Xing‐Lou Yang

48.3k citations
71 papers · 5.4k indexed · 3 hit papers · h-index 27
Topics
Viral gastroenteritis research and epidemiology (31 papers)SARS-CoV-2 and COVID-19 Research (25 papers)Animal Virus Infections Studies (25 papers)

In The Last Decade

Xing‐Lou Yang

69 papers receiving 5.3k citations

Hit Papers

Molecular and serological investigation...20132026201720212020201320174008001.2k

Peers

Xing‐Lou Yang
Comparison fields: 5 of 147
  • Infectious Diseases 4.2k
  • Animal Science and Zoology 1.1k
  • Epidemiology 477
  • Molecular Biology 467
  • Neurology 456
Replace Deyin Guo with:
Deyin Guo China
Shuo Su China
V. Stalin Raj Netherlands
Julian Druce Australia
Ben Hu China
Rachel L. Graham United States
Lisa E. Gralinski United States
Vineet D. Menachery United States
Ronald Dijkman Switzerland
Doreen Muth Germany
Xing‐Lou Yang relative to Deyin Guo China Deyin Guo's profile →
Citations per field
00.5×1.5×
Deyin Guo · 1×
Citations per year

Countries citing papers authored by Xing‐Lou Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xing‐Lou Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing‐Lou Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xing‐Lou Yang. A scholar is included among the top collaborators of Xing‐Lou Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xing‐Lou Yang. Xing‐Lou Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 11
3 3
4 1
5 1
6 42
7 19
8 3
9 16
10 47
11
Molecular and serological investigation of 2019-nCoV infected patients: implication of multiple shedding routesbreakdown →
1262
12 82
13 23
14 24
15 20
16 100
17 101
18 44
19 8
20 167

About Xing‐Lou Yang

Xing‐Lou Yang is a scholar working on Infectious Diseases, Animal Science and Zoology and Virology, having authored 71 papers that have together received 5.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (31 papers), SARS-CoV-2 and COVID-19 Research (25 papers) and Animal Virus Infections Studies (25 papers). The work is most often cited by research in Infectious Diseases (4.2k citations), Animal Science and Zoology (1.1k citations) and Modeling and Simulation (442 citations). Xing‐Lou Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zheng‐Li Shi, Ben Hu, Bei Li, Peng Zhou, Lin‐Fa Wang, Wei Zhang, Xiao-Shuang Zheng, Peter Daszak, Bing Yan and Wei Zhang. Their work appears in journals such as Nature, Cell and Nature Communications.

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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