Guoping Wang
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Oncology top 10%
Papers in
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Oncology 16
- Chemokine receptors and signaling 5
- Co-authors
- Shaomeng Wang (5 shared papers)Dong Kuang (16 shared papers)Yaqi Duan (23 shared papers)Zaneta Nikolovska‐Coleska (4 shared papers)O Karmin (1 shared paper)Yaw Loong Siow (1 shared paper)Su Qiu (2 shared papers)Xia Zhao (6 shared papers)
- Journals
- Diagnostic Pathology (4 papers)Experimental and Molecular Pathology (3 papers)Journal of Cellular and Molecular Medicine (2 papers)Clinical Cancer Research (2 papers)National Science Review (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guoping Wang
94 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 401
- Oncology 470
- Infectious Diseases 312
- Immunology 347
- Molecular Biology 1.1k
Countries citing papers authored by Guoping Wang
This map shows the geographic impact of Guoping 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 Guoping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoping Wang more than expected).
Fields of papers citing papers by Guoping Wang
This network shows the impact of papers produced by Guoping 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 Guoping Wang. The network helps show where Guoping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoping 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 256 | |
| 2 | 2018 | 208 | |
| 3 | 2020 | 154 | |
| 4 | 2006 | 124 | |
| 5 | 2020 | 121 | |
| 6 | 2020 | 109 | |
| 7 | 2012 | 100 | |
| 8 | 2015 | 88 | |
| 9 | 2020 | 88 | |
| 10 | 2001 | 84 | |
| 11 | 2007 | 77 | |
| 12 | 2006 | 74 | |
| 13 | 2006 | 64 | |
| 14 | 2019 | 64 | |
| 15 | 2013 | 60 | |
| 16 | 2005 | 59 | |
| 17 | 2015 | 58 | |
| 18 | 2020 | 56 | |
| 19 | 2016 | 55 | |
| 20 | 2006 | 41 |
About Guoping Wang
Guoping Wang is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Immunology and Allergy, having authored 96 papers that have together received 2.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Cell Adhesion Molecules Research (5 papers), MicroRNA in disease regulation (5 papers), Chemokine receptors and signaling (5 papers), Cancer-related molecular mechanisms research (4 papers), Mesenchymal stem cell research (4 papers), Plant Pathogens and Fungal Diseases (4 papers) and Cell death mechanisms and regulation (4 papers). The work is most often cited by research in Cancer Research (401 citations), Oncology (470 citations), Infectious Diseases (312 citations), Immunology (347 citations) and Molecular Biology (1.1k citations). Guoping Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shaomeng Wang, Dong Kuang, Yaqi Duan, Zaneta Nikolovska‐Coleska, O Karmin, Yaw Loong Siow, Su Qiu, Xia Zhao, Qilin Ao and Yongsheng Wang. Their work appears in journals such as Diagnostic Pathology, Experimental and Molecular Pathology, Journal of Cellular and Molecular Medicine, Clinical Cancer Research and National Science Review.
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.