Chuanshu Huang
- Molecular Biology top 0.5%
- Cancer Research top 0.5%
- Oncology top 1%
- Immunology top 2%
- Pathology and Forensic Medicine top 1%
- Topics
- Cancer-related Molecular Pathways (57 papers)NF-κB Signaling Pathways (35 papers)Ubiquitin and proteasome pathways (34 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Chuanshu Huang
298 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 7.9k
- Cancer Research 2.8k
- Oncology 2.5k
- Immunology 1.2k
- Pathology and Forensic Medicine 1.2k
Countries citing papers authored by Chuanshu Huang
This map shows the geographic impact of Chuanshu Huang'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 Chuanshu Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuanshu Huang more than expected).
Fields of papers citing papers by Chuanshu Huang
This network shows the impact of papers produced by Chuanshu Huang. 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 Chuanshu Huang. The network helps show where Chuanshu Huang may publish in the future.
Co-authorship network of co-authors of Chuanshu Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Chuanshu Huang. A scholar is included among the top collaborators of Chuanshu Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chuanshu Huang. Chuanshu Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 99mTc Radiolabeled HA/TPGS-Based Curcumin-Loaded Nanoparticle for Breast Cancer Synergistic Theranostics: Design, in vitro and in vivo Evaluation | 2 |
| 5 | 40 | |
| 6 | Exploration of bladder cancer-associated methylated miRNAs by methylated DNA immunoprecipitation sequencing | 1 |
| 7 | 59 | |
| 8 | 25 | |
| 9 | 54 | |
| 10 | 7 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | Black raspberry extracts inhibit benzo(a)pyrene diol-epoxide-induced AP-1 activation and VEGF transcription by targeting the PI-3K/Akt pathway. | 1 |
| 14 | 59 | |
| 15 | 5 | |
| 16 | 32 | |
| 17 | 163 | |
| 18 | 55 | |
| 19 | Essential role of p53 in phenethyl isothiocyanate-induced apoptosis. | 154 |
| 20 | 125 |
About Chuanshu Huang
Chuanshu Huang is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 301 papers that have together received 13.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (57 papers), NF-κB Signaling Pathways (35 papers) and Ubiquitin and proteasome pathways (34 papers). The work is most often cited by research in Cancer Research (2.8k citations), Biochemistry (911 citations) and Applied Microbiology and Biotechnology (255 citations). Chuanshu Huang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Zigang Dong, Weiming Ouyang, Haitian Lu, Weiya Ma, Jingxia Li, Jingxia Li, Dongyun Zhang, Xianglin Shi, Max Costa and Wei-Ya Ma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.