Cuiping Song

3.5k total citations · 1 hit paper
110 papers, 2.5k citations indexed

About

Cuiping Song is a scholar working on Epidemiology, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Cuiping Song has authored 110 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Epidemiology, 36 papers in Molecular Biology and 35 papers in Animal Science and Zoology. Recurrent topics in Cuiping Song's work include Virology and Viral Diseases (34 papers), Animal Virus Infections Studies (33 papers) and Virus-based gene therapy research (21 papers). Cuiping Song is often cited by papers focused on Virology and Viral Diseases (34 papers), Animal Virus Infections Studies (33 papers) and Virus-based gene therapy research (21 papers). Cuiping Song collaborates with scholars based in China, United Kingdom and Pakistan. Cuiping Song's co-authors include Chan Ding, Lei Tan, Yingjie Sun, Xusheng Qiu, Yanping Song, Ying Liao, Chunchun Meng, Shengqing Yu, Yuan Zhan and Hongjun Chen and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Cuiping Song

101 papers receiving 2.5k citations

Hit Papers

Enhancing academic writing skills and motivation: assessi... 2023 2026 2024 2025 2023 50 100 150 200 250

Peers

Cuiping Song
Comparison fields: 5 of 139
  • Epidemiology 871
  • Molecular Biology 740
  • Animal Science and Zoology 662
  • Infectious Diseases 586
  • Immunology 523
Replace Lei Tan with:
Lei Tan China
Chunchun Meng China
Muhammad Munir United Kingdom
Hongbin He China
Huijun Lu China
Ryan S. Noyce Canada
Ping Jiang China
Jiang Du China
Kevin M. Coombs Canada
Juan E. Abrahante United States
Lei Tan China View profile →
Citations per field, relative to Cuiping Song
Cuiping Song · 1×
Citations per year, relative to Cuiping Song
Cuiping Song · 1×

Countries citing papers authored by Cuiping Song

Since Specialization
Citations

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

Fields of papers citing papers by Cuiping Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuiping Song

This figure shows the co-authorship network connecting the top 25 collaborators of Cuiping Song. A scholar is included among the top collaborators of Cuiping 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 Cuiping Song. Cuiping 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 1
2 0
3 0
4 1
5 2
6 2
7 1
8 5
9 7
10 8
11 29
12 30
13 5
14 22
15 15
16 44
17 1
18 1
19 47
20 17

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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