Ping Qiu
Impact in
- Hepatology top 0.2%
- Hepatitis C virus research
- Nephrology top 0.5%
- Parathyroid Disorders and Treatments
Papers in ⓘ
- Hepatology 15
- Hepatitis C virus research 14
- Oncology 33
- Cancer Immunotherapy and Biomarkers 12
- PARP inhibition in cancer therapy 11
- Co-authors
- Mark Sulkowski (3 shared papers)Kevin V. Shianna (2 shared papers)John G. McHutchison (2 shared papers)Alexander Thompson (2 shared papers)Jacques Fellay (2 shared papers)David B. Goldstein (2 shared papers)Thomas Urban (2 shared papers)Arthur H. Bertelsen (2 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)Annals of Oncology (5 papers)Virology (4 papers)Scientific Reports (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ping Qiu
149 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Hepatology 2.7k
- Nephrology 717
- Epidemiology 2.4k
- Virology 222
- Rheumatology 589
Countries citing papers authored by Ping Qiu
This map shows the geographic impact of Ping Qiu'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 Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Qiu more than expected).
Fields of papers citing papers by Ping Qiu
This network shows the impact of papers produced by Ping Qiu. 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 Qiu. The network helps show where Ping Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Qiu, 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic variation in IL28B predicts hepatitis C treatment-induced viral clearance Hit paper breakdown → | 2009 | 2637 |
| 2 | 2010 | 340 | |
| 3 | 2008 | 319 | |
| 4 | 2005 | 286 | |
| 5 | 2006 | 146 | |
| 6 | 2003 | 141 | |
| 7 | 2003 | 141 | |
| 8 | 2001 | 131 | |
| 9 | 2003 | 128 | |
| 10 | 2007 | 126 | |
| 11 | 2005 | 121 | |
| 12 | 2010 | 106 | |
| 13 | 2005 | 103 | |
| 14 | 2002 | 98 | |
| 15 | 2002 | 87 | |
| 16 | 2011 | 85 | |
| 17 | 2011 | 69 | |
| 18 | 2016 | 69 | |
| 19 | 2008 | 68 | |
| 20 | 2016 | 64 |
About Ping Qiu
Ping Qiu is a scholar working on Hepatology, Oncology, Cancer Research, Virology and Nephrology, having authored 156 papers that have together received 7.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (14 papers), Cancer Immunotherapy and Biomarkers (12 papers), PARP inhibition in cancer therapy (11 papers), HIV/AIDS drug development and treatment (11 papers), Prostate Cancer Treatment and Research (11 papers), Cancer Genomics and Diagnostics (10 papers), Plant Virus Research Studies (8 papers) and Genomics and Chromatin Dynamics (7 papers). The work is most often cited by research in Hepatology (2.7k citations), Nephrology (717 citations), Epidemiology (2.4k citations), Virology (222 citations) and Rheumatology (589 citations). Ping Qiu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mark Sulkowski, Kevin V. Shianna, John G. McHutchison, Alexander Thompson, Jacques Fellay, David B. Goldstein, Thomas Urban, Arthur H. Bertelsen, Dongliang Ge and Andrew J. Muir. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Virology, Scientific Reports and Journal of Biological Chemistry.
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.