Yu Lin
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
-
- Genomics and Phylogenetic Studies 37
- Gene expression and cancer classification 7
- RNA and protein synthesis mechanisms 6
- Machine Learning in Bioinformatics 5
- Genetics 28
- Genome Rearrangement Algorithms 25
- Co-authors
- Pavel A. Pevzner (6 shared papers)Jeffrey Yuan (3 shared papers)Mikhail Kolmogorov (2 shared papers)Bernard M. E. Moret (23 shared papers)Vaibhav Rajan (18 shared papers)Yi Yang (6 shared papers)Liang Qiao (6 shared papers)Vijini Mallawaarachchi (9 shared papers)
- Journals
- BMC Bioinformatics (8 papers)Journal of Computational Biology (7 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (5 papers)Bioinformatics (4 papers)Algorithms for Molecular Biology (4 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yu Lin
106 papers receiving 5.3k citations
Yu Lin's Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Medicine 336
- Endocrinology 290
- Molecular Biology 2.8k
- Ecology 964
- Horticulture 36
Countries citing papers authored by Yu Lin
This map shows the geographic impact of Yu 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 Yu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Lin more than expected).
Fields of papers citing papers by Yu Lin
This network shows the impact of papers produced by Yu 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 Yu Lin. The network helps show where Yu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Assembly of long, error-prone reads using repeat graphs Hit paper breakdown → | 2019 | 3180 |
| 2 | 2016 | 230 | |
| 3 | 2020 | 166 | |
| 4 | 2018 | 135 | |
| 5 | 2014 | 87 | |
| 6 | 2003 | 75 | |
| 7 | 2013 | 63 | |
| 8 | 2020 | 62 | |
| 9 | 2018 | 60 | |
| 10 | 2011 | 51 | |
| 11 | 2012 | 49 | |
| 12 | 2003 | 49 | |
| 13 | 2011 | 48 | |
| 14 | 2004 | 45 | |
| 15 | 2008 | 42 | |
| 16 | 2003 | 40 | |
| 17 | 2012 | 40 | |
| 18 | 2021 | 38 | |
| 19 | 2014 | 35 | |
| 20 | 2023 | 32 |
About Yu Lin
Yu Lin is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Plant Science and Materials Chemistry, having authored 112 papers that have together received 5.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (37 papers), Genome Rearrangement Algorithms (25 papers), Chromosomal and Genetic Variations (15 papers), Algorithms and Data Compression (11 papers), Gene expression and cancer classification (7 papers), RNA and protein synthesis mechanisms (6 papers), Machine Learning in Bioinformatics (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). The work is most often cited by research in Molecular Medicine (336 citations), Endocrinology (290 citations), Molecular Biology (2.8k citations), Ecology (964 citations) and Horticulture (36 citations). Yu Lin has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Pavel A. Pevzner, Jeffrey Yuan, Mikhail Kolmogorov, Bernard M. E. Moret, Vaibhav Rajan, Yi Yang, Liang Qiao, Vijini Mallawaarachchi, Jijun Tang and Yongqun He. Their work appears in journals such as BMC Bioinformatics, Journal of Computational Biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Bioinformatics and Algorithms for Molecular Biology.
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.