Kun Chen

64 papers receiving 1.6k citations

Peers

Kun Chen
Comparison fields: 5 of 116
  • Aging 33
  • Environmental Chemistry 170
  • Oncology 347
  • Cancer Research 188
  • Geriatrics and Gerontology 43
Replace Genevieve M. Matanoski with:
Genevieve M. Matanoski United States
Jonathan N. Hofmann United States
Andreas Baierl Austria
Donglin Li China
Marina Kvaskoff France
Pierre Lebailly France
Xi Huang United States
Ruth M. Lunn United States
R. Julian Preston United States
Wei Jie Seow United States
Kun Chen relative to Genevieve M. Matanoski United States Genevieve M. Matanoski's profile →
Citations per field
00.5×5×10×15×19×
Genevieve M. Matanoski · 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-authors

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

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Relationship between microcystin in drinking water and colorectal cancer.
2002221
2 2019142
3 2005134
4 201193
5 201889
6 200367
7 201358
8 202357
9 201251
10 200750
11 202247
12 201144
13 200736
14 201534
15 202234
16 202333
17 201031
18 200829
19 201128
20 201727

About Kun Chen

Kun Chen is a scholar working on Oncology, Environmental Engineering, Pathology and Forensic Medicine, Cancer Research and Genetics, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (11 papers), Global Cancer Incidence and Screening (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Genetic Associations and Epidemiology (4 papers), Palliative Care and End-of-Life Issues (3 papers), Forensic and Genetic Research (3 papers), Fungal Plant Pathogen Control (3 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Aging (33 citations), Environmental Chemistry (170 citations), Oncology (347 citations), Cancer Research (188 citations) and Geriatrics and Gerontology (43 citations). Kun Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lun Zhou, Hai Chuan Yu, Deborah Schrag, Maria J. Schymura, Steven T. Fleming, Beth M Newman, Dmitri Pavlov, Bridget A. Neville, Francis P. Boscoe and Patrick J. Roohan. Their work appears in journals such as Cancer, Journal of Clinical Oncology, Journal of Pain and Symptom Management, Photodiagnosis and Photodynamic Therapy and Medicine.

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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