Bingling Dai
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Pharmacology top 10%
- Berberine and alkaloids research
Papers in
-
- Angiogenesis and VEGF in Cancer 9
- Wnt/β-catenin signaling in development and cancer 6
- Ubiquitin and proteasome pathways 4
- Oncology 12
- Cytokine Signaling Pathways and Interactions 5
- Cancer-related Molecular Pathways 5
- Co-authors
- Yanmin Zhang (37 shared papers)Yingzhuan Zhan (15 shared papers)Tianfeng Yang (16 shared papers)Dongdong Zhang (13 shared papers)Weina Ma (10 shared papers)Qi Su (7 shared papers)Langchong He (7 shared papers)Mengying Fan (6 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (4 papers)Phytomedicine (3 papers)Biomedicine & Pharmacotherapy (3 papers)Oncology Reports (3 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bingling Dai
58 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 167
- Pharmacology 124
- Molecular Biology 487
- Pharmacology 60
- Complementary and alternative medicine 41
Countries citing papers authored by Bingling Dai
This map shows the geographic impact of Bingling Dai'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 Bingling Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingling Dai more than expected).
Fields of papers citing papers by Bingling Dai
This network shows the impact of papers produced by Bingling Dai. 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 Bingling Dai. The network helps show where Bingling Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingling Dai, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 79 | |
| 2 | 2019 | 74 | |
| 3 | 2017 | 62 | |
| 4 | 2020 | 55 | |
| 5 | 2021 | 43 | |
| 6 | 2012 | 36 | |
| 7 | 2018 | 35 | |
| 8 | 2017 | 34 | |
| 9 | 2021 | 33 | |
| 10 | 2014 | 33 | |
| 11 | 2019 | 30 | |
| 12 | 2020 | 27 | |
| 13 | 2012 | 25 | |
| 14 | 2020 | 25 | |
| 15 | 2023 | 24 | |
| 16 | 2011 | 24 | |
| 17 | 2023 | 21 | |
| 18 | 2017 | 20 | |
| 19 | 2021 | 20 | |
| 20 | 2021 | 18 |
About Bingling Dai
Bingling Dai is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Cell Biology, having authored 61 papers that have together received 1.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), Cancer Mechanisms and Therapy (8 papers), Metal-Organic Frameworks: Synthesis and Applications (7 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Cancer-related Molecular Pathways (5 papers), Axon Guidance and Neuronal Signaling (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cancer Research (167 citations), Pharmacology (124 citations), Molecular Biology (487 citations), Pharmacology (60 citations) and Complementary and alternative medicine (41 citations). Bingling Dai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanmin Zhang, Yingzhuan Zhan, Tianfeng Yang, Dongdong Zhang, Weina Ma, Qi Su, Langchong He, Mengying Fan, Nan Wang and Rui Liu. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Phytomedicine, Biomedicine & Pharmacotherapy, Oncology Reports and Scientific Reports.
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.