Dan‐Qian Chen

5.8k total citations · 3 hit papers
64 papers, 4.5k citations indexed

About

Dan‐Qian Chen is a scholar working on Molecular Biology, Nephrology and Pharmacology. According to data from OpenAlex, Dan‐Qian Chen has authored 64 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 22 papers in Nephrology and 10 papers in Pharmacology. Recurrent topics in Dan‐Qian Chen's work include Chronic Kidney Disease and Diabetes (16 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Liver Disease Diagnosis and Treatment (6 papers). Dan‐Qian Chen is often cited by papers focused on Chronic Kidney Disease and Diabetes (16 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Liver Disease Diagnosis and Treatment (6 papers). Dan‐Qian Chen collaborates with scholars based in China and United States. Dan‐Qian Chen's co-authors include Ying‐Yong Zhao, Nosratola D. Vaziri, Ya‐Long Feng, Gang Cao, Lin Chen, Hua Chen, Yan Guo, Yanni Wang, He-He Hu and Xu Bai and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Dan‐Qian Chen

60 papers receiving 4.5k citations

Hit Papers

New insights into TGF-β/Smad signaling in tissue fibrosis 2018 2026 2020 2023 2018 2019 2018 250 500 750

Peers

Dan‐Qian Chen
Comparison fields: 5 of 130
  • Molecular Biology 2.3k
  • Nephrology 1.2k
  • Pulmonary and Respiratory Medicine 639
  • Epidemiology 444
  • Physiology 430
Replace Zhanjun Jia with:
Zhanjun Jia China
Gang Cao China
Songming Huang China
Ya‐Long Feng China
Niansong Wang China
Fuyou Liu China
Francisco J. López‐Hernández Spain
Yasuhiro Komatsu Japan
Carmen Mora‐Fernández Spain
Sergio Mezzano Chile
Zhanjun Jia China View profile →
Citations per field, relative to Dan‐Qian Chen
Dan‐Qian Chen · 1×
Citations per year, relative to Dan‐Qian Chen
Dan‐Qian Chen · 1×

Countries citing papers authored by Dan‐Qian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dan‐Qian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan‐Qian Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dan‐Qian Chen. A scholar is included among the top collaborators of Dan‐Qian 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 Dan‐Qian Chen. Dan‐Qian 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
# Work Indexed citations
1 0
2 0
3 13
4 8
5 20
6 7
7 41
8 46
9 19
10 90
11
New insights into TGF-β/Smad signaling in tissue fibrosis breakdown →
881
12
Central role of dysregulation of TGF-β/Smad in CKD progression and potential targets of its treatment breakdown →
287
13 160
14 109
15 89
16 143
17 89
18 58
19 64
20 110

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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