Kunpeng Du

577 citations
40 papers · 382 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • Epigenetics and DNA Methylation 4
    • RNA modifications and cancer 3
    • Fibroblast Growth Factor Research 2
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Cells and Metastasis 2

Kunpeng Du

32 papers receiving 380 citations

Peers

Kunpeng Du
Comparison fields: 5 of 76
  • Cancer Research 75
  • Oncology 106
  • Immunology 53
  • Molecular Biology 157
  • Biological Psychiatry 5
Replace Bofang Wang with:
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Citations per field
00.5×
Bofang Wang · 1×
Citations per year

Countries citing papers authored by Kunpeng Du

Since Specialization
Citations

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

Fields of papers citing papers by Kunpeng Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202241
2 202237
3 202232
4 202131
5 202130
6 202329
7 202126
8 202121
9 202217
10
Babaodan inhibits cell growth by inducing autophagy through the PI3K/AKT/mTOR pathway and enhances antitumor effects of cisplatin in NSCLC cells.
201917
11 202215
12 202015
13 202214
14 202212
15 20218
16 20228
17 20227
18 20214
19 20222
20 20222

About Kunpeng Du

Kunpeng Du is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Cancer Research, having authored 40 papers that have together received 382 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (2 papers), Head and Neck Cancer Studies (2 papers), Manufacturing Process and Optimization (2 papers), Cancer Cells and Metastasis (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Cancer Research (75 citations), Oncology (106 citations), Immunology (53 citations), Molecular Biology (157 citations) and Biological Psychiatry (5 citations). Kunpeng Du has collaborated with scholars based in China, Cambodia and United States. Frequent co-authors include Baiyao Wang, Yawei Yuan, Chengcong Chen, Chunshan Liu, Jie Lin, Mei-Ling Ai, Muhammad Khan, Tao Xie, Bohong Cen and Yunhong Tian. Their work appears in journals such as Frontiers in Immunology, The International Journal of Advanced Manufacturing Technology, Scientific Reports, The Breast Journal and Advanced Functional 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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