Bing Luan
Impact in
- Cancer Research top 10%
- Immunology top 10%
- Immune cells in cancer
Papers in
-
- Receptor Mechanisms and Signaling 3
- Metabolism, Diabetes, and Cancer 2
- Protein Kinase Regulation and GTPase Signaling 2
-
- Adipose Tissue and Metabolism 7
- Co-authors
- Yalan Wu (2 shared papers)Marc Montminy (2 shared papers)Yaya Wang (1 shared paper)Yue Sun (1 shared paper)Gang Pei (2 shared papers)Hua Gao (1 shared paper)Bin Qu (1 shared paper)Young‐Sil Yoon (1 shared paper)
- Journals
- Advanced Science (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)Molecular Cell (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Bing Luan
24 papers receiving 1.3k citations
Bing Luan's Hit Papers
Peers
Comparison fields: 5 of 88
- Cancer Research 188
- Immunology 241
- Endocrine and Autonomic Systems 69
- Molecular Biology 713
- Cellular and Molecular Neuroscience 152
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-authors
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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 273 | |
| 2 | 2015 | 222 | |
| 3 | Stem Cell Factor SOX2 Confers Ferroptosis Resistance in Lung Cancer via Upregulation of SLC7A11 Hit paper breakdown → | 2021 | 200 |
| 4 | 2009 | 186 | |
| 5 | 2014 | 100 | |
| 6 | 2005 | 58 | |
| 7 | 2016 | 31 | |
| 8 | 2021 | 27 | |
| 9 | 2022 | 24 | |
| 10 | 2018 | 23 | |
| 11 | 2017 | 23 | |
| 12 | 2023 | 20 | |
| 13 | 2017 | 18 | |
| 14 | 2016 | 12 | |
| 15 | 2019 | 10 | |
| 16 | 2022 | 8 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2024 | 5 |
About Bing Luan
Bing Luan is a scholar working on Molecular Biology, Physiology, Epidemiology, Immunology and Surgery, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Receptor Mechanisms and Signaling (3 papers), Immune cells in cancer (3 papers), Pancreatic function and diabetes (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cancer Research (188 citations), Immunology (241 citations), Endocrine and Autonomic Systems (69 citations), Molecular Biology (713 citations) and Cellular and Molecular Neuroscience (152 citations). Bing Luan has collaborated with scholars based in China, United States and India. Frequent co-authors include Yalan Wu, Marc Montminy, Yaya Wang, Yue Sun, Gang Pei, Hua Gao, Bin Qu, Young‐Sil Yoon, Susan Hedrick and John Le Lay. Their work appears in journals such as Advanced Science, Nature Communications, Cell Reports, Molecular Cell and Journal of Lipid 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.