Chong Du

1.2k citations
43 papers · 940 · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Kruppel-like factors research
    • Epigenetics and DNA Methylation

Papers in

    • Kruppel-like factors research 6
    • Chromatin Remodeling and Cancer 3
    • Pancreatic and Hepatic Oncology Research 3
    • Cancer Cells and Metastasis 2
    • HER2/EGFR in Cancer Research 2

Chong Du

36 papers receiving 934 citations

Peers

Chong Du
Comparison fields: 5 of 82
  • Cancer Research 305
  • Molecular Biology 527
  • Biomaterials 102
  • Oncology 165
  • Cell Biology 55
Replace Murali K. Ravoori with:
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Zhi Hu China
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Chong Du relative to Murali K. Ravoori United States Murali K. Ravoori's profile →
Citations per field
00.5×5.0×
Murali K. Ravoori · 1×
Citations per year

Countries citing papers authored by Chong Du

Since Specialization
Citations

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

Fields of papers citing papers by Chong Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201893
2 201477
3 201865
4 201662
5 201757
6 201455
7 201550
8 201749
9 201749
10 201548
11 201947
12 202343
13 201927
14 202327
15 201625
16 202022
17 201519
18 202218
19 202218
20 202417

About Chong Du

Chong Du is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Epidemiology, having authored 43 papers that have together received 940 indexed citations. Recurring topics across this work include Kruppel-like factors research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Breast Cancer Treatment Studies (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Chromatin Remodeling and Cancer (3 papers), Cancer Cells and Metastasis (2 papers), HER2/EGFR in Cancer Research (2 papers) and Multiple and Secondary Primary Cancers (2 papers). The work is most often cited by research in Cancer Research (305 citations), Molecular Biology (527 citations), Biomaterials (102 citations), Oncology (165 citations) and Cell Biology (55 citations). Chong Du has collaborated with scholars based in China, Germany and Thailand. Frequent co-authors include Zhengkui Zhang, Yinmo Yang, Ling Ma, Marko Kornmann, Peng Guo, Yang Gao, Dalin He, Shan Xu, Qi Shi and Xinyang Wang. Their work appears in journals such as Nano Letters, Urologic Oncology Seminars and Original Investigations, Nano Today, Journal of Cancer and Cancer Letters.

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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