Jun Cai

9.0k total citations · 2 hit papers
114 papers, 3.8k citations indexed

About

Jun Cai is a scholar working on Molecular Biology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Jun Cai has authored 114 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Modeling and Simulation and 15 papers in Infectious Diseases. Recurrent topics in Jun Cai's work include COVID-19 epidemiological studies (17 papers), Atmospheric chemistry and aerosols (11 papers) and Air Quality and Health Impacts (9 papers). Jun Cai is often cited by papers focused on COVID-19 epidemiological studies (17 papers), Atmospheric chemistry and aerosols (11 papers) and Air Quality and Health Impacts (9 papers). Jun Cai collaborates with scholars based in China, United States and Belgium. Jun Cai's co-authors include Bing Xu, Dwight A. Towler, Ziyue Chen, Jian-Su Shao, Bingbo Gao, Bin He, Danlu Chen, Xiaoming Xie, Yan Zhuang and Бин Чэн and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Jun Cai

103 papers receiving 3.7k citations

Hit Papers

Influence of meteorological conditions on PM2.5 concentra... 2020 2026 2022 2024 2020 2022 100 200 300 400

Peers

Jun Cai
Comparison fields: 5 of 177
  • Health, Toxicology and Mutagenesis 924
  • Atmospheric Science 704
  • Molecular Biology 698
  • Environmental Engineering 649
  • Global and Planetary Change 481
Replace Allan C. Just with:
Allan C. Just United States
Joan Ballester Spain
Sally W. Thurston United States
Robyn Lucas Australia
Song Tang China
Myles Cockburn United States
Yoonhee Kim South Korea
Xiaowen Wang China
Naiqing Zhao China
Yongjie Wei China
Allan C. Just United States View profile →
Citations per field, relative to Jun Cai
Jun Cai · 1×
Citations per year, relative to Jun Cai
Jun Cai · 1×

Countries citing papers authored by Jun Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Cai. A scholar is included among the top collaborators of Jun Cai 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 Jun Cai. Jun Cai 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 0
4 0
5 4
6 34
7 2
8 29
9 27
10 65
11 7
12 37
13 16
14 80
15 1
16 4
17 2
18 33
19 4
20
Negative symptoms in patients with major depressive disorder: a preliminary report.
28

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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