Yan Chen

5.1k citations
187 papers · 3.7k · h-index 34

Impact in

Papers in

    • Circular RNAs in diseases 7
    • Cancer Cells and Metastasis 11
    • Drug Transport and Resistance Mechanisms 6

Yan Chen

175 papers receiving 3.6k citations

Peers

Yan Chen
Comparison fields: 5 of 155
  • Cancer Research 563
  • Cellular and Molecular Neuroscience 525
  • Molecular Biology 1.5k
  • Oncology 577
  • Obstetrics and Gynecology 146
Replace Marina Di Domenico with:
Marina Di Domenico Italy
Bogusław Machaliński Poland
Lei Ye China
Xiaoli Chen China
J. Michael Mathis United States
Yoshitaka Hayashi Japan
Yanli Zhang China
Umberto Galderisi Italy
David G. Peters United States
Yan Chen relative to Marina Di Domenico Italy Marina Di Domenico's profile →
Citations per field
00.5×1.5×2.2×
Marina Di Domenico · 1×
Citations per year

Countries citing papers authored by Yan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994298
2 2012184
3 2005147
4 2011115
5 2012114
6 201693
7 201089
8
Drug-metabolising enzyme polymorphisms and predisposition to anti-tuberculosis drug-induced liver injury: a meta-analysis.
200880
9 201768
10 202165
11 201763
12 201262
13 201756
14 201953
15 201451
16 201251
17 201551
18 201148
19
Expression of the retinoblastoma gene product in bladder carcinoma cells associates with a low frequency of tumor formation.
199248
20 200847

About Yan Chen

Yan Chen is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Epidemiology, having authored 187 papers that have together received 3.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer Cells and Metastasis (11 papers), Cancer-related molecular mechanisms research (10 papers), Pregnancy and preeclampsia studies (8 papers), Circular RNAs in diseases (7 papers), Gestational Diabetes Research and Management (6 papers), Birth, Development, and Health (6 papers) and Drug Transport and Resistance Mechanisms (6 papers). The work is most often cited by research in Cancer Research (563 citations), Cellular and Molecular Neuroscience (525 citations), Molecular Biology (1.5k citations), Oncology (577 citations) and Obstetrics and Gynecology (146 citations). Yan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lei Yu, Anton Mestek, Jian Liu, Christine A. Kozak, Mingting Tian, Yi Fan, Rebecca L. Skalsky, Zhugang Wang, Deyue Yan and Xinyuan Zhu. Their work appears in journals such as PLoS ONE, Poultry Science, Cellular Immunology, PLoS Pathogens 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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