Min Kong

2.2k citations
54 papers · 590 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Muscle Physiology and Disorders

Papers in

    • Esophageal Cancer Research and Treatment 7
    • Kawasaki Disease and Coronary Complications 4
    • Esophageal and GI Pathology 4
    • Salivary Gland Tumors Diagnosis and Treatment 3
    • Gastric Cancer Management and Outcomes 6

Min Kong

50 papers receiving 584 citations

Peers

Min Kong
Comparison fields: 5 of 73
  • Cancer Research 185
  • Molecular Biology 313
  • Surgery 191
  • Pulmonary and Respiratory Medicine 136
  • Oncology 68
Replace Tomokazu Tanaka with:
Tomokazu Tanaka Japan
Dipti Athavale United States
Lijun Sun China
Yahan Liu China
Ni‐Wei Chen China
Min Kong relative to Tomokazu Tanaka Japan Tomokazu Tanaka's profile →
Citations per field
00.5×1.5×
Tomokazu Tanaka · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201591
2 201465
3 201353
4 201923
5 202223
6 201921
7 201320
8 201718
9 201617
10 201916
11 202115
12 202312
13 201712
14 202212
15 201511
16 202010
17 202110
18 202210
19 20209
20 20199

About Min Kong

Min Kong is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Pathology and Forensic Medicine, having authored 54 papers that have together received 590 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (7 papers), Gastric Cancer Management and Outcomes (6 papers), Kawasaki Disease and Coronary Complications (4 papers), Esophageal and GI Pathology (4 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers) and Glutathione Transferases and Polymorphisms (3 papers). The work is most often cited by research in Cancer Research (185 citations), Molecular Biology (313 citations), Surgery (191 citations), Pulmonary and Respiratory Medicine (136 citations) and Oncology (68 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, Jianfei Shen, Li Cheng, Jun Hu, Siqi Hong, Jian‐Guang Luo, Jian Zhang and Li Jiang. Their work appears in journals such as Annals of Translational Medicine, Immunological Investigations, Journal of Surgical Oncology, Redox Report and Journal of Thoracic Oncology.

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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