Xing Wei

2.4k citations
67 papers · 1.0k · h-index 19

Impact in

Papers in

    • RNA Research and Splicing 4
    • Mitochondrial Function and Pathology 4
    • RNA modifications and cancer 4
    • Epigenetics and DNA Methylation 3
    • Hippo pathway signaling and YAP/TAZ 4

Xing Wei

64 papers receiving 994 citations

Peers

Xing Wei
Comparison fields: 5 of 124
  • Geriatrics and Gerontology 79
  • Cancer Research 138
  • Physiology 31
  • Molecular Biology 444
  • Cardiology and Cardiovascular Medicine 110
Replace Balázs Veres with:
Balázs Veres Hungary
Junyan Wang China
Michael Y. Bonner United States
Zhen Guo China
Qiang Tang China
Shangli Zhang China
Jing Zong China
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Citations per field
00.5×4.9×
Balázs Veres · 1×
Citations per year

Countries citing papers authored by Xing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011185
2 201279
3 201950
4 201950
5 200838
6 200930
7 201727
8 201627
9 201425
10 202225
11 201823
12 201822
13 200920
14 201120
15 201020
16 201519
17 201919
18 201518
19 201718
20 201216

About Xing Wei

Xing Wei is a scholar working on Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine, Cancer Research and Computer Networks and Communications, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Scientific Computing and Data Management (4 papers), Cancer-related molecular mechanisms research (4 papers), Mitochondrial Function and Pathology (4 papers), Distributed and Parallel Computing Systems (4 papers), RNA modifications and cancer (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Geriatrics and Gerontology (79 citations), Cancer Research (138 citations), Physiology (31 citations), Molecular Biology (444 citations) and Cardiology and Cardiovascular Medicine (110 citations). Xing Wei has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xianzhong Xiao, Yansheng Feng, Honglin Zhu, Qi Luo, Min Liu, Chi Zhang, Shuxin Qu, Guangwen Chen, Weifeng Li and Xiaofeng Niu. Their work appears in journals such as Cell Stress and Chaperones, Future Generation Computer Systems, Biomedicine & Pharmacotherapy, Journal of Ethnopharmacology and Pain Research and Management.

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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