Xiaoping Wang
Impact in
- Cancer Research top 10%
- NF-κB Signaling Pathways
- Geriatrics and Gerontology top 5%
Papers in
-
- Cell death mechanisms and regulation 22
- Lipid Membrane Structure and Behavior 6
-
- Cancer-related molecular mechanisms research 8
- NF-κB Signaling Pathways 6
- Co-authors
- Tongsheng Chen (40 shared papers)Tongsheng Chen (10 shared papers)Guiqi Qin (6 shared papers)Tse‐Hua Tan (1 shared paper)Dennis J. Templeton (1 shared paper)Christian F. Meyer (1 shared paper)Liang Qian (3 shared papers)Jiye Cai (8 shared papers)
- Journals
- APOPTOSIS (5 papers)Oncotarget (4 papers)Biochemical and Biophysical Research Communications (4 papers)Nanoscale Research Letters (4 papers)Artificial Cells Nanomedicine and Biotechnology (3 papers)
- Partner nations
- ChinaUnited StatesEstonia
In The Last Decade
Xiaoping Wang
102 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 265
- Geriatrics and Gerontology 41
- Molecular Biology 878
- Biomaterials 165
- Catalysis 86
Countries citing papers authored by Xiaoping Wang
This map shows the geographic impact of Xiaoping 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 Xiaoping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Wang more than expected).
Fields of papers citing papers by Xiaoping Wang
This network shows the impact of papers produced by Xiaoping 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 Xiaoping Wang. The network helps show where Xiaoping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 153 | |
| 2 | 2016 | 115 | |
| 3 | 2016 | 102 | |
| 4 | 2015 | 62 | |
| 5 | 2014 | 60 | |
| 6 | 2019 | 54 | |
| 7 | 2008 | 50 | |
| 8 | 2013 | 50 | |
| 9 | 2015 | 50 | |
| 10 | 2008 | 49 | |
| 11 | 2016 | 47 | |
| 12 | 2016 | 44 | |
| 13 | 2016 | 44 | |
| 14 | 2017 | 43 | |
| 15 | 2014 | 40 | |
| 16 | 2010 | 40 | |
| 17 | 2010 | 39 | |
| 18 | 2009 | 38 | |
| 19 | 2022 | 37 | |
| 20 | 2022 | 33 |
About Xiaoping Wang
Xiaoping Wang is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Biomedical Engineering, having authored 106 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (22 papers), Autophagy in Disease and Therapy (9 papers), Cancer-related molecular mechanisms research (8 papers), Graphene and Nanomaterials Applications (8 papers), Osteoarthritis Treatment and Mechanisms (6 papers), interferon and immune responses (6 papers), NF-κB Signaling Pathways (6 papers) and Lipid Membrane Structure and Behavior (6 papers). The work is most often cited by research in Cancer Research (265 citations), Geriatrics and Gerontology (41 citations), Molecular Biology (878 citations), Biomaterials (165 citations) and Catalysis (86 citations). Xiaoping Wang has collaborated with scholars based in China, United States and Estonia. Frequent co-authors include Tongsheng Chen, Tongsheng Chen, Guiqi Qin, Tse‐Hua Tan, Dennis J. Templeton, Christian F. Meyer, Liang Qian, Jiye Cai, Yilin Pang and Liping Wu. Their work appears in journals such as APOPTOSIS, Oncotarget, Biochemical and Biophysical Research Communications, Nanoscale Research Letters and Artificial Cells Nanomedicine and Biotechnology.
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.