Chen Wu

916 citations
31 papers · 663 · h-index 14

Impact in

Papers in

    • DNA Repair Mechanisms 8
    • Glycosylation and Glycoproteins Research 5
    • RNA modifications and cancer 5
    • RNA Research and Splicing 3
    • PARP inhibition in cancer therapy 4
    • Cancer Cells and Metastasis 3

Chen Wu

30 papers receiving 658 citations

Peers

Chen Wu
Comparison fields: 5 of 97
  • Developmental Neuroscience 50
  • Cancer Research 127
  • Molecular Biology 427
  • Oncology 148
  • Biological Psychiatry 10
Replace Tomomi Miyamoto with:
Tomomi Miyamoto Japan
Qingqiong Luo China
Weiyun Shen China
Anni I. Nieminen Finland
T Deng United States
Yajie Zhu China
Wen He China
Yamei Hu China
Jingyu Li China
Vemika Chandra India
Chen Wu relative to Tomomi Miyamoto Japan Tomomi Miyamoto's profile →
Citations per field
00.5×2.6×
Tomomi Miyamoto · 1×
Citations per year

Countries citing papers authored by Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012194
2 200864
3 201346
4 201937
5 201526
6 202026
7 201823
8 202321
9 202121
10 201720
11 201920
12 201819
13 202417
14 201016
15 201713
16 202012
17 201912
18 202012
19 202311
20 20209

About Chen Wu

Chen Wu is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Surgery, having authored 31 papers that have together received 663 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), Glycosylation and Glycoproteins Research (5 papers), RNA modifications and cancer (5 papers), PARP inhibition in cancer therapy (4 papers), MicroRNA in disease regulation (3 papers), Cancer Cells and Metastasis (3 papers), Cancer-related molecular mechanisms research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Developmental Neuroscience (50 citations), Cancer Research (127 citations), Molecular Biology (427 citations), Oncology (148 citations) and Biological Psychiatry (10 citations). Chen Wu has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Yuxin Liu, Nan Xiao, Jing Li, Kun Xie, Tengfei Liu, Yanan Wang, Xiaochun Yu, Xiuhua Liu, Qiang Lü and Runxiang Qiu. Their work appears in journals such as Gene, DNA repair, Biomedicine & Pharmacotherapy, Journal of Biological Chemistry and Clinical Epigenetics.

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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