Jung-Chen Su
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- Protein Tyrosine Phosphatases 6
- Cell death mechanisms and regulation 2
- PI3K/AKT/mTOR signaling in cancer 2
- Oncology 11
- Cytokine Signaling Pathways and Interactions 7
- HER2/EGFR in Cancer Research 2
- Co-authors
- Chung-Wai Shiau (15 shared papers)Kuen‐Feng Chen (10 shared papers)Chun‐Yu Liu (9 shared papers)Kuei-Li Lin (7 shared papers)Ching‐Ming Chien (7 shared papers)Shinne-Ren Lin (7 shared papers)Long‐Sen Chang (7 shared papers)Pei‐Yi Chu (5 shared papers)
- Journals
- Toxicology in Vitro (2 papers)Oncotarget (2 papers)Life Sciences (2 papers)Breast Cancer Research (2 papers)Cancer Letters (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Jung-Chen Su
26 papers receiving 703 citations
Peers
Comparison fields: 5 of 78
- Toxicology 56
- Oncology 217
- Molecular Biology 386
- Cancer Research 78
- Immunology 112
Countries citing papers authored by Jung-Chen Su
This map shows the geographic impact of Jung-Chen Su'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 Jung-Chen Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung-Chen Su more than expected).
Fields of papers citing papers by Jung-Chen Su
This network shows the impact of papers produced by Jung-Chen Su. 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 Jung-Chen Su. The network helps show where Jung-Chen Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jung-Chen Su, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 85 | |
| 2 | 2013 | 64 | |
| 3 | 2016 | 50 | |
| 4 | 2010 | 48 | |
| 5 | 2017 | 46 | |
| 6 | 2012 | 44 | |
| 7 | 2017 | 36 | |
| 8 | 2012 | 35 | |
| 9 | 2009 | 34 | |
| 10 | 2016 | 32 | |
| 11 | 2010 | 30 | |
| 12 | 2015 | 26 | |
| 13 | 2009 | 25 | |
| 14 | 2014 | 25 | |
| 15 | 2017 | 22 | |
| 16 | 2018 | 21 | |
| 17 | 2009 | 21 | |
| 18 | 2017 | 16 | |
| 19 | 2018 | 14 | |
| 20 | 2010 | 13 |
About Jung-Chen Su
Jung-Chen Su is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pharmacology and Immunology, having authored 26 papers that have together received 710 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), Protein Tyrosine Phosphatases (6 papers), Galectins and Cancer Biology (3 papers), Bioactive Compounds and Antitumor Agents (3 papers), Cell death mechanisms and regulation (2 papers), Healthcare and Venom Research (2 papers), HER2/EGFR in Cancer Research (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Toxicology (56 citations), Oncology (217 citations), Molecular Biology (386 citations), Cancer Research (78 citations) and Immunology (112 citations). Jung-Chen Su has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chung-Wai Shiau, Kuen‐Feng Chen, Chun‐Yu Liu, Kuei-Li Lin, Ching‐Ming Chien, Shinne-Ren Lin, Long‐Sen Chang, Pei‐Yi Chu, Ling‐Ming Tseng and Wei‐Tien Tai. Their work appears in journals such as Toxicology in Vitro, Oncotarget, Life Sciences, Breast Cancer Research and Cancer Letters.
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.