Ping Wu
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Hepatology top 5%
Papers in
-
- Ubiquitin and proteasome pathways 7
- Circular RNAs in diseases 7
- Hematology 21
- Multiple Myeloma Research and Treatments 19
- Co-authors
- Fang Yang (5 shared papers)Wei Wu (5 shared papers)Danling Sun (3 shared papers)Dexing Zhang (2 shared papers)Yikai Zhou (2 shared papers)Gareth J. Morgan (25 shared papers)Faith E. Davies (19 shared papers)Wuying Chu (25 shared papers)
- Journals
- Blood (12 papers)Marine Biotechnology (4 papers)PLoS ONE (3 papers)Environmental Science and Pollution Research (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Ping Wu
105 papers receiving 2.8k citations
Ping Wu's Hit Papers
Peers
Comparison fields: 5 of 137
- Hematology 495
- Hepatology 227
- Pollution 268
- Aquatic Science 157
- Cancer Research 238
Countries citing papers authored by Ping Wu
This map shows the geographic impact of Ping Wu'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 Ping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Wu more than expected).
Fields of papers citing papers by Ping Wu
This network shows the impact of papers produced by Ping Wu. 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 Ping Wu. The network helps show where Ping Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Wu, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Assessment of heavy metal pollution and human health risks in urban soils around an electronics manufacturing facility Hit paper breakdown → | 2018 | 366 |
| 2 | Classification of hepatocellular carcinoma according to hepatocellular and biliary differentiation markers. Clinical and biological implications. | 1996 | 162 |
| 3 | 2013 | 130 | |
| 4 | 2011 | 128 | |
| 5 | 2015 | 118 | |
| 6 | 2014 | 105 | |
| 7 | 2010 | 98 | |
| 8 | 2011 | 91 | |
| 9 | 2009 | 89 | |
| 10 | 1998 | 83 | |
| 11 | 1990 | 73 | |
| 12 | 1981 | 55 | |
| 13 | 2012 | 53 | |
| 14 | 1997 | 51 | |
| 15 | 2013 | 50 | |
| 16 | 2016 | 50 | |
| 17 | 2014 | 45 | |
| 18 | 2021 | 44 | |
| 19 | 2013 | 42 | |
| 20 | 2014 | 42 |
About Ping Wu
Ping Wu is a scholar working on Molecular Biology, Hematology, Oncology, Epidemiology and Cancer Research, having authored 109 papers that have together received 2.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (19 papers), MicroRNA in disease regulation (11 papers), Circadian rhythm and melatonin (8 papers), Ubiquitin and proteasome pathways (7 papers), Bone health and treatments (7 papers), Circular RNAs in diseases (7 papers), Hepatitis B Virus Studies (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Hematology (495 citations), Hepatology (227 citations), Pollution (268 citations), Aquatic Science (157 citations) and Cancer Research (238 citations). Ping Wu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Fang Yang, Wei Wu, Danling Sun, Dexing Zhang, Yikai Zhou, Gareth J. Morgan, Faith E. Davies, Wuying Chu, Ching‐Lung Lai and Jianshe Zhang. Their work appears in journals such as Blood, Marine Biotechnology, PLoS ONE, Environmental Science and Pollution Research and British Journal of Haematology.
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.