Xiaolin Lin
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- RNA modifications and cancer
- Circular RNAs in diseases
- Cancer-related gene regulation
- RNA Research and Splicing
Papers in ⓘ
-
- RNA modifications and cancer 8
- CRISPR and Genetic Engineering 4
- Circular RNAs in diseases 4
- Cancer-related gene regulation 4
-
- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 5
- Co-authors
- Dong Xiao (20 shared papers)Raoying Xie (8 shared papers)Jun-Shuang Jia (16 shared papers)Kang Xu (8 shared papers)Sheng Yang (5 shared papers)Shengchun Wang (5 shared papers)Junwen Shi (6 shared papers)Kai‐Tai Yao (6 shared papers)
- Journals
- Oncotarget (4 papers)Aging (3 papers)Nature Communications (2 papers)eLife (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Xiaolin Lin
44 papers receiving 994 citations
Peers
Comparison fields: 5 of 105
- Cancer Research 368
- Molecular Biology 599
- Immunology 145
- Aging 11
- Oncology 147
Countries citing papers authored by Xiaolin Lin
This map shows the geographic impact of Xiaolin 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 Xiaolin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Lin more than expected).
Fields of papers citing papers by Xiaolin Lin
This network shows the impact of papers produced by Xiaolin 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 Xiaolin Lin. The network helps show where Xiaolin Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 114 | |
| 2 | 2014 | 101 | |
| 3 | 2022 | 71 | |
| 4 | 2016 | 55 | |
| 5 | 2015 | 53 | |
| 6 | 2022 | 47 | |
| 7 | 2010 | 43 | |
| 8 | 2015 | 41 | |
| 9 | 2015 | 40 | |
| 10 | 2015 | 38 | |
| 11 | 2024 | 35 | |
| 12 | 2015 | 35 | |
| 13 | 2019 | 32 | |
| 14 | 2016 | 29 | |
| 15 | 2017 | 24 | |
| 16 | 2021 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2021 | 21 | |
| 19 | 2018 | 21 | |
| 20 | 2018 | 19 |
About Xiaolin Lin
Xiaolin Lin is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Immunology, having authored 45 papers that have together received 1000 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (5 papers), Virus-based gene therapy research (4 papers), Cancer Cells and Metastasis (4 papers), CRISPR and Genetic Engineering (4 papers), Circular RNAs in diseases (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Cancer Research (368 citations), Molecular Biology (599 citations), Immunology (145 citations), Aging (11 citations) and Oncology (147 citations). Xiaolin Lin has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Dong Xiao, Raoying Xie, Jun-Shuang Jia, Kang Xu, Sheng Yang, Shengchun Wang, Junwen Shi, Kai‐Tai Yao, Yujuan Qin and Lin Chen. Their work appears in journals such as Oncotarget, Aging, Nature Communications, eLife and PLoS ONE.
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.