Bing Yan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- Histone Deacetylase Inhibitors Research
- RNA Interference and Gene Delivery
Papers in
-
- Extracellular vesicles in disease 5
- Circular RNAs in diseases 4
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 3
- Co-authors
- Yanli Wang (7 shared papers)Yangxin Li (7 shared papers)Chun Liang (5 shared papers)Bin Liu (4 shared papers)Xiyong Yu (4 shared papers)Xiangbin Pan (5 shared papers)Wenping Xie (5 shared papers)Feng Liu (4 shared papers)
- Journals
- Theranostics (5 papers)PLoS ONE (2 papers)BMC Pediatrics (2 papers)International Journal of Biological Sciences (2 papers)Water (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bing Yan
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 336
- Molecular Biology 833
- Biomaterials 84
- Genetics 61
- Oncology 131
Countries citing papers authored by Bing Yan
This map shows the geographic impact of Bing Yan'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 Bing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Yan more than expected).
Fields of papers citing papers by Bing Yan
This network shows the impact of papers produced by Bing Yan. 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 Bing Yan. The network helps show where Bing Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Yan, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 232 | |
| 2 | 2020 | 161 | |
| 3 | 2019 | 100 | |
| 4 | 2015 | 57 | |
| 5 | 2022 | 57 | |
| 6 | 2014 | 53 | |
| 7 | 2019 | 51 | |
| 8 | 2018 | 38 | |
| 9 | 2015 | 38 | |
| 10 | 2020 | 34 | |
| 11 | 2017 | 29 | |
| 12 | 2019 | 27 | |
| 13 | 2017 | 25 | |
| 14 | 2018 | 24 | |
| 15 | 2009 | 23 | |
| 16 | 2015 | 22 | |
| 17 | 2016 | 22 | |
| 18 | 2020 | 21 | |
| 19 | 2024 | 19 | |
| 20 | 2015 | 18 |
About Bing Yan
Bing Yan is a scholar working on Molecular Biology, Cancer Research, Oncology, Ecology and Immunology, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Coastal and Marine Dynamics (7 papers), MicroRNA in disease regulation (7 papers), Coastal wetland ecosystem dynamics (6 papers), Extracellular vesicles in disease (5 papers), Cancer Cells and Metastasis (4 papers), Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Cancer Research (336 citations), Molecular Biology (833 citations), Biomaterials (84 citations), Genetics (61 citations) and Oncology (131 citations). Bing Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanli Wang, Yangxin Li, Chun Liang, Bin Liu, Xiyong Yu, Xiangbin Pan, Wenping Xie, Feng Liu, Bao Zhu and Fengzhi Ding. Their work appears in journals such as Theranostics, PLoS ONE, BMC Pediatrics, International Journal of Biological Sciences and Water.
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.