Bin-bin Wan
Impact in
-
- Ferroptosis and cancer prognosis
- Respiratory Support and Mechanisms
- Neonatal Respiratory Health Research
Papers in
-
- Ferroptosis and cancer prognosis 2
-
- Medicinal plant effects and applications 2
- Natural Compounds in Disease Treatment 2
- Co-authors
- Yaxian Wu (9 shared papers)Qing-feng Pang (9 shared papers)Mudan Lu (3 shared papers)Junliang Chen (3 shared papers)Dan Chen (2 shared papers)Renqiang Yu (3 shared papers)Daozhen Chen (1 shared paper)Ning‐hua Wu (3 shared papers)
- Journals
- International Immunopharmacology (2 papers)Pulmonary Pharmacology & Therapeutics (1 paper)Respiratory Research (1 paper)Journal of Inflammation Research (1 paper)Phytomedicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Bin-bin Wan
12 papers receiving 450 citations
Peers
Comparison fields: 5 of 62
- Pulmonary and Respiratory Medicine 150
- Complementary and alternative medicine 33
- Pharmacology 36
- Biological Psychiatry 3
- Molecular Biology 139
Countries citing papers authored by Bin-bin Wan
This map shows the geographic impact of Bin-bin Wan'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 Bin-bin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin-bin Wan more than expected).
Fields of papers citing papers by Bin-bin Wan
This network shows the impact of papers produced by Bin-bin Wan. 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 Bin-bin Wan. The network helps show where Bin-bin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin-bin Wan, 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 | 2020 | 131 | |
| 2 | 2021 | 47 | |
| 3 | 2019 | 45 | |
| 4 | 2021 | 40 | |
| 5 | 2020 | 38 | |
| 6 | 2020 | 33 | |
| 7 | 2021 | 33 | |
| 8 | 2021 | 29 | |
| 9 | 2019 | 26 | |
| 10 | 2022 | 19 | |
| 11 | 2023 | 13 | |
| 12 | 2021 | 6 | |
| 13 | 2024 | 0 |
About Bin-bin Wan
Bin-bin Wan is a scholar working on Pulmonary and Respiratory Medicine, Complementary and alternative medicine, Molecular Biology, Neurology and Nephrology, having authored 13 papers that have together received 460 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (4 papers), Medicinal plant effects and applications (2 papers), Ferroptosis and cancer prognosis (2 papers), Natural Compounds in Disease Treatment (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Neurological Disease Mechanisms and Treatments (1 paper), Immune cells in cancer (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (150 citations), Complementary and alternative medicine (33 citations), Pharmacology (36 citations), Biological Psychiatry (3 citations) and Molecular Biology (139 citations). Bin-bin Wan has collaborated with scholars based in China and United States. Frequent co-authors include Yaxian Wu, Qing-feng Pang, Mudan Lu, Junliang Chen, Dan Chen, Renqiang Yu, Daozhen Chen, Ning‐hua Wu, Qingjie Chen and Dan Chen. Their work appears in journals such as International Immunopharmacology, Pulmonary Pharmacology & Therapeutics, Respiratory Research, Journal of Inflammation Research and Phytomedicine.
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.