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
-
- Epigenetics and DNA Methylation 5
- Pluripotent Stem Cells Research 2
- Hedgehog Signaling Pathway Studies 2
-
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Yang‐Xin Fu (4 shared papers)Zheng Zhang (2 shared papers)Zhenhua Ren (4 shared papers)Kai Fu (2 shared papers)Hua Peng (3 shared papers)Liqun Chi (1 shared paper)Liguo Zhang (1 shared paper)Fusheng Wang (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Stem Cells and Development (2 papers)Journal of Cellular Physiology (2 papers)International Journal of Molecular Medicine (1 paper)Cell Death and Differentiation (1 paper)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Yan Luan
25 papers receiving 950 citations
Peers
Comparison fields: 5 of 83
- Hepatology 157
- Immunology 411
- Oncology 274
- Epidemiology 202
- Developmental Neuroscience 20
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 | 195 | |
| 2 | 2013 | 147 | |
| 3 | 2019 | 140 | |
| 4 | 2010 | 119 | |
| 5 | 2018 | 111 | |
| 6 | 2012 | 42 | |
| 7 | 2016 | 37 | |
| 8 | 2018 | 28 | |
| 9 | 2018 | 21 | |
| 10 | 2023 | 16 | |
| 11 | 2020 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2016 | 14 | |
| 14 | 2017 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2022 | 4 |
About Yan Luan
Yan Luan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Immunology and Oncology, having authored 28 papers that have together received 963 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Epigenetics and DNA Methylation (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Pluripotent Stem Cells Research (2 papers), T-cell and B-cell Immunology (2 papers), Barrier Structure and Function Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Hepatology (157 citations), Immunology (411 citations), Oncology (274 citations), Epidemiology (202 citations) and Developmental Neuroscience (20 citations). Yan Luan has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Yang‐Xin Fu, Zheng Zhang, Zhenhua Ren, Kai Fu, Hua Peng, Liqun Chi, Liguo Zhang, Fusheng Wang, Feng Li and Moses T. Bility. Their work appears in journals such as Clinical Cancer Research, Stem Cells and Development, Journal of Cellular Physiology, International Journal of Molecular Medicine and Cell Death and Differentiation.
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.