Kunpeng Chen

819 citations
37 papers · 391 · h-index 13

Impact in

Papers in

Kunpeng Chen

33 papers receiving 386 citations

Peers

Kunpeng Chen
Comparison fields: 5 of 81
  • Health, Toxicology and Mutagenesis 139
  • Internal Medicine 34
  • Atmospheric Science 156
  • Environmental Chemistry 50
  • Neurology 43
Replace Nancy V. Rodway with:
Nancy V. Rodway United States
Jongchul Kim South Korea
Richard Mayer Germany
Jai H. Lee United States
Yongbao Zhang China
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Kunpeng Chen relative to Nancy V. Rodway United States Nancy V. Rodway's profile →
Citations per field
00.5×8.9×
Nancy V. Rodway · 1×
Citations per year

Countries citing papers authored by Kunpeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kunpeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202037
2 201730
3 202330
4 202222
5 202221
6 202020
7 202119
8 202019
9 202219
10 202018
11 202018
12 202416
13 202316
14 202212
15 202411
16 201911
17 20248
18 20228
19 20218
20 20228

About Kunpeng Chen

Kunpeng Chen is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Epidemiology and Neurology, having authored 37 papers that have together received 391 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (20 papers), Air Quality and Health Impacts (10 papers), Atmospheric Ozone and Climate (10 papers), Cerebrovascular and Carotid Artery Diseases (9 papers), Acute Ischemic Stroke Management (7 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Per- and polyfluoroalkyl substances research (3 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (139 citations), Internal Medicine (34 citations), Atmospheric Science (156 citations), Environmental Chemistry (50 citations) and Neurology (43 citations). Kunpeng Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ying‐Hsuan Lin, Haofei Zhang, Peng Qi, Jun Lü, R. Bahreini, Daming Wang, Shen Hu, Jin Y. Chen, Alexa Canchola and Jinyong Liu. Their work appears in journals such as Aerosol Science and Technology, Frontiers in Neurology, Environmental Science & Technology, Chemical Research in Toxicology and Journal of Hazardous Materials.

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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