Jun Yang

8.4k citations
143 papers · 5.9k indexed · 2 hit papers · h-index 43

Jun Yang

139 papers receiving 5.8k citations

Hit Papers

Projecting heat-related excess mortality under climate...210201820262020202350100150200250

Peers

Jun Yang
Comparison fields: 5 of 180
  • Health, Toxicology and Mutagenesis 3.8k
  • Environmental Engineering 935
  • Modeling and Simulation 201
  • General Health Professions 1.1k
  • Health 317
Replace Cunrui Huang with:
Cunrui Huang China
Chun‐Quan Ou China
Wenjun Ma China
Zhiwei Xu China
Tao Liu China
Hualiang Lin China
Frank C. Curriero United States
Jianpeng Xiao China
Masahiro Hashizume Japan
Weilin Zeng China
Jun Yang relative to Cunrui Huang China Cunrui Huang's profile →
Citations per field
00.5×1.6×
Cunrui Huang · 1×
Citations per year

Countries citing papers authored by Jun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jun Yang, 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 Jun Yang Line = papers co-authored together Jun Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20243
4 20241
5 20242
6 20246
7 20246
8 20233
9 202321
10 202314
11 202290
12 202210
13 202133
14 202113
15 202016
16 202062
17 202038
18 20166
19 2012197
20
Characteristics of PM10 Pollution at Four Provincial Cities in Yangtze River Delta District
20083

About Jun Yang

Jun Yang is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions, Health, Speech and Hearing and Modeling and Simulation, having authored 143 papers that have together received 5.9k indexed citations. Recurring topics across this work include Climate Change and Health Impacts (88 papers), Air Quality and Health Impacts (77 papers), Global Health Care Issues (38 papers), Thermoregulation and physiological responses (15 papers), Viral Infections and Vectors (11 papers), Health disparities and outcomes (10 papers), Energy and Environment Impacts (9 papers) and Fire effects on ecosystems (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (3.8k citations), Environmental Engineering (935 citations), Modeling and Simulation (201 citations), General Health Professions (1.1k citations) and Health (317 citations). Jun Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qiyong Liu, Chun‐Quan Ou, Mengmeng Li, Yuming Guo, Peng Yin, Boguang Wang, Maigeng Zhou, Shaohua Gu, Haixia Wu and Pingyan Chen. Their work appears in journals such as The Science of The Total Environment, Environmental Pollution, Environmental Research, Environment International and International Journal of Environmental Research and Public Health.

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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