Benyao Lin
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Genetics top 5%
- BRCA gene mutations in cancer
- Estrogen and related hormone effects
Papers in
- Genetics 24
- BRCA gene mutations in cancer 23
- Genomic variations and chromosomal abnormalities 4
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- Breast Cancer Treatment Studies 10
- Cancer Genomics and Diagnostics 8
- Co-authors
- Zhaoqing Fan (50 shared papers)Yuntao Xie (40 shared papers)Tie Fan (41 shared papers)Jinfeng Li (36 shared papers)Tao Ouyang (28 shared papers)Tianfeng Wang (29 shared papers)Tianfeng Wang (23 shared papers)Ye Xu (23 shared papers)
- Journals
- Breast Cancer Research and Treatment (9 papers)International Journal of Cancer (7 papers)Clinical Cancer Research (3 papers)Cancer Science (3 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Benyao Lin
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 61
- Cancer Research 365
- Genetics 524
- Oncology 451
- Pathology and Forensic Medicine 113
- Molecular Biology 460
Countries citing papers authored by Benyao Lin
This map shows the geographic impact of Benyao Lin'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 Benyao Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benyao Lin more than expected).
Fields of papers citing papers by Benyao Lin
This network shows the impact of papers produced by Benyao Lin. 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 Benyao Lin. The network helps show where Benyao Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Benyao Lin, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 188 | |
| 2 | 2017 | 147 | |
| 3 | 2005 | 91 | |
| 4 | 2015 | 73 | |
| 5 | 2016 | 54 | |
| 6 | 2011 | 53 | |
| 7 | 2021 | 51 | |
| 8 | 2017 | 49 | |
| 9 | 2008 | 32 | |
| 10 | 2016 | 29 | |
| 11 | 2011 | 29 | |
| 12 | 2018 | 27 | |
| 13 | 2015 | 26 | |
| 14 | 2015 | 24 | |
| 15 | 2011 | 22 | |
| 16 | 2020 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2015 | 17 | |
| 20 | 2019 | 17 |
About Benyao Lin
Benyao Lin is a scholar working on Genetics, Cancer Research, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (23 papers), Breast Cancer Treatment Studies (10 papers), DNA Repair Mechanisms (9 papers), Cancer Genomics and Diagnostics (8 papers), Cancer-related Molecular Pathways (6 papers), PARP inhibition in cancer therapy (5 papers), Genomic variations and chromosomal abnormalities (4 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Cancer Research (365 citations), Genetics (524 citations), Oncology (451 citations), Pathology and Forensic Medicine (113 citations) and Molecular Biology (460 citations). Benyao Lin has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Zhaoqing Fan, Yuntao Xie, Tie Fan, Jinfeng Li, Tao Ouyang, Tianfeng Wang, Tianfeng Wang, Ye Xu, Tao Ouyang and Lu Yao. Their work appears in journals such as Breast Cancer Research and Treatment, International Journal of Cancer, Clinical Cancer Research, Cancer Science and BMC Cancer.
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.