Bingbing Lin
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
-
- Acupuncture Treatment Research Studies
Papers in ⓘ
-
- Acupuncture Treatment Research Studies 7
- Biomaterials 11
- Nanoparticle-Based Drug Delivery 9
- Co-authors
- Hua Ai (10 shared papers)Danyang Li (5 shared papers)Rongrong Jin (3 shared papers)Bin Song (6 shared papers)Qiyong Gong (5 shared papers)Chunchao Xia (5 shared papers)Weilin Liu (6 shared papers)Lidian Chen (7 shared papers)
- Journals
- Science Bulletin (2 papers)RSC Advances (2 papers)Neurorehabilitation (2 papers)Scientific Reports (1 paper)Chemical Communications (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Bingbing Lin
34 papers receiving 795 citations
Peers
Comparison fields: 5 of 107
- Biomaterials 324
- Complementary and alternative medicine 73
- Neurology 54
- Biophysics 34
- Biomedical Engineering 248
Countries citing papers authored by Bingbing Lin
This map shows the geographic impact of Bingbing Lin'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 Bingbing Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingbing Lin more than expected).
Fields of papers citing papers by Bingbing Lin
This network shows the impact of papers produced by Bingbing Lin. 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 Bingbing Lin. The network helps show where Bingbing Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingbing Lin, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 229 | |
| 2 | 2014 | 67 | |
| 3 | 2017 | 65 | |
| 4 | 2012 | 64 | |
| 5 | 2015 | 33 | |
| 6 | 2014 | 32 | |
| 7 | 2016 | 28 | |
| 8 | 2017 | 28 | |
| 9 | 2017 | 27 | |
| 10 | 2015 | 27 | |
| 11 | 2013 | 21 | |
| 12 | 2021 | 17 | |
| 13 | 2016 | 17 | |
| 14 | Effects of instant Pauchong tea, catechin, and caffeine on serum cholesterol and serum low-density lipoprotein in mice | 1986 | 15 |
| 15 | 2019 | 15 | |
| 16 | 2015 | 13 | |
| 17 | 2024 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2019 | 10 | |
| 20 | 2013 | 10 |
About Bingbing Lin
Bingbing Lin is a scholar working on Complementary and alternative medicine, Biomaterials, Biophysics, Neurology and Rehabilitation, having authored 37 papers that have together received 807 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (9 papers), Acupuncture Treatment Research Studies (7 papers), Stroke Rehabilitation and Recovery (4 papers), Characterization and Applications of Magnetic Nanoparticles (4 papers), Alzheimer's disease research and treatments (3 papers), Advanced MRI Techniques and Applications (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Biomaterials (324 citations), Complementary and alternative medicine (73 citations), Neurology (54 citations), Biophysics (34 citations) and Biomedical Engineering (248 citations). Bingbing Lin has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hua Ai, Danyang Li, Rongrong Jin, Bin Song, Qiyong Gong, Chunchao Xia, Weilin Liu, Lidian Chen, Dan Wang and Jing Tao. Their work appears in journals such as Science Bulletin, RSC Advances, Neurorehabilitation, Scientific Reports and Chemical Communications.
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.