Xiaowei Chen

8.1k citations
172 papers · 5.1k · h-index 40

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Aging top 2%

Papers in

Xiaowei Chen

155 papers receiving 5.1k citations

Peers

Xiaowei Chen
Comparison fields: 5 of 169
  • Cancer Research 1.0k
  • Aging 112
  • Cell Biology 911
  • Molecular Biology 3.0k
  • Biochemistry 176
Replace Tao Li with:
Tao Li China
Bin Lü China
Hongbing Zhang China
Minjung Kim South Korea
Y. Eugene Chen United States
Simon J. Cook United Kingdom
Andrew D. Rouillard United States
Siyuan Zhang China
Yun Wang China
Xiaowei Chen relative to Tao Li China Tao Li's profile →
Citations per field
00.5×1.5×1.8×
Tao Li · 1×
Citations per year

Countries citing papers authored by Xiaowei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017372
2 2018275
3 2019213
4 2005202
5 1995181
6 2010172
7 2007163
8 2011121
9 2020112
10 2007105
11 200698
12 201497
13 201394
14 200984
15 201283
16 200682
17 202079
18 201079
19 200976
20 200669

About Xiaowei Chen

Xiaowei Chen is a scholar working on Molecular Biology, Cancer Research, Surgery, Cell Biology and Epidemiology, having authored 172 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (15 papers), RNA modifications and cancer (14 papers), Cancer-related molecular mechanisms research (14 papers), RNA Research and Splicing (13 papers), Pancreatic function and diabetes (11 papers), Adipose Tissue and Metabolism (9 papers), Endoplasmic Reticulum Stress and Disease (9 papers) and Cholesterol and Lipid Metabolism (9 papers). The work is most often cited by research in Cancer Research (1.0k citations), Aging (112 citations), Cell Biology (911 citations), Molecular Biology (3.0k citations) and Biochemistry (176 citations). Xiaowei Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Alan R. Saltiel, Thomas Lufkin, Manfred Frasch, Dara E. Leto, Shian-Huey Chiang, Chu Wang, Qian Wang, Ben Margolis, Mayumi Inoue and Junyu Xiao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Biology of the Cell, PLoS ONE, Journal of Biological Chemistry and RNA.

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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