muhammad Asif Zahoor (3 shared papers)Yong‐Hee Cho (5 shared papers)Hyun-Yi Kim (4 shared papers)Gyoonhee Han (5 shared papers)Sang Gyu Lee (5 shared papers)Jeongha Hwang (1 shared paper)
- Journals
- Experimental & Molecular Medicine (3 papers)Oncotarget (2 papers)Bone (1 paper)Scientific Reports (1 paper)Journal of Bone and Mineral Research (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Pu-Hyeon Cha
14 papers receiving 381 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 53
- Oncology 88
- Molecular Biology 231
- Pathology and Forensic Medicine 32
- Rehabilitation 10
Countries citing papers authored by Pu-Hyeon Cha
This map shows the geographic impact of Pu-Hyeon 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 Pu-Hyeon Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu-Hyeon Cha more than expected).
Fields of papers citing papers by Pu-Hyeon Cha
This network shows the impact of papers produced by Pu-Hyeon 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 Pu-Hyeon Cha. The network helps show where Pu-Hyeon Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu-Hyeon 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 86 | |
| 2 | 2020 | 48 | |
| 3 | 2014 | 36 | |
| 4 | 2016 | 33 | |
| 5 | 2020 | 33 | |
| 6 | 2019 | 25 | |
| 7 | 2013 | 23 | |
| 8 | 2018 | 23 | |
| 9 | 2022 | 22 | |
| 10 | 2019 | 22 | |
| 11 | 2014 | 16 | |
| 12 | 2016 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2025 | 0 |
About Pu-Hyeon Cha
Pu-Hyeon Cha is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 15 papers that have together received 383 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (6 papers), Cancer-related Molecular Pathways (3 papers), HER2/EGFR in Cancer Research (2 papers), Corneal Surgery and Treatments (2 papers), Fibroblast Growth Factor Research (2 papers), Cancer-related gene regulation (2 papers), Genetic factors in colorectal cancer (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Cancer Research (53 citations), Oncology (88 citations), Molecular Biology (231 citations), Pathology and Forensic Medicine (32 citations) and Rehabilitation (10 citations). Pu-Hyeon Cha has collaborated with scholars based in South Korea and United States. Frequent co-authors include Kang‐Yell Choi, Do Sik Min, Muhammad Asif Zahoor, Yong‐Hee Cho, Hyun-Yi Kim, Gyoonhee Han, Sang Gyu Lee, Jeongha Hwang, Kyung‐Sup Kim and Woo-Jeong Jeong. Their work appears in journals such as Experimental & Molecular Medicine, Oncotarget, Bone, Scientific Reports and Journal of Bone and Mineral Research.
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.