Bin Lang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Surgery top 10%
- Adrenal and Paraganglionic Tumors
Papers in
-
- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 6
- Surgery 17
- Adrenal and Paraganglionic Tumors 7
- Bladder and Urothelial Cancer Treatments 6
- 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)Wei Xiao (6 shared papers)
- Journals
- The Journal of Urology (8 papers)Journal of Endourology (4 papers)Molecular Therapy — Nucleic Acids (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Urology (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Bin Lang
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 65
- Cancer Research 314
- Surgery 322
- Pediatrics, Perinatology and Child Health 71
- Molecular Biology 299
- Endocrinology, Diabetes and Metabolism 62
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 97 | |
| 2 | 2019 | 84 | |
| 3 | 2007 | 72 | |
| 4 | 2011 | 65 | |
| 5 | 2006 | 61 | |
| 6 | 2014 | 56 | |
| 7 | 2014 | 55 | |
| 8 | 2013 | 45 | |
| 9 | 2007 | 41 | |
| 10 | 2013 | 41 | |
| 11 | 2007 | 39 | |
| 12 | 2021 | 39 | |
| 13 | 2022 | 37 | |
| 14 | 2005 | 36 | |
| 15 | 2013 | 30 | |
| 16 | 2023 | 28 | |
| 17 | 2017 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2014 | 24 | |
| 20 | 2016 | 24 |
About Bin Lang
Bin Lang is a scholar working on Cancer Research, Surgery, Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Adrenal and Paraganglionic Tumors (7 papers), Bladder and Urothelial Cancer Treatments (6 papers), Cancer-related molecular mechanisms research (6 papers), CRISPR and Genetic Engineering (4 papers), Epigenetics and DNA Methylation (3 papers), Cervical Cancer and HPV Research (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (314 citations), Surgery (322 citations), Pediatrics, Perinatology and Child Health (71 citations), Molecular Biology (299 citations) and Endocrinology, Diabetes and Metabolism (62 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, Wei Xiao, Hongzhao Li and Jun Zhang. Their work appears in journals such as The Journal of Urology, Journal of Endourology, Molecular Therapy — Nucleic Acids, Journal of Experimental & Clinical Cancer Research and Urology.
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.