Nianlong Yan
Impact in
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- Endoplasmic Reticulum Stress and Disease
- Caveolin-1 and cellular processes
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- Cancer, Lipids, and Metabolism
Papers in
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- Sphingolipid Metabolism and Signaling 7
- Kruppel-like factors research 2
- Wnt/β-catenin signaling in development and cancer 2
- Cell Biology 14
- Endoplasmic Reticulum Stress and Disease 9
- Caveolin-1 and cellular processes 6
- Co-authors
- Shuyang Yu (1 shared paper)Jingyu Liu (1 shared paper)Zhiqiang He (5 shared papers)Shuang Liu (3 shared papers)Tingbo Ding (1 shared paper)Huan Hou (4 shared papers)Yue Li (1 shared paper)Xiaojuan Hu (3 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)International Journal of Molecular Medicine (2 papers)Molecules (2 papers)Redox Biology (1 paper)Lipids in Health and Disease (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Nianlong Yan
21 papers receiving 297 citations
Peers
Comparison fields: 5 of 68
- Cell Biology 60
- Cancer Research 47
- Immunology 49
- Molecular Biology 144
- Biochemistry 12
Countries citing papers authored by Nianlong Yan
This map shows the geographic impact of Nianlong Yan'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 Nianlong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nianlong Yan more than expected).
Fields of papers citing papers by Nianlong Yan
This network shows the impact of papers produced by Nianlong Yan. 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 Nianlong Yan. The network helps show where Nianlong Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Nianlong Yan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 35 | |
| 2 | 2022 | 33 | |
| 3 | 2019 | 30 | |
| 4 | 2020 | 28 | |
| 5 | 2011 | 25 | |
| 6 | 2019 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2018 | 12 | |
| 11 | 2017 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2016 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 4 |
About Nianlong Yan
Nianlong Yan is a scholar working on Molecular Biology, Cell Biology, Oncology, Surgery and Immunology, having authored 22 papers that have together received 303 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (9 papers), Sphingolipid Metabolism and Signaling (7 papers), Caveolin-1 and cellular processes (6 papers), Cancer, Lipids, and Metabolism (2 papers), Kruppel-like factors research (2 papers), Cholesterol and Lipid Metabolism (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Cell Biology (60 citations), Cancer Research (47 citations), Immunology (49 citations), Molecular Biology (144 citations) and Biochemistry (12 citations). Nianlong Yan has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Shuyang Yu, Jingyu Liu, Zhiqiang He, Shuang Liu, Tingbo Ding, Huan Hou, Yue Li, Xiaojuan Hu, Zhongsheng You and Man-Ping Wu. Their work appears in journals such as International Journal of Molecular Sciences, International Journal of Molecular Medicine, Molecules, Redox Biology and Lipids in Health and Disease.
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.