Pi‐Xiao Wang
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Hepatitis C virus research
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- RNA modifications and cancer 4
- Signaling Pathways in Disease 3
- Epidemiology 12
- Liver Disease Diagnosis and Treatment 11
- Co-authors
- Hongliang Li (19 shared papers)Xiao‐Jing Zhang (11 shared papers)Yan‐Xiao Ji (7 shared papers)Xi Jiang (7 shared papers)Zan Huang (6 shared papers)Song Tian (9 shared papers)Xue‐Yong Zhu (7 shared papers)Ke‐Qiong Deng (3 shared papers)
- Journals
- Journal of Hepatology (6 papers)Hepatology (5 papers)Nature Communications (3 papers)Hypertension (3 papers)Nature Medicine (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Pi‐Xiao Wang
27 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Hepatology 195
- Cell Biology 280
- Epidemiology 553
- Immunology 297
- Cancer Research 188
Countries citing papers authored by Pi‐Xiao Wang
This map shows the geographic impact of Pi‐Xiao 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 Pi‐Xiao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pi‐Xiao Wang more than expected).
Fields of papers citing papers by Pi‐Xiao Wang
This network shows the impact of papers produced by Pi‐Xiao 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 Pi‐Xiao Wang. The network helps show where Pi‐Xiao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pi‐Xiao 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 151 | |
| 2 | 2016 | 148 | |
| 3 | 2016 | 110 | |
| 4 | 2016 | 107 | |
| 5 | 2015 | 85 | |
| 6 | 2016 | 79 | |
| 7 | 2014 | 68 | |
| 8 | 2014 | 60 | |
| 9 | 2016 | 56 | |
| 10 | 2017 | 50 | |
| 11 | 2016 | 47 | |
| 12 | 2016 | 41 | |
| 13 | 2016 | 35 | |
| 14 | 2013 | 35 | |
| 15 | 2014 | 35 | |
| 16 | 2017 | 34 | |
| 17 | 2017 | 33 | |
| 18 | 2016 | 32 | |
| 19 | 2015 | 30 | |
| 20 | 2017 | 27 |
About Pi‐Xiao Wang
Pi‐Xiao Wang is a scholar working on Molecular Biology, Epidemiology, Immunology, Cancer Research and Cell Biology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Cancer-related molecular mechanisms research (5 papers), interferon and immune responses (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), RNA modifications and cancer (4 papers), Signaling Pathways in Disease (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Hepatology (195 citations), Cell Biology (280 citations), Epidemiology (553 citations), Immunology (297 citations) and Cancer Research (188 citations). Pi‐Xiao Wang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Hongliang Li, Xiao‐Jing Zhang, Yan‐Xiao Ji, Xi Jiang, Zan Huang, Song Tian, Xue‐Yong Zhu, Ke‐Qiong Deng, Guang‐Nian Zhao and Zhi‐Gang She. Their work appears in journals such as Journal of Hepatology, Hepatology, Nature Communications, Hypertension and Nature Medicine.
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.