Renyue Wei

490 citations
21 papers · 360 · h-index 10

Impact in

Papers in

    • Pluripotent Stem Cells Research 15
    • CRISPR and Genetic Engineering 10
    • Congenital heart defects research 3
    • RNA and protein synthesis mechanisms 2
    • Tissue Engineering and Regenerative Medicine 6

Renyue Wei

21 papers receiving 358 citations

Peers

Renyue Wei
Comparison fields: 5 of 55
  • Molecular Biology 317
  • Public Health, Environmental and Occupational Health 89
  • Cancer Research 42
  • Genetics 60
  • Surgery 69
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Fei Sang United Kingdom
Daniel Spindlow United Kingdom
Lisa K. Iwamoto-Stohl United Kingdom
Smita Sudheer Germany
Daniel A. Schmitz United States
Jasin Taelman Belgium
Hao Ming United States
Anastasiya Sybirna United Kingdom
Chan Luo China
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Citations per field
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Citations per year

Countries citing papers authored by Renyue Wei

Since Specialization
Citations

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

Fields of papers citing papers by Renyue Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201560
2 201658
3 201555
4 201635
5 201323
6 201418
7 201514
8 201912
9 202010
10 201910
11 20239
12 20159
13 20148
14 20218
15 20146
16 20166
17 20196
18 20235
19 20225
20 20252

About Renyue Wei

Renyue Wei is a scholar working on Molecular Biology, Surgery, Genetics, Public Health, Environmental and Occupational Health and Cancer Research, having authored 21 papers that have together received 360 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (10 papers), Tissue Engineering and Regenerative Medicine (6 papers), Animal Genetics and Reproduction (5 papers), Reproductive Biology and Fertility (3 papers), Congenital heart defects research (3 papers), Cancer-related molecular mechanisms research (3 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (317 citations), Public Health, Environmental and Occupational Health (89 citations), Cancer Research (42 citations), Genetics (60 citations) and Surgery (69 citations). Renyue Wei has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Liu Z, Gerelchimeg Bou, Bingteng Xie, Binghua Xue, Jingyu Li, Qingran Kong, Shichao Liu, Xiaogang Weng, Heng Zhang and Yu Zhang. Their work appears in journals such as Journal of Veterinary Science, Journal of Biological Chemistry, Cellular Reprogramming, Differentiation and Cell and Tissue Research.

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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