Yan Xing

442 citations
34 papers · 335 · h-index 10

Impact in

Papers in

    • Cytomegalovirus and herpesvirus research 3
    • Respiratory viral infections research 2
    • Autophagy in Disease and Therapy 2
    • HIV/AIDS Research and Interventions 2

Yan Xing

29 papers receiving 328 citations

Peers

Yan Xing
Comparison fields: 5 of 83
  • Pharmacology 26
  • Epidemiology 100
  • Complementary and alternative medicine 23
  • Neurology 39
  • Infectious Diseases 42
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Citations per field
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Citations per year

Countries citing papers authored by Yan Xing

Since Specialization
Citations

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

Fields of papers citing papers by Yan Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202171
2 202039
3 202036
4 201731
5 201422
6 201720
7 201317
8 202014
9 202313
10 201113
11 20189
12 20218
13 20216
14
[Clinical analysis of pulmonary arterial hypertension secondary to connective tissue disease in children].
20086
15 20195
16
[Clinical characteristics and follow-up of 12 cases with severe chronic active Epstein-Barr virus infection].
20094
17
Community survey, treatment and long-term follow-up for human cystic echinococcosis in northwest China.
20114
18 20183
19 20122
20 20172

About Yan Xing

Yan Xing is a scholar working on Epidemiology, Infectious Diseases, Pathology and Forensic Medicine, Oncology and Artificial Intelligence, having authored 34 papers that have together received 335 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (4 papers), Cytomegalovirus and herpesvirus research (3 papers), HIV/AIDS Research and Interventions (2 papers), Cardiac Imaging and Diagnostics (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Respiratory viral infections research (2 papers), Healthcare Systems and Reforms (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Pharmacology (26 citations), Epidemiology (100 citations), Complementary and alternative medicine (23 citations), Neurology (39 citations) and Infectious Diseases (42 citations). Yan Xing has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jun Liao, Liqun Feng, Xiuli Ma, Jie Zhang, Jianjun Zou, Jing Shang, Weihong Ge, Xiaoquan Liu, Jingyu Liang and Siyuan Li. Their work appears in journals such as Value in Health Regional Issues, Clinical Infectious Diseases, Journal of Cellular Biochemistry, Scientific Reports and Renal Failure.

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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