Dongde Wu

414 citations
17 papers · 274 · h-index 10

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Lung Cancer Research Studies

Papers in

    • Circular RNAs in diseases 3
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 4
    • Cancer, Hypoxia, and Metabolism 3

Dongde Wu

15 papers receiving 273 citations

Peers

Dongde Wu
Comparison fields: 5 of 57
  • Cancer Research 119
  • Oncology 94
  • Molecular Biology 147
  • Hepatology 13
  • Pulmonary and Respiratory Medicine 39
Replace Feng Du with:
Feng Du China
Lingling Li China
Yanghui Bi China
Raafat Alameddine Lebanon
Jun Wen China
Ashwini Esnakula United States
Zekun Zhao China
Hongji Yang China
Shunfang Liu China
Dongde Wu relative to Feng Du China Feng Du's profile →
Citations per field
00.5×1.5×
Feng Du · 1×
Citations per year

Countries citing papers authored by Dongde Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dongde Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202055
2 201949
3 202231
4 201925
5 201920
6 202116
7 201915
8 202015
9 202414
10 202110
11 20166
12 20136
13 20215
14 20235
15 20202
16 20240
17 20240

About Dongde Wu

Dongde Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Infectious Diseases and Surgery, having authored 17 papers that have together received 274 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), Lung Cancer Research Studies (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Cancer Research (119 citations), Oncology (94 citations), Molecular Biology (147 citations), Hepatology (13 citations) and Pulmonary and Respiratory Medicine (39 citations). Dongde Wu has collaborated with scholars based in China and United States. Frequent co-authors include Lequn Bao, Tao Yin, Jing Yu, Xin Chen, Chunjiao Xia, Qun Wang, Chunguang Wang, Xiaoqing Yang, Hu Chen and Chen Hu. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports, Journal of Hepatology, Frontiers in Cell and Developmental Biology and Medicine.

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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