Kui Lin
Impact in
- Horticulture top 5%
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 19
- RNA and protein synthesis mechanisms 17
- RNA Research and Splicing 11
- Bioinformatics and Genomic Networks 7
- RNA modifications and cancer 6
- Machine Learning in Bioinformatics 4
- Genetics 19
- Advances in Cucurbitaceae Research 5
- Co-authors
- Da‐Yong Zhang (13 shared papers)Erli Pang (24 shared papers)Shiliang Zhou (1 shared paper)Chao Xu (1 shared paper)Tao Cheng (1 shared paper)Wenpan Dong (1 shared paper)Ya‐Wen He (2 shared papers)Lian‐Hui Zhang (2 shared papers)
- Journals
- BMC Genomics (4 papers)BMC Bioinformatics (4 papers)BMC Evolutionary Biology (3 papers)Nucleic Acids Research (3 papers)Molecular BioSystems (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kui Lin
68 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 118
- Horticulture 37
- Endocrinology 102
- Molecular Biology 1.3k
- Genetics 481
- Plant Science 669
Countries citing papers authored by Kui Lin
This map shows the geographic impact of Kui 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 Kui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kui Lin more than expected).
Fields of papers citing papers by Kui Lin
This network shows the impact of papers produced by Kui 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 Kui Lin. The network helps show where Kui Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Kui 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 201 | |
| 2 | 2011 | 175 | |
| 3 | 2007 | 170 | |
| 4 | 2005 | 159 | |
| 5 | 2004 | 143 | |
| 6 | 2016 | 115 | |
| 7 | 2019 | 107 | |
| 8 | 2019 | 83 | |
| 9 | 1994 | 74 | |
| 10 | 2017 | 71 | |
| 11 | 1997 | 63 | |
| 12 | 2004 | 61 | |
| 13 | 2002 | 59 | |
| 14 | 2018 | 56 | |
| 15 | 2013 | 55 | |
| 16 | 2000 | 53 | |
| 17 | 2012 | 44 | |
| 18 | 2006 | 41 | |
| 19 | 2016 | 36 | |
| 20 | 2005 | 32 |
About Kui Lin
Kui Lin is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology, Evolution, Behavior and Systematics and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), RNA and protein synthesis mechanisms (17 papers), RNA Research and Splicing (11 papers), Chromosomal and Genetic Variations (8 papers), Bioinformatics and Genomic Networks (7 papers), RNA modifications and cancer (6 papers), Advances in Cucurbitaceae Research (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Horticulture (37 citations), Endocrinology (102 citations), Molecular Biology (1.3k citations), Genetics (481 citations) and Plant Science (669 citations). Kui Lin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Da‐Yong Zhang, Erli Pang, Shiliang Zhou, Chao Xu, Tao Cheng, Wenpan Dong, Ya‐Wen He, Lian‐Hui Zhang, Alvin Yu Jin Ng and Min Xu. Their work appears in journals such as BMC Genomics, BMC Bioinformatics, BMC Evolutionary Biology, Nucleic Acids Research and Molecular BioSystems.
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.