Wenjin Wei

912 citations
29 papers · 611 · h-index 13

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • Circular RNAs in diseases 3
    • Protein Degradation and Inhibitors 2
    • Peroxisome Proliferator-Activated Receptors 2
    • MicroRNA in disease regulation 5

Wenjin Wei

29 papers receiving 608 citations

Peers

Wenjin Wei
Comparison fields: 5 of 78
  • Cancer Research 244
  • Geriatrics and Gerontology 22
  • Molecular Biology 364
  • Genetics 45
  • Parasitology 27
Replace Teresa Monkkonen with:
Teresa Monkkonen United States
Barbara Zunino France
Juei‐Suei Chen United States
Carla Mazzeo Spain
Vasupradha Vethantham United States
Zhenyu Song China
Graciela Fuertes Spain
Jeffrey C. Rathmell United States
Sifei Yu China
Leal Oburoglu Sweden
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Citations per field
00.5×10×17×
Teresa Monkkonen · 1×
Citations per year

Countries citing papers authored by Wenjin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Wenjin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015111
2 201760
3 201748
4 201545
5 201538
6 201535
7 201533
8 200933
9 201631
10 202029
11 201526
12 200324
13 201423
14 202211
15 200310
16 201510
17 20238
18 20215
19 20255
20 20254

About Wenjin Wei

Wenjin Wei is a scholar working on Molecular Biology, Cancer Research, Neurology, Epidemiology and Control and Systems Engineering, having authored 29 papers that have together received 611 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Epigenetics and DNA Methylation (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Circular RNAs in diseases (3 papers), Protein Degradation and Inhibitors (2 papers), Carbon and Quantum Dots Applications (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cancer Research (244 citations), Geriatrics and Gerontology (22 citations), Molecular Biology (364 citations), Genetics (45 citations) and Parasitology (27 citations). Wenjin Wei has collaborated with scholars based in China and United States. Frequent co-authors include Yingyi Wang, Yongping You, Junxia Zhang, Qi Hu, Ning Liu, Dongfeng Han, Xincheng Chen, Xiefeng Wang, Tianfu Yu and Tao Tao. Their work appears in journals such as Oncotarget, Frontiers in Neurology, Cellular and Molecular Neurobiology, Cancer Cell International and Human Vaccines & Immunotherapeutics.

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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