Gaiping Wang
Impact in
- Hepatology top 10%
- Liver physiology and pathology
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hepatology 22
- Liver physiology and pathology 22
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- Plant Gene Expression Analysis 3
- Co-authors
- Cunshuan Xu (24 shared papers)Cuifang Chang (22 shared papers)Huanchao Zhang (3 shared papers)Zhihong Cao (1 shared paper)Weiming Zhao (7 shared papers)Fuliang Cao (4 shared papers)Yunpeng Hao (3 shared papers)Shasha Chen (6 shared papers)
In The Last Decade
Gaiping Wang
42 papers receiving 342 citations
Peers
Comparison fields: 5 of 71
- Hepatology 97
- Cancer Research 69
- Environmental Chemistry 36
- Soil Science 27
- Epidemiology 79
Countries citing papers authored by Gaiping Wang
This map shows the geographic impact of Gaiping 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 Gaiping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaiping Wang more than expected).
Fields of papers citing papers by Gaiping Wang
This network shows the impact of papers produced by Gaiping 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 Gaiping Wang. The network helps show where Gaiping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gaiping 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 36 | |
| 2 | 2011 | 34 | |
| 3 | 2003 | 34 | |
| 4 | 2019 | 25 | |
| 5 | 2022 | 23 | |
| 6 | 2012 | 19 | |
| 7 | 2017 | 17 | |
| 8 | 2015 | 16 | |
| 9 | 2016 | 13 | |
| 10 | 2005 | 13 | |
| 11 | 2015 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2015 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2010 | 6 | |
| 17 | 6 Paths of ERK5 signaling pathway regulate hepatocyte proliferation in rat liver regeneration. | 2012 | 5 |
| 18 | 2019 | 5 | |
| 19 | 2012 | 4 | |
| 20 | 2023 | 4 |
About Gaiping Wang
Gaiping Wang is a scholar working on Hepatology, Molecular Biology, Surgery, Epidemiology and Cancer Research, having authored 43 papers that have together received 345 indexed citations. Recurring topics across this work include Liver physiology and pathology (22 papers), Liver Disease Diagnosis and Treatment (9 papers), Organ Transplantation Techniques and Outcomes (7 papers), Pancreatic function and diabetes (5 papers), MicroRNA in disease regulation (4 papers), Bone and Dental Protein Studies (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Plant Gene Expression Analysis (3 papers). The work is most often cited by research in Hepatology (97 citations), Cancer Research (69 citations), Environmental Chemistry (36 citations), Soil Science (27 citations) and Epidemiology (79 citations). Gaiping Wang has collaborated with scholars based in China, Thailand and Hong Kong. Frequent co-authors include Cunshuan Xu, Cuifang Chang, Huanchao Zhang, Zhihong Cao, Weiming Zhao, Fuliang Cao, Yunpeng Hao, Shasha Chen, Guibin Wang and Ming Hung Wong. Their work appears in journals such as Cell Biology International, Cellular & Molecular Biology Letters, Biochemical Genetics, Cell Biochemistry and Function and Forests.
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.