Bin Lang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Surgery top 10%
- Adrenal and Paraganglionic Tumors
Papers in
-
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
- Kruppel-like factors research 2
- Surgery 9
- Adrenal and Paraganglionic Tumors 5
- Co-authors
- Yu Gan (11 shared papers)Bin Fu (15 shared papers)Lirong Meng (8 shared papers)Xin Ma (11 shared papers)Hua Xu (8 shared papers)Weimin Yao (5 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)Bioinformatics (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Bin Lang
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 337
- Surgery 325
- Endocrinology, Diabetes and Metabolism 119
- Molecular Biology 509
- Urology 32
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 | 96 | |
| 2 | 2019 | 83 | |
| 3 | 2007 | 71 | |
| 4 | 2006 | 61 | |
| 5 | 2011 | 60 | |
| 6 | 2014 | 56 | |
| 7 | 2014 | 53 | |
| 8 | 2013 | 45 | |
| 9 | 2013 | 43 | |
| 10 | 2007 | 40 | |
| 11 | 2007 | 40 | |
| 12 | 2005 | 35 | |
| 13 | 2022 | 34 | |
| 14 | 2013 | 31 | |
| 15 | 2023 | 26 | |
| 16 | 2017 | 25 | |
| 17 | 2014 | 24 | |
| 18 | 2016 | 24 | |
| 19 | 2020 | 24 | |
| 20 | 2016 | 23 |
About Bin Lang
Bin Lang is a scholar working on Molecular Biology, Surgery, Cancer Research, Oncology and Genetics, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers), Cervical Cancer and HPV Research (2 papers), Kruppel-like factors research (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (337 citations), Surgery (325 citations), Endocrinology, Diabetes and Metabolism (119 citations), Molecular Biology (509 citations) and Urology (32 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, Hua Xu, Weimin Yao, 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 Bioinformatics.
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.