Nian Chen

698 citations
36 papers · 510 · h-index 12

Impact in

Papers in

    • RNA Interference and Gene Delivery 2
    • Inflammasome and immune disorders 2
    • Advanced biosensing and bioanalysis techniques 2
    • Drug-Induced Hepatotoxicity and Protection 3

Nian Chen

34 papers receiving 499 citations

Peers

Nian Chen
Comparison fields: 5 of 90
  • Pharmacology 66
  • Complementary and alternative medicine 48
  • Biological Psychiatry 13
  • Neurology 41
  • Water Science and Technology 47
Replace Xinwei Yang with:
Xinwei Yang China
Feng-Ming Ho Taiwan
Sang‐Keun Kim South Korea
Junqing Gao China
Wanling Wu China
Yanlu Liu China
Bing Pei China
Hongrui Zhang China
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Citations per field
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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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201981
2 202071
3 201857
4 202230
5
[Anti-inflammatory effect of 3-acetylaconitine].
198429
6 202427
7 201727
8 201925
9 202124
10 201824
11 202323
12 202115
13 20188
14 20238
15 20217
16 20096
17 20156
18 20255
19 20245
20 20224

About Nian Chen

Nian Chen is a scholar working on Molecular Biology, Pharmacology, Hepatology, Biomedical Engineering and Oncology, having authored 36 papers that have together received 510 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Liver Diseases and Immunity (3 papers), Nanoplatforms for cancer theranostics (3 papers), RNA Interference and Gene Delivery (2 papers), Inflammasome and immune disorders (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Pharmacology (66 citations), Complementary and alternative medicine (48 citations), Biological Psychiatry (13 citations), Neurology (41 citations) and Water Science and Technology (47 citations). Nian Chen has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Xueqing Qiu, Weifeng Liu, Jinhao Huang, Qian Xie, Jian Wang, Rong Ma, Zhilei Wang, Xiao Ma, Jing Wen and Guang Xu. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Frontiers in Immunology, Scientific Reports, Acta Pharmaceutica Sinica B and Frontiers in Cell and Developmental Biology.

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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