Kui Lin

6.7k citations
67 papers · 2.1k · h-index 23

Impact in

Papers in

    • Genomics and Phylogenetic Studies 18
    • 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
    • Advances in Cucurbitaceae Research 5

Kui Lin

65 papers receiving 2.1k citations

Peers

Kui Lin
Comparison fields: 5 of 118
  • Horticulture 34
  • Endocrinology 98
  • Molecular Biology 1.2k
  • Plant Science 649
  • Genetics 465
Replace Yongfeng Zhou with:
Yongfeng Zhou China
Joann Mudge United States
Jérôme Laroche Canada
Guy Slater United Kingdom
Matthew Parks United States
Lex Flagel United States
Weiming He China
Maria Nattestad United States
Sanjit Singh Batra United States
Kui Lin relative to Yongfeng Zhou China Yongfeng Zhou's profile →
Citations per field
00.5×4.8×
Yongfeng Zhou · 1×
Citations per year

Countries citing papers authored by Kui Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kui Lin Line = papers co-authored together Kui Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013200
2 2007166
3 2011165
4 2005155
5 2004141
6 2016112
7 2019107
8 201982
9 201769
10 199463
11 200461
12 199757
13 201855
14 201353
15 200251
16 200051
17 200641
18 201240
19 201635
20 200532

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 67 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (17 papers), RNA Research and Splicing (11 papers), Chromosomal and Genetic Variations (7 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 (34 citations), Endocrinology (98 citations), Molecular Biology (1.2k citations), Plant Science (649 citations) and Genetics (465 citations). Kui Lin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Da‐Yong Zhang, Erli Pang, Tao Cheng, Shiliang Zhou, Wenpan Dong, Chao Xu, Min Xu, Lian‐Hui Zhang, Ya‐Wen He and Lianhui Wang. Their work appears in journals such as BMC Genomics, BMC Bioinformatics, Molecular BioSystems, Nucleic Acids Research and BMC Evolutionary 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.

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