Ling Wei

2.6k citations
58 papers · 2.0k · h-index 21

Impact in

Papers in

    • RNA modifications and cancer 7
    • Pluripotent Stem Cells Research 5
    • Genomics and Chromatin Dynamics 5
    • Epigenetics and DNA Methylation 4
    • Circular RNAs in diseases 4
    • RNA Research and Splicing 3
    • Cancer, Hypoxia, and Metabolism 4

Ling Wei

55 papers receiving 2.0k citations

Peers

Ling Wei
Comparison fields: 5 of 110
  • Cancer Research 489
  • Developmental Neuroscience 128
  • Neurology 178
  • Cellular and Molecular Neuroscience 353
  • Molecular Biology 1.0k
Replace Chun Cheng with:
Chun Cheng China
Rajappa S. Kenchappa United States
Kyungmin Ji United States
Avelina Tortosa Spain
Jee Young Sung South Korea
Ping He United States
Michelle I. Lin United States
Yongming Qiu China
Dara Ditsworth United States
Elisabetta Mantuano United States
Ling Wei relative to Chun Cheng China Chun Cheng's profile →
Citations per field
00.5×1.5×
Chun Cheng · 1×
Citations per year

Countries citing papers authored by Ling Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ling Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001248
2 2010213
3 2006213
4 2002208
5 2006128
6 2008123
7 200394
8 202084
9 200981
10 201061
11 200845
12 201044
13 201140
14 201739
15 201236
16 201632
17 201931
18 200624
19 200923
20 201922

About Ling Wei

Ling Wei is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Developmental Neuroscience and Oncology, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Pluripotent Stem Cells Research (5 papers), Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers), Circular RNAs in diseases (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (489 citations), Developmental Neuroscience (128 citations), Neurology (178 citations), Cellular and Molecular Neuroscience (353 citations) and Molecular Biology (1.0k citations). Ling Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xianrang Song, Shan Yu, Xingwu Wang, Joseph P. Erinjeri, Li Xie, Carl M. Rovainen, Thomas A. Woolsey, Liyan Lv, Michelle H. Theus and Steven M. Rothman. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Journal of Cellular Biochemistry, Frontiers in Oncology, Stroke and Cancer Letters.

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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