Yan Luan
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
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- Epigenetics and DNA Methylation 5
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- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Co-authors
- Yang‐Xin Fu (4 shared papers)Zheng Zhang (2 shared papers)Zhenhua Ren (4 shared papers)Kai Fu (2 shared papers)Moses T. Bility (1 shared paper)Liguo Zhang (1 shared paper)Liang Cheng (1 shared paper)Junqi Niu (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Journal of Cellular Physiology (2 papers)Stem Cells and Development (2 papers)Neurochemical Research (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yan Luan
26 papers receiving 928 citations
Peers
Comparison fields: 5 of 86
- Hepatology 180
- Immunology 450
- Oncology 302
- Epidemiology 244
- Developmental Neuroscience 22
Countries citing papers authored by Yan Luan
This map shows the geographic impact of Yan Luan'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 Yan Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Luan more than expected).
Fields of papers citing papers by Yan Luan
This network shows the impact of papers produced by Yan Luan. 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 Yan Luan. The network helps show where Yan Luan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Luan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 188 | |
| 2 | 2013 | 144 | |
| 3 | 2019 | 131 | |
| 4 | 2010 | 118 | |
| 5 | 2018 | 107 | |
| 6 | 2012 | 41 | |
| 7 | 2016 | 34 | |
| 8 | 2018 | 27 | |
| 9 | 2018 | 21 | |
| 10 | 2020 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2016 | 14 | |
| 14 | 2017 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2011 | 10 | |
| 17 | 2021 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2024 | 5 |
About Yan Luan
Yan Luan is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Oncology and Developmental Neuroscience, having authored 28 papers that have together received 940 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Hepatitis B Virus Studies (4 papers), Immune Cell Function and Interaction (4 papers), Neuroscience and Neuropharmacology Research (4 papers), CAR-T cell therapy research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Hepatology (180 citations), Immunology (450 citations), Oncology (302 citations), Epidemiology (244 citations) and Developmental Neuroscience (22 citations). Yan Luan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yang‐Xin Fu, Zheng Zhang, Zhenhua Ren, Kai Fu, Moses T. Bility, Liguo Zhang, Liang Cheng, Junqi Niu, Yanhang Gao and Hua Peng. Their work appears in journals such as Clinical Cancer Research, Journal of Cellular Physiology, Stem Cells and Development, Neurochemical Research and Brain Research.
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.