Bing Luan
- Cancer Research top 10%
- Immunology top 10%
- Immune cells in cancer 3
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 3
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity 2
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- Adipose Tissue and Metabolism 7
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- Adipokines, Inflammation, and Metabolic Diseases 5
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- Pancreatic function and diabetes 3
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- Endoplasmic Reticulum Stress and Disease 2
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- Diet, Metabolism, and Disease 2
- Co-authors
- Yalan WuMarc MontminyGang PeiYaya WangYue SunHua GaoBin QuJohn Le Lay
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Bing Luan
24 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cancer Research 219
- Immunology 261
- Molecular Biology 778
- Endocrine and Autonomic Systems 73
- Biological Psychiatry 23
Countries citing papers authored by Bing Luan
This map shows the geographic impact of Bing 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 Bing Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Luan more than expected).
Fields of papers citing papers by Bing Luan
This network shows the impact of papers produced by Bing 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 Bing Luan. The network helps show where Bing Luan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bing 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2023 | 16 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 24 | |
| 5 | 2022 | 8 | |
| 6 | Stem Cell Factor SOX2 Confers Ferroptosis Resistance in Lung Cancer via Upregulation of SLC7A11breakdown → | 2021 | 187 |
| 7 | Effect of TLR7 gene expression mediating NF-κB signaling pathway on the pathogenesis of bronchial asthma in mice and the intervention role of IFN-γ | 2021 | 5 |
| 8 | 2021 | 27 | |
| 9 | 2019 | 2 | |
| 10 | 2019 | 10 | |
| 11 | 2018 | 23 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 23 | |
| 14 | 2016 | 6 | |
| 15 | 2016 | 12 | |
| 16 | 2016 | 31 | |
| 17 | 2014 | 99 | |
| 18 | 2009 | 185 | |
| 19 | 2005 | 59 | |
| 20 | 2004 | 269 |
About Bing Luan
Bing Luan is a scholar working on Aging, Physiology, Endocrine and Autonomic Systems, Behavioral Neuroscience and Immunology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Immune cells in cancer (3 papers), Receptor Mechanisms and Signaling (3 papers), Pancreatic function and diabetes (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Diet, Metabolism, and Disease (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Cancer Research (219 citations), Immunology (261 citations), Molecular Biology (778 citations), Endocrine and Autonomic Systems (73 citations) and Biological Psychiatry (23 citations). Bing Luan has collaborated with scholars based in China, United States and India. Frequent co-authors include Yalan Wu, Marc Montminy, Gang Pei, Yaya Wang, Yue Sun, Hua Gao, Bin Qu, John Le Lay, Young‐Sil Yoon and Susan Hedrick. Their work appears in journals such as Advanced Science, Cell Metabolism, Scientific Reports, Proceedings of the National Academy of Sciences and Diabetes.
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.