Kun Chen

5.9k citations
242 papers · 4.2k indexed · h-index 36

Kun Chen

227 papers receiving 4.2k citations

Peers

Kun Chen
Comparison fields: 5 of 189
  • Health, Toxicology and Mutagenesis 1.3k
  • Speech and Hearing 243
  • Health 252
  • Pollution 308
  • Cancer Research 302
Replace Gonghuan Yang with:
Gonghuan Yang China
Jianbing Wang China
Lap Ah Tse Hong Kong
Linda Valeri United States
Marc Chadeau‐Hyam United Kingdom
W. Lawrence Beeson United States
Jinlei Qi China
Jiangmei Liu China
Xia Wan China
Lijun Wang China
Kun Chen relative to Gonghuan Yang China Gonghuan Yang's profile →
Citations per field
00.5×3.7×
Gonghuan Yang · 1×
Citations per year

Countries citing papers authored by Kun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20251
4 20241
5 20244
6 20245
7 20241
8 20231
9 20237
10 20198
11
Simulation of potential suitable distribution of endangered waterfowl and its gap analysis of national nature reserves in Beijing-Tianjin-Hebei region under climate change scenarios.
20192
12 20170
13 20161
14 201446
15 201432
16
Spatial distribution patterns of pulmonary tuberculosis incidence in Zhejiang province:spatial autocorrelation analysis
20132
17
The therapeutic effect of Nitazoxanide on the dogs infected with Giardia canis.
20091
18
[Scan statistic theory and its application in spatial epidemiology].
20082
19 20065
20
[Relationship between organochlorine pollution in soil and rice and the incidence of colorectal cancer in Jiashan county, Zhejiang province].
20048

About Kun Chen

Kun Chen is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing and Transportation, having authored 242 papers that have together received 4.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (40 papers), Climate Change and Health Impacts (24 papers), Noise Effects and Management (15 papers), Colorectal Cancer Screening and Detection (14 papers), Urban Transport and Accessibility (12 papers), Health disparities and outcomes (12 papers), Genetic factors in colorectal cancer (10 papers) and Effects and risks of endocrine disrupting chemicals (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.3k citations), Speech and Hearing (243 citations) and Health (252 citations). Kun Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mingjuan Jin, Jianbing Wang, Mengling Tang, Hongbo Lin, Zhebin Yu, Die Li, Ding Ye, Peng Shen, Suminori Kono and Xinyuan Ma. Their work appears in journals such as The Science of The Total Environment, Environmental Science and Pollution Research, Environmental Pollution, PLoS ONE and Environmental Research.

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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