Nian Chen

585 citations
37 papers · 401 · h-index 10

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 5
    • Hepatitis B Virus Studies 4
    • Paraquat toxicity studies and treatments 2

Nian Chen

33 papers receiving 391 citations

Peers

Nian Chen
Comparison fields: 5 of 81
  • Hepatology 83
  • Microbiology 7
  • Genetics 82
  • Infectious Diseases 93
  • Surgery 128
Replace Derya Gümürdülü with:
Derya Gümürdülü Türkiye
V. Gérolami France
Marina E. Fomin United States
Patrick Hosking Australia
Qiang Yan China
Kathryn Brown United Kingdom
Toshihiro Yamashita Japan
Joanna Osada Poland
Tatsuho Sugimoto Japan
H. M. Cameron Kenya
Nian Chen relative to Derya Gümürdülü Türkiye Derya Gümürdülü's profile →
Citations per field
00.5×6.4×
Derya Gümürdülü · 1×
Citations per year

Countries citing papers authored by Nian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Nian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200780
2 200952
3 202147
4 201336
5 202132
6 202217
7 199213
8 199413
9 202111
10 20209
11 20198
12 20138
13 20187
14 19937
15 20117
16 20176
17
[Liver pathology in idiopathic portal hypertension].
20076
18 20206
19 20134
20 20224

About Nian Chen

Nian Chen is a scholar working on Epidemiology, Surgery, Infectious Diseases, Molecular Biology and Pharmacology, having authored 37 papers that have together received 401 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Hepatitis B Virus Studies (4 papers), Mesenchymal stem cell research (3 papers), COVID-19 Clinical Research Studies (3 papers), Paraquat toxicity studies and treatments (2 papers), Long-Term Effects of COVID-19 (2 papers), Liver physiology and pathology (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Hepatology (83 citations), Microbiology (7 citations), Genetics (82 citations), Infectious Diseases (93 citations) and Surgery (128 citations). Nian Chen has collaborated with scholars based in China, Australia and Brazil. Frequent co-authors include Aihua Yao, Liyong Pu, Xuehao Wang, Beicheng Sun, Mark R. Bowles, Susan M. Pond, Donghua Zou, Yaping Han, Ye Fan and Guoqiang Li. Their work appears in journals such as Photodiagnosis and Photodynamic Therapy, Biochemical Pharmacology, Molecular Therapy, Medicine and Infectious Diseases of Poverty.

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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