Meng Chen
Impact in
-
- Traditional Chinese Medicine Analysis
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
Papers in
-
- Extracellular vesicles in disease 2
- Oncology 6
- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- Haimin Lei (6 shared papers)Penglong Wang (6 shared papers)Bin Dong (3 shared papers)Jian‐Jun Li (1 shared paper)Hua Bai (3 shared papers)Lingqun Zhu (3 shared papers)Ling Pan (1 shared paper)Limin Chai (3 shared papers)
- Journals
- Journal of Ethnopharmacology (5 papers)Heliyon (3 papers)PLoS ONE (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Molecules (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Meng Chen
36 papers receiving 461 citations
Peers
Comparison fields: 5 of 81
- Complementary and alternative medicine 56
- Pharmacology 48
- Cancer Research 74
- Hematology 43
- Molecular Biology 212
Countries citing papers authored by Meng Chen
This map shows the geographic impact of Meng 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 Meng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Chen more than expected).
Fields of papers citing papers by Meng Chen
This network shows the impact of papers produced by Meng 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 Meng Chen. The network helps show where Meng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 94 | |
| 2 | 2018 | 34 | |
| 3 | 2018 | 25 | |
| 4 | 2020 | 24 | |
| 5 | 2023 | 24 | |
| 6 | 2024 | 22 | |
| 7 | 2020 | 22 | |
| 8 | 2017 | 22 | |
| 9 | 2017 | 21 | |
| 10 | 2017 | 19 | |
| 11 | 2022 | 17 | |
| 12 | 2019 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2023 | 14 | |
| 15 | 2021 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 7 |
About Meng Chen
Meng Chen is a scholar working on Molecular Biology, Oncology, Surgery, Pharmacology and Complementary and alternative medicine, having authored 38 papers that have together received 465 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Autophagy in Disease and Therapy (3 papers), Traditional Chinese Medicine Analysis (3 papers), Cholesterol and Lipid Metabolism (2 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Immune Cell Function and Interaction (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Complementary and alternative medicine (56 citations), Pharmacology (48 citations), Cancer Research (74 citations), Hematology (43 citations) and Molecular Biology (212 citations). Meng Chen has collaborated with scholars based in China and United States. Frequent co-authors include Haimin Lei, Penglong Wang, Bin Dong, Jian‐Jun Li, Hua Bai, Lingqun Zhu, Ling Pan, Limin Chai, C. Alexander Valencia and Shuai Xiao. Their work appears in journals such as Journal of Ethnopharmacology, Heliyon, PLoS ONE, Evidence-based Complementary and Alternative Medicine and Molecules.
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.