Xiaohui Song

3.6k total citations
27 papers, 386 citations indexed

About

Xiaohui Song is a scholar working on Epidemiology, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, Xiaohui Song has authored 27 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Nature and Landscape Conservation. Recurrent topics in Xiaohui Song's work include Ecology and Vegetation Dynamics Studies (4 papers), Virus-based gene therapy research (3 papers) and Influenza Virus Research Studies (3 papers). Xiaohui Song is often cited by papers focused on Ecology and Vegetation Dynamics Studies (4 papers), Virus-based gene therapy research (3 papers) and Influenza Virus Research Studies (3 papers). Xiaohui Song collaborates with scholars based in China, Canada and Mongolia. Xiaohui Song's co-authors include Haixia Xiao, George F. Gao, Hongliang Li, Fang Lei, Jingjing Cai, Chuanbin Wang, Xiao‐Jing Zhang, Lihua Guo, Beiwen Zheng and Chunyan Feng and has published in prestigious journals such as The Science of The Total Environment, Analytica Chimica Acta and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Xiaohui Song

24 papers receiving 381 citations

Peers

Xiaohui Song
Comparison fields: 5 of 92
  • Epidemiology 172
  • Agronomy and Crop Science 106
  • Infectious Diseases 96
  • Pulmonary and Respiratory Medicine 43
  • Animal Science and Zoology 39
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Citations per field, relative to Xiaohui Song
Xiaohui Song · 1×
Citations per year, relative to Xiaohui Song
Xiaohui Song · 1×

Countries citing papers authored by Xiaohui Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Song. A scholar is included among the top collaborators of Xiaohui Song 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 Xiaohui Song. Xiaohui Song 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
# Work Indexed citations
1 0
2 0
3 3
4 2
5 4
6 3
7 9
8 5
9 11
10 69
11 4
12 8
13 22
14
Serological investigation of caprine arthritis encephalitis and ovine progressive pneumoniina in 11 provinces of China.
3
15
Responses of plant above and underground productivity of Stipa breviflora desert steppe to stocking rates and precipitation.
1
16 26
17 23
18 24
19 0
20
The research of gold-immunochromatography for CPV diagnostic
1

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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