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 7
- Cell death mechanisms and regulation 4
- PI3K/AKT/mTOR signaling in cancer 4
- Melanoma and MAPK Pathways 2
- Oncology 13
- Cytokine Signaling Pathways and Interactions 8
- Co-authors
- Chung-Wai Shiau (15 shared papers)Kuen‐Feng Chen (10 shared papers)Chun‐Yu Liu (9 shared papers)Long‐Sen Chang (7 shared papers)Shinne-Ren Lin (7 shared papers)Kuei-Li Lin (7 shared papers)Ling‐Ming Tseng (5 shared papers)Pei‐Yi Chu (5 shared papers)
- Journals
- Toxicology in Vitro (2 papers)Breast Cancer Research (2 papers)Life Sciences (2 papers)Oncotarget (2 papers)Journal of Enzyme Inhibition and Medicinal Chemistry (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Jung-Chen Su
26 papers receiving 692 citations
Peers
Comparison fields: 5 of 80
- Toxicology 59
- Oncology 245
- Molecular Biology 435
- Cancer Research 91
- Immunology 118
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 | 81 | |
| 2 | 2013 | 64 | |
| 3 | 2016 | 50 | |
| 4 | 2010 | 48 | |
| 5 | 2017 | 45 | |
| 6 | 2012 | 44 | |
| 7 | 2017 | 36 | |
| 8 | 2012 | 35 | |
| 9 | 2009 | 34 | |
| 10 | 2016 | 32 | |
| 11 | 2010 | 30 | |
| 12 | 2015 | 25 | |
| 13 | 2009 | 25 | |
| 14 | 2014 | 25 | |
| 15 | 2017 | 22 | |
| 16 | 2018 | 21 | |
| 17 | 2009 | 20 | |
| 18 | 2017 | 16 | |
| 19 | 2010 | 13 | |
| 20 | 2018 | 13 |
About Jung-Chen Su
Jung-Chen Su is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pharmacology and Toxicology, having authored 26 papers that have together received 699 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (8 papers), Protein Tyrosine Phosphatases (7 papers), Bioactive Compounds and Antitumor Agents (4 papers), Cell death mechanisms and regulation (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Galectins and Cancer Biology (3 papers), Healthcare and Venom Research (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Toxicology (59 citations), Oncology (245 citations), Molecular Biology (435 citations), Cancer Research (91 citations) and Immunology (118 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, Long‐Sen Chang, Shinne-Ren Lin, Kuei-Li Lin, Ling‐Ming Tseng, Pei‐Yi Chu, Wei‐Tien Tai and Yeh-Long Chen. Their work appears in journals such as Toxicology in Vitro, Breast Cancer Research, Life Sciences, Oncotarget and Journal of Enzyme Inhibition and Medicinal Chemistry.
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.