Pingping Wang

72 papers receiving 566 citations

Peers

Pingping Wang
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 68
  • Hepatology 27
  • Neurology 36
  • Complementary and alternative medicine 20
  • Molecular Biology 174
Replace Qiaoyun Shi with:
Qiaoyun Shi China
Caterina Loredana Mammola Italy
In Jun Yeo South Korea
Hao Feng China
Matthew Nichols Canada
Sang Ah Yi South Korea
So Jin Bing South Korea
Fernanda O. Lemos Brazil
Johannes Delp Germany
Bin-Bin Zhao China
Pingping Wang relative to Qiaoyun Shi China Qiaoyun Shi's profile →
Citations per field
00.5×4.6×
Qiaoyun Shi · 1×
Citations per year

Countries citing papers authored by Pingping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pingping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 202340
3 200740
4 200938
5 201436
6 202234
7
Expression of CXC chemokine IP-10 in patients with chronic hepatitis B.
200827
8 201922
9 201921
10 202017
11
Relationship between the expression of IP-10 and IP-10 mRNA in peripheral blood and HBV DNA level in patients with cirrhosis.
201012
12 201812
13 202210
14 201210
15 20209
16 20209
17 20249
18 20218
19 20137
20 20247

About Pingping Wang

Pingping Wang is a scholar working on Molecular Biology, Epidemiology, Neurology, Pulmonary and Respiratory Medicine and Food Science, having authored 80 papers that have together received 572 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Liver physiology and pathology (3 papers), Nuclear Receptors and Signaling (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Acute Ischemic Stroke Management (3 papers), Microencapsulation and Drying Processes (2 papers) and Drug Solubulity and Delivery Systems (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (68 citations), Hepatology (27 citations), Neurology (36 citations), Complementary and alternative medicine (20 citations) and Molecular Biology (174 citations). Pingping Wang has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Guanghui Wang, Jian Wang, Xiong Fu, Tao Zhang, Chunying Chen, Zhenxing Wang, Haigang Ren, Jun Fan, Robin Wang and Yumin Luo. Their work appears in journals such as Chinese Journal of Integrative Medicine, Frontiers in Immunology, Frontiers in Physiology, Journal of Agricultural and Food Chemistry and Frontiers in Public Health.

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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