Pingping Qu
Impact in
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- Electrochemical Analysis and Applications
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- Multiple Myeloma Research and Treatments
Papers in
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- Protein Degradation and Inhibitors 3
- Glycosylation and Glycoproteins Research 2
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- Multiple Myeloma Research and Treatments 8
- Co-authors
- Bart Barlogie (10 shared papers)John D. Shaughnessy (5 shared papers)Joshua Epstein (7 shared papers)Yan Zeng (2 shared papers)Pei Pei (1 shared paper)Xu Wu (2 shared papers)Haoyan Cheng (1 shared paper)Zhihong Zhu (2 shared papers)
- Journals
- Blood (7 papers)Clinical Cancer Research (2 papers)Epidemiology and Infection (1 paper)British Journal of Cancer (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Pingping Qu
19 papers receiving 284 citations
Peers
Comparison fields: 5 of 69
- Electrochemistry 35
- Hematology 59
- Statistics and Probability 21
- Business and International Management 5
- Immunology 43
Countries citing papers authored by Pingping Qu
This map shows the geographic impact of Pingping Qu'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 Pingping Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Qu more than expected).
Fields of papers citing papers by Pingping Qu
This network shows the impact of papers produced by Pingping Qu. 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 Pingping Qu. The network helps show where Pingping Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingping Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 64 | |
| 2 | 2019 | 54 | |
| 3 | 2011 | 50 | |
| 4 | 2012 | 31 | |
| 5 | 2018 | 27 | |
| 6 | 2018 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 6 | |
| 9 | Knockouts of Drought Sensitive Genes Improve Rice Grain Yield under both Drought and Well-Watered Field Conditions | 2020 | 4 |
| 10 | 2017 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2010 | 3 | |
| 13 | 2008 | 2 | |
| 14 | 2009 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2008 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2015 | 1 |
About Pingping Qu
Pingping Qu is a scholar working on Molecular Biology, Hematology, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 293 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Protein Degradation and Inhibitors (3 papers), Electrochemical sensors and biosensors (2 papers), Hematological disorders and diagnostics (2 papers), Glycosylation and Glycoproteins Research (2 papers), Statistical Methods in Clinical Trials (2 papers), Cancer Genomics and Diagnostics (2 papers) and Bone and Joint Diseases (2 papers). The work is most often cited by research in Electrochemistry (35 citations), Hematology (59 citations), Statistics and Probability (21 citations), Business and International Management (5 citations) and Immunology (43 citations). Pingping Qu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Bart Barlogie, John D. Shaughnessy, Joshua Epstein, Yan Zeng, Pei Pei, Xu Wu, Haoyan Cheng, Zhihong Zhu, Wei Xiong and Shigeyuki Matsui. Their work appears in journals such as Blood, Clinical Cancer Research, Epidemiology and Infection, British Journal of Cancer 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.