Lan Chen
Impact in
- Pathology and Forensic Medicine top 10%
- Tea Polyphenols and Effects
- Breast Lesions and Carcinomas
Papers in
-
- Breast Lesions and Carcinomas 3
- Tea Polyphenols and Effects 3
- Co-authors
- Yuqiong Guo (2 shared papers)Chen Zhu (2 shared papers)Chengzhe Zhou (2 shared papers)Yuling Lin (2 shared papers)Zhongxiong Lai (2 shared papers)Miao‐Jin Ji (2 shared papers)Hui Ji (2 shared papers)Hao Hong (2 shared papers)
- Journals
- Medicine (2 papers)Acta Cytologica (2 papers)Hormone and Metabolic Research (1 paper)Respiratory Physiology & Neurobiology (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lan Chen
28 papers receiving 585 citations
Peers
Comparison fields: 5 of 81
- Pathology and Forensic Medicine 153
- Biological Psychiatry 20
- Biochemistry 50
- Neurology 59
- Cancer Research 78
Countries citing papers authored by Lan Chen
This map shows the geographic impact of Lan 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 Lan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Chen more than expected).
Fields of papers citing papers by Lan Chen
This network shows the impact of papers produced by Lan 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 Lan Chen. The network helps show where Lan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2019 | 77 | |
| 3 | 2013 | 64 | |
| 4 | 2022 | 52 | |
| 5 | 2013 | 40 | |
| 6 | 2017 | 39 | |
| 7 | 2018 | 39 | |
| 8 | 2020 | 35 | |
| 9 | 2015 | 33 | |
| 10 | 2020 | 27 | |
| 11 | 2014 | 17 | |
| 12 | 2023 | 13 | |
| 13 | 2015 | 13 | |
| 14 | 2020 | 11 | |
| 15 | 2019 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2005 | 7 | |
| 18 | 2018 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2023 | 4 |
About Lan Chen
Lan Chen is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Pharmacology and Oncology, having authored 29 papers that have together received 590 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Breast Lesions and Carcinomas (3 papers), Tea Polyphenols and Effects (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), HER2/EGFR in Cancer Research (2 papers), Alzheimer's disease research and treatments (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (153 citations), Biological Psychiatry (20 citations), Biochemistry (50 citations), Neurology (59 citations) and Cancer Research (78 citations). Lan Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuqiong Guo, Chen Zhu, Chengzhe Zhou, Yuling Lin, Zhongxiong Lai, Miao‐Jin Ji, Hui Ji, Hao Hong, Susu Tang and Shenghua Li. Their work appears in journals such as Medicine, Acta Cytologica, Hormone and Metabolic Research, Respiratory Physiology & Neurobiology and Frontiers in Plant Science.
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.