Ping Qing

1.8k citations
72 papers · 1.3k · h-index 20

Impact in

Papers in

Ping Qing

68 papers receiving 1.2k citations

Peers

Ping Qing
Comparison fields: 5 of 100
  • Surgery 497
  • Cardiology and Cardiovascular Medicine 234
  • Endocrinology, Diabetes and Metabolism 167
  • Sensory Systems 49
  • Cancer Research 78
Replace Xiaohong Yang with:
Xiaohong Yang United States
Iryna Voloshyna United States
Chiara Cuccurullo Italy
Viji Nair United States
Eliana Polisecki United States
Himanshu Gupta United States
Mamoru Miura Japan
Wen Chen China
Yi‐Da Tang China
Ping Qing relative to Xiaohong Yang United States Xiaohong Yang's profile →
Citations per field
00.5×6.1×
Xiaohong Yang · 1×
Citations per year

Countries citing papers authored by Ping Qing

Since Specialization
Citations

This map shows the geographic impact of Ping Qing'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 Qing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Qing more than expected).

Fields of papers citing papers by Ping Qing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping Qing. 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 Qing. The network helps show where Ping Qing may publish in the future.

Co-authors

The 25 scholars most cited alongside Ping Qing, 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 Ping Qing Line = papers co-authored together Ping Qing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014103
2 201578
3 201470
4 200168
5 201765
6 201653
7 201651
8 201449
9 201748
10 201544
11 201442
12 201630
13 201627
14 201327
15 202327
16 201726
17 201725
18 201423
19 201720
20 201620

About Ping Qing

Ping Qing is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Oncology, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Cancer, Lipids, and Metabolism (4 papers), Blood properties and coagulation (4 papers), Acute Myocardial Infarction Research (3 papers), Nitric Oxide and Endothelin Effects (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Surgery (497 citations), Cardiology and Cardiovascular Medicine (234 citations), Endocrinology, Diabetes and Metabolism (167 citations), Sensory Systems (49 citations) and Cancer Research (78 citations). Ping Qing has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Cheng‐Gang Zhu, Na‐Qiong Wu, Yuan‐Lin Guo, Rui‐Xia Xu, Jian‐Jun Li, Sha Li, Jing Sun, Qian Dong, Geng Liu and Xiaolin Li. Their work appears in journals such as Journal of clinical lipidology, Scientific Reports, PLoS ONE, Atherosclerosis and Oncotarget.

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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