Li Xing

8.3k citations
121 papers · 2.2k indexed · h-index 24

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

Li Xing

109 papers receiving 2.1k citations

Peers

Li Xing
Comparison fields: 5 of 177
  • Infectious Diseases 399
  • Epidemiology 442
  • Immunology 251
  • Cancer Research 160
  • Computational Theory and Mathematics 143
Replace Peter L. Bonate with:
Peter L. Bonate United States
Pantelis G. Bagos Greece
Aleksandr Ianevski Finland
Dennis Wang United States
Christine Lee United States
Bobbie‐Jo Webb‐Robertson United States
Lorenz Wernisch United Kingdom
Weiyong Liu China
Nan Zhong China
Satoshi Sekiguchi Japan
Li Xing relative to Peter L. Bonate United States Peter L. Bonate's profile →
Citations per field
00.5×1.5×
Peter L. Bonate · 1×
Citations per year

Countries citing papers authored by Li Xing

Since Specialization
Citations

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

Fields of papers citing papers by Li Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016182
2 2002136
3 2014129
4 2010113
5 200399
6 201289
7 202275
8 200969
9 200354
10 200848
11 202047
12 201346
13 201446
14 201342
15 200342
16 201640
17 201335
18 202034
19 202131
20 201231

About Li Xing

Li Xing is a scholar working on Epidemiology, Molecular Biology, Immunology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 121 papers that have together received 2.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (20 papers), Respiratory viral infections research (17 papers), Immune Response and Inflammation (11 papers), Viral gastroenteritis research and epidemiology (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Financial Markets and Investment Strategies (5 papers), Neonatal Respiratory Health Research (5 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Infectious Diseases (399 citations), Epidemiology (442 citations), Immunology (251 citations), Cancer Research (160 citations) and Computational Theory and Mathematics (143 citations). Li Xing has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Robert C. Glen, Xuekui Zhang, Xiliang Wang, Ruijin Ma, Kaichang Di, Penghui Yang, Don D. Sin, Yueqiang Duan, Zhongpeng Zhao and Shaogeng Zhang. Their work appears in journals such as PLoS ONE, Scientific Reports, International Journal of Radiation Oncology*Biology*Physics, Multimedia Tools and Applications and Vaccine.

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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