Dong-liang Chen

2.3k citations
19 papers · 1.5k indexed · h-index 16
Topics
MicroRNA in disease regulation (6 papers)Cancer-related molecular mechanisms research (6 papers)Circular RNAs in diseases (5 papers)

In The Last Decade

Dong-liang Chen

19 papers receiving 1.4k citations

Peers

Dong-liang Chen
Comparison fields: 5 of 99
  • Molecular Biology 1.0k
  • Cancer Research 828
  • Oncology 227
  • Pulmonary and Respiratory Medicine 143
  • Endocrine and Autonomic Systems 119
Replace Wendy W. Hwang‐Verslues with:
Wendy W. Hwang‐Verslues Taiwan
Subhamoy Dasgupta United States
Federica Mori Italy
Yun‐Xin Lu China
Niantao Deng Australia
Xiangpeng Dai United States
Joshua A. Desotelle United States
Oona Delpuech United Kingdom
June X. Zou United States
Dong-liang Chen relative to Wendy W. Hwang‐Verslues Taiwan Wendy W. Hwang‐Verslues's profile →
Citations per field
00.5×1.5×2.0×
Wendy W. Hwang‐Verslues · 1×
Citations per year

Countries citing papers authored by Dong-liang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dong-liang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong-liang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dong-liang Chen. A scholar is included among the top collaborators of Dong-liang 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 Dong-liang Chen. Dong-liang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 95
3 51
4 134
5 15
6 163
7 245
8 51
9 75
10 2
11 62
12 12
13 22
14 25
15 109
16 120
17 58
18 118
19 94

About Dong-liang Chen

Dong-liang Chen is a scholar working on Cancer Research, Endocrine and Autonomic Systems and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (828 citations), Endocrine and Autonomic Systems (119 citations) and Aging (27 citations). Dong-liang Chen has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Rui‐Hua Xu, Zhao-Lei Zeng, Peng Huang, Yun-Xin Lu, Dong-sheng Zhang, Huai‐Qiang Ju, Yuhong Li, Wen-jing Wu, De‐Shen Wang and Feng-Hua Wang. Their work appears in journals such as Hepatology, JNCI Journal of the National Cancer Institute and Cancer 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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