Pingping Qu

4.0k citations
83 papers · 1.8k indexed · h-index 23

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Marine and coastal ecosystems
    • Marine Biology and Ecology Research

Papers in

Pingping Qu

76 papers receiving 1.8k citations

Peers

Pingping Qu
Comparison fields: 5 of 150
  • Hematology 295
  • Oceanography 266
  • Fluid Flow and Transfer Processes 92
  • Oncology 398
  • Environmental Chemistry 118
Replace Huan Zhang with:
Huan Zhang China
Ayako Nakajima Japan
Hiroshi Sasaki Japan
Jianlin Zhang China
Yuanyuan Chen China
Manish Agrawal India
Cristina Battaglia Italy
Lu Zhao China
Nobuo Yamada Japan
Yoshitaka Yoshimura Japan
Pingping Qu relative to Huan Zhang China Huan Zhang's profile →
Citations per field
00.5×20×40×60×80×92×
Huan Zhang · 1×
Citations per year

Countries citing papers authored by Pingping Qu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pingping Qu Line = papers co-authored together Pingping Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011127
2
Associations of energy, fat, calcium, and vitamin D with prostate cancer risk.
2002124
3 2011105
4 2020105
5 2022101
6 201783
7 200480
8 201863
9 201561
10 202157
11 200555
12 200752
13 201245
14 201942
15 202236
16 201934
17 201534
18 201228
19 202226
20 201726

About Pingping Qu

Pingping Qu is a scholar working on Hematology, Oceanography, Anatomy, Environmental Chemistry and Oncology, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Nanofluid Flow and Heat Transfer (11 papers), Marine and coastal ecosystems (10 papers), Protein Degradation and Inhibitors (8 papers), Heat Transfer Mechanisms (7 papers), Heat Transfer and Optimization (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Hematology (295 citations), Oceanography (266 citations), Fluid Flow and Transfer Processes (92 citations), Oncology (398 citations) and Environmental Chemistry (118 citations). Pingping Qu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include David A. Hutchins, Fei‐Xue Fu, Bart Barlogie, John D. Shaughnessy, Liang Zhang, Alan R. Kristal, Jennifer Cohen, Janet L. Stanford, Joshua Epstein and John Crowley. Their work appears in journals such as Blood, Journal of Clinical Oncology, The ISME Journal, Frontiers in Plant Science and Fuel.

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.

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