Nian Chen
Impact in
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Weifeng Liu (1 shared paper)Xueqing Qiu (1 shared paper)Jinhao Huang (1 shared paper)Qian Xie (4 shared papers)Xiao Ma (4 shared papers)Jian Wang (4 shared papers)Zhilei Wang (4 shared papers)Rong Ma (3 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Scientific Reports (1 paper)Acta Pharmaceutica Sinica B (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaUnited StatesNigeria
In The Last Decade
Nian Chen
32 papers receiving 462 citations
Peers
Comparison fields: 5 of 91
- Pharmacology 82
- Complementary and alternative medicine 67
- Neurology 54
- Biological Psychiatry 14
- Water Science and Technology 46
Countries citing papers authored by Nian Chen
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
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.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2020 | 68 | |
| 3 | 2018 | 54 | |
| 4 | 2022 | 30 | |
| 5 | [Anti-inflammatory effect of 3-acetylaconitine]. | 1984 | 29 |
| 6 | 2017 | 27 | |
| 7 | 2018 | 24 | |
| 8 | 2021 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2023 | 20 | |
| 11 | 2024 | 18 | |
| 12 | 2021 | 15 | |
| 13 | 2018 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2009 | 5 | |
| 19 | 2022 | 4 | |
| 20 | [An analysis of 276 cases of drug-induced liver damage]. | 2006 | 4 |
About Nian Chen
Nian Chen is a scholar working on Molecular Biology, Epidemiology, Pharmacology, Oncology and Complementary and alternative medicine, having authored 35 papers that have together received 473 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (3 papers), Alzheimer's disease research and treatments (3 papers), Liver Diseases and Immunity (3 papers), Traditional Chinese Medicine Analysis (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Pharmacology (82 citations), Complementary and alternative medicine (67 citations), Neurology (54 citations), Biological Psychiatry (14 citations) and Water Science and Technology (46 citations). Nian Chen has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Weifeng Liu, Xueqing Qiu, Jinhao Huang, Qian Xie, Xiao Ma, Jian Wang, Zhilei Wang, Rong Ma, Jing Wen and Dan Li. Their work appears in journals such as Frontiers in Immunology, Evidence-based Complementary and Alternative Medicine, Scientific Reports, Acta Pharmaceutica Sinica B and International Journal of Biological Macromolecules.
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.