Shaoxiang Wang
Impact in
- Linguistics and Language top 5%
- Multilingual Education and Policy
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Heat shock proteins research 11
- RNA modifications and cancer 7
- Cancer-related gene regulation 5
- Oncology 13
- Metal complexes synthesis and properties 5
- Co-authors
- Kai Zheng (23 shared papers)Yifei Wang (18 shared papers)Xiao Wang (21 shared papers)Yangfei Xiang (8 shared papers)Kaisheng Liu (13 shared papers)Xiaoyan Wang (5 shared papers)Fanggao Chang (1 shared paper)Na Zhang (1 shared paper)
In The Last Decade
Shaoxiang Wang
68 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 145
- Linguistics and Language 81
- Cancer Research 174
- Language and Linguistics 100
- Molecular Biology 672
- Oncology 222
Countries citing papers authored by Shaoxiang Wang
This map shows the geographic impact of Shaoxiang Wang'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 Shaoxiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoxiang Wang more than expected).
Fields of papers citing papers by Shaoxiang Wang
This network shows the impact of papers produced by Shaoxiang Wang. 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 Shaoxiang Wang. The network helps show where Shaoxiang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoxiang Wang, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 203 | |
| 2 | 2007 | 100 | |
| 3 | 2014 | 99 | |
| 4 | 2016 | 88 | |
| 5 | 2015 | 86 | |
| 6 | 2014 | 83 | |
| 7 | 2012 | 53 | |
| 8 | 2019 | 42 | |
| 9 | 2020 | 42 | |
| 10 | 2014 | 33 | |
| 11 | 2006 | 31 | |
| 12 | 2014 | 31 | |
| 13 | 2011 | 31 | |
| 14 | 2011 | 29 | |
| 15 | 2019 | 29 | |
| 16 | 2020 | 28 | |
| 17 | 2020 | 26 | |
| 18 | Dual high expression of STAT3 and cyclinD1 is associated with poor prognosis after curative resection of esophageal squamous cell carcinoma. | 2014 | 25 |
| 19 | 2021 | 24 | |
| 20 | 2013 | 22 |
About Shaoxiang Wang
Shaoxiang Wang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Pharmacology and Epidemiology, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heat shock proteins research (11 papers), RNA modifications and cancer (7 papers), Cancer-related gene regulation (5 papers), Computational Drug Discovery Methods (5 papers), Toxin Mechanisms and Immunotoxins (5 papers), Metal complexes synthesis and properties (5 papers), Herpesvirus Infections and Treatments (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Linguistics and Language (81 citations), Cancer Research (174 citations), Language and Linguistics (100 citations), Molecular Biology (672 citations) and Oncology (222 citations). Shaoxiang Wang has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Kai Zheng, Yifei Wang, Xiao Wang, Yangfei Xiang, Kaisheng Liu, Xiaoyan Wang, Fanggao Chang, Na Zhang, Feng Yang and Guilin Song. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Journal of Biological Sciences, International Journal of Oncology, BioMed Research International and Molecules.
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.