Jun Ping Cao

557 citations
29 papers · 445 · h-index 13

Impact in

Papers in

Jun Ping Cao

29 papers receiving 426 citations

Peers

Jun Ping Cao
Comparison fields: 5 of 62
  • Infectious Diseases 73
  • Pulmonary and Respiratory Medicine 105
  • Parasitology 16
  • Gastroenterology 16
  • Neurology 26
Replace Letizia Mezzasoma with:
Letizia Mezzasoma Italy
Mingqian Fang China
Cuiping Xu China
Zhaoxia Li China
Saparna Pai Australia
Alina Zamoshnikova Australia
Tsukasa Yamakawa Japan
Danielle A. S. Rodrigues Brazil
Renjie Song China
Ute Harrison Germany
Jun Ping Cao relative to Letizia Mezzasoma Italy Letizia Mezzasoma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun Ping Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ping Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202049
2 201835
3 201334
4 200633
5 200831
6 201630
7 201526
8 202023
9 202021
10 202120
11 200818
12 201518
13 201917
14 202111
15 202210
16 20109
17 20198
18 20208
19 20208
20 20197

About Jun Ping Cao

Jun Ping Cao is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Cellular and Molecular Neuroscience, Oncology and Hematology, having authored 29 papers that have together received 445 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Gastric Cancer Management and Outcomes (4 papers), Gallbladder and Bile Duct Disorders (4 papers), Bioactive Natural Diterpenoids Research (3 papers), Nuclear Receptors and Signaling (2 papers), Platelet Disorders and Treatments (2 papers), Clinical Laboratory Practices and Quality Control (1 paper) and Pediatric Hepatobiliary Diseases and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (73 citations), Pulmonary and Respiratory Medicine (105 citations), Parasitology (16 citations), Gastroenterology (16 citations) and Neurology (26 citations). Jun Ping Cao has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Dianshuai Gao, Siguo Liu, Xiaoping Zou, Lei Wang, Chunyan Peng, Yonghua Shen, Han Wu, Dong Han, Keji Chen and Xiwei Ding. Their work appears in journals such as Annals of Translational Medicine, PLoS ONE, BMC Gastroenterology, Frontiers in Microbiology and Journal of Integrative Neuroscience.

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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