Yu Luan
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Genomics and Chromatin Dynamics 7
- RNA Research and Splicing 6
- RNA modifications and cancer 4
- Single-cell and spatial transcriptomics 2
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- Cancer-related molecular mechanisms research 7
- Co-authors
- Ye Hou (13 shared papers)Shuhong Zhao (10 shared papers)Xinyun Li (10 shared papers)Feng Yue (5 shared papers)Yunxia Zhao (8 shared papers)Xiaotao Wang (2 shared papers)Yueyuan Xu (6 shared papers)Xiaolong Qi (5 shared papers)
- Journals
- Scientific Reports (2 papers)Cell Death and Disease (2 papers)Science Advances (2 papers)Genes (2 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yu Luan
27 papers receiving 412 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 138
- Genetics 128
- Molecular Biology 278
- Animal Science and Zoology 35
- Physiology 48
Countries citing papers authored by Yu Luan
This map shows the geographic impact of Yu 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 Yu Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Luan more than expected).
Fields of papers citing papers by Yu Luan
This network shows the impact of papers produced by Yu 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 Yu Luan. The network helps show where Yu Luan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 92 | |
| 2 | 2022 | 49 | |
| 3 | 2017 | 44 | |
| 4 | 2016 | 37 | |
| 5 | 2022 | 30 | |
| 6 | 2018 | 30 | |
| 7 | 2018 | 19 | |
| 8 | 2023 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2016 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2016 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2025 | 2 |
About Yu Luan
Yu Luan is a scholar working on Molecular Biology, Cancer Research, Genetics, Physiology and Genetics, having authored 27 papers that have together received 417 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Cancer-related molecular mechanisms research (7 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (4 papers), Acute Myeloid Leukemia Research (3 papers), Adipose Tissue and Metabolism (3 papers), Glioma Diagnosis and Treatment (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (138 citations), Genetics (128 citations), Molecular Biology (278 citations), Animal Science and Zoology (35 citations) and Physiology (48 citations). Yu Luan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ye Hou, Shuhong Zhao, Xinyun Li, Feng Yue, Yunxia Zhao, Xiaotao Wang, Yueyuan Xu, Xiaolong Qi, Mingyang Hu and Huanhuan Zhou. Their work appears in journals such as Scientific Reports, Cell Death and Disease, Science Advances, Genes and Cancer 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.