Min Kong

2.3k citations
52 papers · 602 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Esophageal Cancer Research and Treatment

Papers in

    • Esophageal Cancer Research and Treatment 5
    • Kawasaki Disease and Coronary Complications 4
    • Salivary Gland Tumors Diagnosis and Treatment 3
    • Genomics, phytochemicals, and oxidative stress 3
    • Circular RNAs in diseases 3
    • Heme Oxygenase-1 and Carbon Monoxide 2

Min Kong

50 papers receiving 596 citations

Peers

Min Kong
Comparison fields: 5 of 68
  • Cancer Research 167
  • Surgery 167
  • Molecular Biology 273
  • Pulmonary and Respiratory Medicine 89
  • Complementary and alternative medicine 16
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Citations per field
00.5×4.6×
Lianyue Guan · 1×
Citations per year

Countries citing papers authored by Min Kong

Since Specialization
Citations

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

Fields of papers citing papers by Min Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201591
2 201465
3 201353
4 201924
5 202224
6 201922
7 201321
8 201718
9 201617
10 201916
11 202115
12 202314
13 202212
14 201712
15 201511
16 202211
17 202010
18 202110
19 202010
20 20199

About Min Kong

Min Kong is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 52 papers that have together received 602 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (5 papers), Kawasaki Disease and Coronary Complications (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Circular RNAs in diseases (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Pain Mechanisms and Treatments (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (167 citations), Surgery (167 citations), Molecular Biology (273 citations), Pulmonary and Respiratory Medicine (89 citations) and Complementary and alternative medicine (16 citations). Min Kong has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Baofu Chen, Chengchu Zhu, Chengzhi He, Siqi Hong, Jian‐Guang Luo, Jun Hu, Jianfei Shen, Li Cheng, Li Jiang and Jian Zhang. Their work appears in journals such as Annals of Translational Medicine, Journal of Surgical Oncology, Immunological Investigations, Journal of Pain Research and Free Radical Biology 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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