Rui Lan
Impact in
- Neurology top 5%
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
-
- Traditional Chinese Medicine Analysis
Papers in
- Neurology 11
- Neurological Disease Mechanisms and Treatments 8
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Co-authors
- Jun Xiang (5 shared papers)Guohua Wang (4 shared papers)Dingfang Cai (4 shared papers)Peiqing Liu (4 shared papers)Panxia Wang (4 shared papers)Yong Zhang (2 shared papers)Jing Lü (4 shared papers)Zhenzhen Li (4 shared papers)
- Journals
- Journal of Ethnopharmacology (5 papers)Veterinary Microbiology (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Virus Research (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Rui Lan
28 papers receiving 648 citations
Peers
Comparison fields: 5 of 79
- Neurology 168
- Complementary and alternative medicine 94
- Geriatrics and Gerontology 31
- Physiology 24
- Epidemiology 154
Countries citing papers authored by Rui Lan
This map shows the geographic impact of Rui Lan'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 Rui Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Lan more than expected).
Fields of papers citing papers by Rui Lan
This network shows the impact of papers produced by Rui Lan. 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 Rui Lan. The network helps show where Rui Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Rui Lan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 81 | |
| 2 | 2019 | 81 | |
| 3 | 2014 | 57 | |
| 4 | 2015 | 49 | |
| 5 | 2021 | 42 | |
| 6 | 2013 | 41 | |
| 7 | 2013 | 35 | |
| 8 | 2019 | 33 | |
| 9 | 2018 | 33 | |
| 10 | 2020 | 27 | |
| 11 | 2013 | 26 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 23 | |
| 14 | 2019 | 20 | |
| 15 | 2012 | 16 | |
| 16 | 2020 | 14 | |
| 17 | 2020 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2020 | 7 | |
| 20 | 2021 | 5 |
About Rui Lan
Rui Lan is a scholar working on Molecular Biology, Neurology, Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 32 papers that have together received 653 indexed citations. Recurring topics across this work include Neurological Disease Mechanisms and Treatments (8 papers), Traditional Chinese Medicine Analysis (6 papers), Animal Virus Infections Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Virus-based gene therapy research (3 papers), Autophagy in Disease and Therapy (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Neurology (168 citations), Complementary and alternative medicine (94 citations), Geriatrics and Gerontology (31 citations), Physiology (24 citations) and Epidemiology (154 citations). Rui Lan has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Jun Xiang, Guohua Wang, Dingfang Cai, Peiqing Liu, Panxia Wang, Yong Zhang, Jing Lü, Zhenzhen Li, Junjian Wang and Baoqi Wang. Their work appears in journals such as Journal of Ethnopharmacology, Veterinary Microbiology, Evidence-based Complementary and Alternative Medicine, Virus Research and Cell Death Discovery.
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.