Xing Chen

9.8k citations
106 papers · 7.8k indexed · 3 hit papers · h-index 42
Topics
Cancer-related molecular mechanisms research (52 papers)MicroRNA in disease regulation (47 papers)Circular RNAs in diseases (31 papers)

In The Last Decade

Xing Chen

100 papers receiving 7.7k citations

Hit Papers

LncRNADisease: a database for long-non-coding RNA-associa...2012202620162021201220172018200400600

Peers

Xing Chen
Comparison fields: 5 of 163
  • Molecular Biology 6.7k
  • Cancer Research 5.8k
  • Computational Theory and Mathematics 638
  • Oncology 195
  • Artificial Intelligence 173
Replace Qinghua Jiang with:
Qinghua Jiang China
Liang Cheng China
Lei Deng China
Yu‐An Huang China
Jiajie Peng China
Jiawei Luo China
Hui Ding China
Jun S. Wei United States
Guohua Wang China
Yijie Ding China
Xing Chen relative to Qinghua Jiang China Qinghua Jiang's profile →
Citations per field
00.5×2.6×
Qinghua Jiang · 1×
Citations per year

Countries citing papers authored by Xing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Chen. A scholar is included among the top collaborators of Xing Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xing Chen. Xing Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 0
4 10
5 2
6 6
7 8
8 9
9 3
10 68
11 6
12 44
13 21
14 86
15 325
16 5
17 96
18 41
19 366
20
Tumor microvessel density detected by anti-CD34 as a predictor of recurrence of hepatocellular carcinoma after liver transplantation
0

About Xing Chen

Xing Chen is a scholar working on Cancer Research, Molecular Biology and Molecular Medicine, having authored 106 papers that have together received 7.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (52 papers), MicroRNA in disease regulation (47 papers) and Circular RNAs in diseases (31 papers). The work is most often cited by research in Cancer Research (5.8k citations), Molecular Biology (6.7k citations) and Computational Theory and Mathematics (638 citations). Xing Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Guiying Yan, Zhu‐Hong You, Huang Li, Di Xie, Qi Zhao, Jia Qu, Jianqiang Li, Jun Yin, Chun-Chun Wang and Na‐Na Guan. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

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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