Baijun Sun

879 citations
25 papers · 632 · h-index 13

Impact in

Papers in

Baijun Sun

24 papers receiving 619 citations

Peers

Baijun Sun
Comparison fields: 5 of 88
  • Health, Toxicology and Mutagenesis 389
  • Environmental Engineering 87
  • Pollution 65
  • Modeling and Simulation 23
  • Speech and Hearing 23
Replace Robert Mathes with:
Robert Mathes United States
Heather Strosnider United States
Trenton Honda United States
Tran Minh Dien Vietnam
Weihua Wang China
Jacob S. Lefler United States
Tak-Wing Lau Hong Kong
Siqi Ai China
Édouard Chatignoux France
King Pan Chan Hong Kong
Baijun Sun relative to Robert Mathes United States Robert Mathes's profile →
Citations per field
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Citations per year

Countries citing papers authored by Baijun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Baijun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Baijun Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Baijun Sun Line = papers co-authored together Baijun Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011157
2 201198
3 202049
4 201946
5 201845
6 201942
7 202138
8 202035
9 202327
10 201919
11 202016
12 201714
13 201912
14 20237
15 20207
16 20236
17
[Clinical observation of peripheral facial palsy treated with electro-acupuncture based on surface electromyography].
20153
18
[Effect of haidonghua powder(HDHP) on hypothalamic obesity in rats].
20003
19 20242
20 20232

About Baijun Sun

Baijun Sun is a scholar working on Health, Toxicology and Mutagenesis, Infectious Diseases, Epidemiology, Health and General Health Professions, having authored 25 papers that have together received 632 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (8 papers), Climate Change and Health Impacts (5 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Vaccine Coverage and Hesitancy (3 papers), Global Health Care Issues (3 papers), Immune responses and vaccinations (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (389 citations), Environmental Engineering (87 citations), Pollution (65 citations), Modeling and Simulation (23 citations) and Speech and Hearing (23 citations). Baijun Sun has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jie Chen, Pengfei Zhang, Fei Yu, Huimin Guo, Naijun Tang, Hui Huang, Liwen Zhang, Yungling Leo Lee, Guang‐Hui Dong and Huijie Chen. Their work appears in journals such as Environmental Science and Pollution Research, Medicine, Epidemiology and Infection, International Journal of Environmental Research and Public Health and Atmospheric Environment.

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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