Lidong Gao

3.3k citations
39 papers · 851 indexed · h-index 15
Topics
Viral Infections and Vectors (14 papers)Influenza Virus Research Studies (9 papers)Animal Disease Management and Epidemiology (7 papers)

In The Last Decade

Lidong Gao

38 papers receiving 838 citations

Peers

Lidong Gao
Comparison fields: 5 of 96
  • Infectious Diseases 460
  • Modeling and Simulation 279
  • Epidemiology 219
  • Global and Planetary Change 143
  • Agronomy and Crop Science 121
Replace Li-Qun Fang with:
Li-Qun Fang China
Vernon Lee Singapore
Boris Pavlin United States
Jianyun Lu China
Debbie Eagles Australia
Kuibiao Li China
Benjamin D. Anderson United States
King-Pan Chan Hong Kong
Xiaoli Wang China
Joanne Enstone United Kingdom
Lidong Gao relative to Li-Qun Fang China Li-Qun Fang's profile →
Citations per field
00.5×1.5×
Li-Qun Fang · 1×
Citations per year

Countries citing papers authored by Lidong Gao

Since Specialization
Citations

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

Fields of papers citing papers by Lidong Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lidong Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Lidong Gao. A scholar is included among the top collaborators of Lidong Gao 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 Lidong Gao. Lidong Gao 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 5
2 1
3 4
4 243
5
The discovery of XinBarag Right Banner ductile shear zone in northern Da Hinggan Mountains and its geological implications
0
6 1
7 20
8 75
9
Classification and Geological Significance of the Upper Jurassic HaritaolegaiFormation Basalt in the Northern Da Hinggan Mountains
1
10 14
11 2
12 20
13 7
14 16
15 22
16 13
17 77
18 3
19 16
20 53

About Lidong Gao

Lidong Gao is a scholar working on Infectious Diseases, Modeling and Simulation and Virology, having authored 39 papers that have together received 851 indexed citations. Recurring topics across this work include Viral Infections and Vectors (14 papers), Influenza Virus Research Studies (9 papers) and Animal Disease Management and Epidemiology (7 papers). The work is most often cited by research in Modeling and Simulation (279 citations), Infectious Diseases (460 citations) and Agronomy and Crop Science (121 citations). Lidong Gao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shixiong Hu, Huaiyu Tian, Kaiwei Luo, Hong Xiao, Yiwei Huang, Qianlai Sun, Zhifei Zhan, Maria Litvinova, Cécile Viboud and Xinghui Chen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

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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