Bin Fang
- Molecular Biology top 2%
- Oncology top 2%
- Physiology top 5%
- Endocrine and Autonomic Systems top 1%
- Cancer Research top 5%
- Co-authors
- John M. KoomenMitchell A. LazarEric B. HauraUwe RixZheng SunDan FengJennifer JagerSteven A. Eschrich
- Topics
- Advanced Proteomics Techniques and Applications (11 papers)Lung Cancer Treatments and Mutations (11 papers)Histone Deacetylase Inhibitors Research (10 papers)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Bin Fang
135 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 2.5k
- Oncology 987
- Physiology 611
- Endocrine and Autonomic Systems 568
- Cancer Research 506
Countries citing papers authored by Bin Fang
This map shows the geographic impact of Bin Fang'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 Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Fang more than expected).
Fields of papers citing papers by Bin Fang
This network shows the impact of papers produced by Bin Fang. 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 Fang. The network helps show where Bin Fang may publish in the future.
Co-authorship network of co-authors of Bin Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Fang. A scholar is included among the top collaborators of Bin Fang 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 Fang. Bin Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 27 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 25 | |
| 11 | 69 | |
| 12 | 55 | |
| 13 | 122 | |
| 14 | 32 | |
| 15 | 18 | |
| 16 | 54 | |
| 17 | 15 | |
| 18 | 89 | |
| 19 | 85 | |
| 20 | 34 |
About Bin Fang
Bin Fang is a scholar working on Aging, Endocrine and Autonomic Systems and Geriatrics and Gerontology, having authored 142 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Lung Cancer Treatments and Mutations (11 papers) and Histone Deacetylase Inhibitors Research (10 papers). The work is most often cited by research in Aging (164 citations), Endocrine and Autonomic Systems (568 citations) and Geriatrics and Gerontology (155 citations). Bin Fang has collaborated with scholars based in United States, China and Austria. Frequent co-authors include John M. Koomen, Mitchell A. Lazar, Eric B. Haura, Uwe Rix, Zheng Sun, Dan Feng, Jennifer Jager, Steven A. Eschrich, Yun Bai and Fumi Kinose. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.