Bing Luan
Impact in
- Endocrine and Autonomic Systems top 10%
-
- NF-κB Signaling Pathways
Papers in
-
- Adipose Tissue and Metabolism 6
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- NF-κB Signaling Pathways 3
- Co-authors
- Yalan Wu (2 shared papers)Marc Montminy (2 shared papers)Gang Pei (2 shared papers)Hua Gao (1 shared paper)Klaus H. Kaestner (1 shared paper)Bin Qu (1 shared paper)Yaya Wang (1 shared paper)Young‐Sil Yoon (1 shared paper)
- Journals
- Advanced Science (2 papers)Nature Communications (1 paper)Developmental Cell (1 paper)Nature (1 paper)The EMBO Journal (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Bing Luan
23 papers receiving 1.4k citations
Bing Luan's Hit Papers
Peers
Comparison fields: 5 of 69
- Endocrine and Autonomic Systems 33
- Cancer Research 71
- Immunology 104
- Molecular Biology 316
- Pulmonary and Respiratory Medicine 128
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 | 281 | |
| 2 | 2015 | 238 | |
| 3 | Stem Cell Factor SOX2 Confers Ferroptosis Resistance in Lung Cancer via Upregulation of SLC7A11 Hit paper breakdown → | 2021 | 211 |
| 4 | 2009 | 199 | |
| 5 | 2014 | 100 | |
| 6 | 2005 | 60 | |
| 7 | 2016 | 31 | |
| 8 | 2021 | 31 | |
| 9 | 2017 | 28 | |
| 10 | 2023 | 28 | |
| 11 | 2022 | 27 | |
| 12 | 2018 | 24 | |
| 13 | 2017 | 19 | |
| 14 | 2016 | 12 | |
| 15 | 2018 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2024 | 10 | |
| 18 | 2022 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2016 | 7 |
About Bing Luan
Bing Luan is a scholar working on Physiology, Cancer Research, Endocrine and Autonomic Systems, Epidemiology and Rehabilitation, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), NF-κB Signaling Pathways (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Circadian rhythm and melatonin (1 paper), Ferroptosis and cancer prognosis (1 paper), Wound Healing and Treatments (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (33 citations), Cancer Research (71 citations), Immunology (104 citations), Molecular Biology (316 citations) and Pulmonary and Respiratory Medicine (128 citations). Bing Luan has collaborated with scholars based in China and United States. Frequent co-authors include Yalan Wu, Marc Montminy, Gang Pei, Hua Gao, Klaus H. Kaestner, Bin Qu, Yaya Wang, Young‐Sil Yoon, John E. Le Lay and Yue Sun. Their work appears in journals such as Advanced Science, Nature Communications, Developmental Cell, Nature and The EMBO Journal.
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.