Kun-Ming Chen

32 papers receiving 455 citations

Peers

Kun-Ming Chen
Comparison fields: 5 of 76
  • Otorhinolaryngology 43
  • Cancer Research 128
  • Biochemistry 50
  • Periodontics 35
  • Toxicology 22
Replace Wieslawa Kosinska with:
Wieslawa Kosinska United States
Yuan‐Wan Sun United States
Upendra M. Rawal India
Gary D. Stoner United States
P. Vidjaya Letchoumy India
Nur Özten Kandaş Türkiye
E. S. Kim United States
B. Velmurugan India
Joseph E. Ocando United States
Shyam N. Sundar United States
Kun-Ming Chen relative to Wieslawa Kosinska United States Wieslawa Kosinska's profile →
Citations per field
00.5×3.0×
Wieslawa Kosinska · 1×
Citations per year

Countries citing papers authored by Kun-Ming Chen

Since Specialization
Citations

This map shows the geographic impact of Kun-Ming 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-Ming 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-Ming Chen more than expected).

Fields of papers citing papers by Kun-Ming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201642
2 201135
3 201335
4 201628
5 201722
6 200722
7 202020
8 202120
9 200519
10 202018
11 201518
12 201618
13 201417
14 201716
15 201516
16 200713
17 202312
18 200511
19 200610
20 200810

About Kun-Ming Chen

Kun-Ming Chen is a scholar working on Molecular Biology, Cancer Research, Oncology, Otorhinolaryngology and Nutrition and Dietetics, having authored 34 papers that have together received 463 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (9 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Head and Neck Cancer Studies (6 papers), Cancer-related Molecular Pathways (5 papers), Cancer therapeutics and mechanisms (4 papers), Oral Health Pathology and Treatment (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Toxic Organic Pollutants Impact (3 papers). The work is most often cited by research in Otorhinolaryngology (43 citations), Cancer Research (128 citations), Biochemistry (50 citations), Periodontics (35 citations) and Toxicology (22 citations). Kun-Ming Chen has collaborated with scholars based in United States, India and Myanmar. Frequent co-authors include Yuan‐Wan Sun, Karam El‐Bayoumy, Shantu Amin, César Aliaga, Joseph B. Guttenplan, Krishne Gowda, Chul‐Hoon Kwon, Gary D. Stoner, Arun Sharma and Wieslawa Kosinska. Their work appears in journals such as Chemical Research in Toxicology, Cancer Prevention Research, Chemico-Biological Interactions, Molecular Pharmaceutics and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

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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