De Zeng

938 citations
44 papers · 617 · h-index 15

Impact in

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

Papers in

    • Epigenetics and DNA Methylation 9
    • Renal and related cancers 4
    • RNA modifications and cancer 3
    • Cancer-related gene regulation 3
    • Cancer Cells and Metastasis 8
    • HER2/EGFR in Cancer Research 3

De Zeng

37 papers receiving 610 citations

Peers

De Zeng
Comparison fields: 5 of 88
  • Cancer Research 194
  • Oncology 194
  • Molecular Biology 392
  • Pulmonary and Respiratory Medicine 127
  • Immunology 58
Replace Benjamin L. Bryson with:
Benjamin L. Bryson United States
Mohamed A. Ahmed Egypt
Satoshi Tsunetoh Japan
Carla Azzurra Amoreo Italy
Fernanda I. Arnaldez United States
Chaoju Gong China
Haishan Zhao China
Chiara Bazzichetto Italy
Caterina Aversa Italy
Yanling Fan China
De Zeng relative to Benjamin L. Bryson United States Benjamin L. Bryson's profile →
Citations per field
00.5×2.7×
Benjamin L. Bryson · 1×
Citations per year

Countries citing papers authored by De Zeng

Since Specialization
Citations

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

Fields of papers citing papers by De Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201762
2 201657
3 201851
4 202140
5 201835
6 201735
7 202134
8 201733
9 201926
10 201923
11 202223
12 202023
13 201821
14 202016
15 201916
16 201413
17 201912
18 202311
19 202310
20 201810

About De Zeng

De Zeng is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Molecular Medicine, having authored 44 papers that have together received 617 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Cancer Cells and Metastasis (8 papers), Ferroptosis and cancer prognosis (5 papers), Renal and related cancers (4 papers), HER2/EGFR in Cancer Research (3 papers), RNA modifications and cancer (3 papers), Cancer-related gene regulation (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (194 citations), Oncology (194 citations), Molecular Biology (392 citations), Pulmonary and Respiratory Medicine (127 citations) and Immunology (58 citations). De Zeng has collaborated with scholars based in China, Netherlands and Macao. Frequent co-authors include Haoyu Lin, Yuanke Liang, Chunfa Chen, Yingsheng Xiao, Xiaolong Wei, Guo‐Jun Zhang, Shuming Sun, Xiaofeng Lu, Yang Wu and Qin Xie. Their work appears in journals such as Cancer Letters, Oncotarget, Frontiers in Oncology, Scientific Reports and Frontiers in Public Health.

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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