Dongping Wei

1.8k citations
33 papers · 1.2k · h-index 21

Impact in

    • Cancer Research and Treatments
  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • PARP inhibition in cancer therapy

Papers in

    • Ubiquitin and proteasome pathways 11
    • Protein Degradation and Inhibitors 4
    • RNA modifications and cancer 4
    • Cancer-related Molecular Pathways 6

Dongping Wei

33 papers receiving 1.2k citations

Peers

Dongping Wei
Comparison fields: 5 of 78
  • Biotechnology 159
  • Oncology 430
  • Cancer Research 170
  • Molecular Biology 811
  • Cell Biology 104
Replace Jennifer M. Rosenbluth with:
Jennifer M. Rosenbluth United States
Doris A. Phelps United States
Julie Bianchi United Kingdom
Futoshi Uno Japan
Cheryl Zimberlin Netherlands
Mingqian Feng China
Hong-Wu Xin China
Tawnya L. Bowles United States
Deborah A. Flusberg United States
Gary S. Coombs United States
Dongping Wei relative to Jennifer M. Rosenbluth United States Jennifer M. Rosenbluth's profile →
Citations per field
00.5×3.3×
Jennifer M. Rosenbluth · 1×
Citations per year

Countries citing papers authored by Dongping Wei

Since Specialization
Citations

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

Fields of papers citing papers by Dongping Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011137
2 2014128
3 201389
4 201882
5 201381
6 201474
7 200757
8 200752
9 201447
10 201446
11 201544
12 201543
13 202242
14 201939
15 200939
16 201936
17 201531
18 201129
19 202129
20 201523

About Dongping Wei

Dongping Wei is a scholar working on Molecular Biology, Oncology, Epidemiology, Biotechnology and Cancer Research, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (11 papers), Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (5 papers), Nanoplatforms for cancer theranostics (5 papers), Protein Degradation and Inhibitors (4 papers), Autophagy in Disease and Therapy (4 papers), RNA modifications and cancer (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Biotechnology (159 citations), Oncology (430 citations), Cancer Research (170 citations), Molecular Biology (811 citations) and Cell Biology (104 citations). Dongping Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yi Sun, Lili Zhao, Meredith A. Morgan, Theodore S. Lawrence, Leslie A. Parsels, Mary A. Davis, David Karnak, Jonathan Maybaum, Lijun Jia and Yongchao Zhao. Their work appears in journals such as Clinical Cancer Research, Translational Oncology, Oncogene, Cancer Science and Molecular & Cellular Proteomics.

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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