Bin Lang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Hormonal Regulation and Hypertension
- Pituitary Gland Disorders and Treatments
Papers in ⓘ
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- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 7
- Urology 4
- Co-authors
- Yu Gan (11 shared papers)Bin Fu (15 shared papers)Lirong Meng (8 shared papers)Xin Ma (11 shared papers)Weimin Yao (5 shared papers)Hua Xu (8 shared papers)Heng Li (8 shared papers)Kai Xu (11 shared papers)
- Journals
- The Journal of Urology (8 papers)Journal of Endourology (4 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Urology (2 papers)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Bin Lang
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 382
- Endocrinology, Diabetes and Metabolism 207
- Urology 64
- Surgery 381
- Molecular Biology 577
Countries citing papers authored by Bin Lang
This map shows the geographic impact of Bin Lang'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 Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Lang more than expected).
Fields of papers citing papers by Bin Lang
This network shows the impact of papers produced by Bin Lang. 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 Lang. The network helps show where Bin Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Lang, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 92 | |
| 2 | 2019 | 83 | |
| 3 | 2007 | 70 | |
| 4 | 2006 | 59 | |
| 5 | 2011 | 59 | |
| 6 | 2014 | 56 | |
| 7 | 2014 | 53 | |
| 8 | 2013 | 44 | |
| 9 | 2013 | 43 | |
| 10 | 2007 | 40 | |
| 11 | 2007 | 38 | |
| 12 | 2005 | 35 | |
| 13 | 2013 | 32 | |
| 14 | 2022 | 29 | |
| 15 | 2017 | 26 | |
| 16 | 2014 | 25 | |
| 17 | 2023 | 24 | |
| 18 | 2020 | 23 | |
| 19 | 2016 | 23 | |
| 20 | 2016 | 22 |
About Bin Lang
Bin Lang is a scholar working on Cancer Research, Urology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Biological Psychiatry, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (7 papers), Adrenal and Paraganglionic Tumors (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Hormonal Regulation and Hypertension (6 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (382 citations), Endocrinology, Diabetes and Metabolism (207 citations), Urology (64 citations), Surgery (381 citations) and Molecular Biology (577 citations). Bin Lang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yu Gan, Bin Fu, Lirong Meng, Xin Ma, Weimin Yao, Hua Xu, Heng Li, Kai Xu, Hongzhao Li and Wei Xiao. Their work appears in journals such as The Journal of Urology, Journal of Endourology, Journal of Experimental & Clinical Cancer Research, Urology and International Journal of Biological Macromolecules.
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.