Bin Zhang
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Genetics top 0.5%
- Immunology top 2%
- Surgery top 5%
- Topics
- MicroRNA in disease regulation (46 papers)Extracellular vesicles in disease (42 papers)Circular RNAs in diseases (28 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Bin Zhang
174 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 6.3k
- Cancer Research 3.4k
- Genetics 1.6k
- Immunology 1.4k
- Surgery 886
Countries citing papers authored by Bin Zhang
This map shows the geographic impact of Bin Zhang'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 Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Zhang more than expected).
Fields of papers citing papers by Bin Zhang
This network shows the impact of papers produced by Bin Zhang. 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 Zhang. The network helps show where Bin Zhang may publish in the future.
Co-authorship network of co-authors of Bin Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Zhang. A scholar is included among the top collaborators of Bin Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Zhang. Bin Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 27 | |
| 7 | 29 | |
| 8 | Mesenchymal stem cell-derived exosomes: a promising vector in treatment for diabetes and its microvascular complications. | 8 |
| 9 | 10 | |
| 10 | 19 | |
| 11 | 42 | |
| 12 | 52 | |
| 13 | 14 | |
| 14 | 26 | |
| 15 | 10 | |
| 16 | 36 | |
| 17 | Human Mesenchymal Stem Cell Derived Exosomes Alleviate Type 2 Diabetes Mellitus by Reversing Peripheral Insulin Resistance and Relieving β-Cell Destructionbreakdown → | 354 |
| 18 | 1 | |
| 19 | 67 | |
| 20 | 373 |
About Bin Zhang
Bin Zhang is a scholar working on Cancer Research, Genetics and Cell Biology, having authored 177 papers that have together received 9.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (46 papers), Extracellular vesicles in disease (42 papers) and Circular RNAs in diseases (28 papers). The work is most often cited by research in Cancer Research (3.4k citations), Genetics (1.6k citations) and Molecular Biology (6.3k citations). Bin Zhang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hui Qian, Wenrong Xu, Sai Kiang Lim, Ruenn Chai Lai, Xu Zhang, Hui Shi, Yongmin Yan, Wei Zhu, Ronne Wee Yeh Yeo and Yijun Yin. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Journal of Clinical Oncology.
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.