Yukun Li

47 total papers · 1.0k total citations
35 papers, 644 citations indexed

About

Yukun Li is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yukun Li has authored 35 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yukun Li's work include RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (3 papers) and Peptidase Inhibition and Analysis (3 papers). Yukun Li is often cited by papers focused on RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (3 papers) and Peptidase Inhibition and Analysis (3 papers). Yukun Li collaborates with scholars based in China, United States and Italy. Yukun Li's co-authors include Jiao Xiao, Chang-ye Chen, Daichao Wu, Yan Ma, Juan Zou, Yan Li, Guifang Luo, Zhongcheng Mo, Jinfeng Shi and Yuanjie Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Yukun Li

29 papers receiving 637 citations

Hit Papers

Mitochondrial quality con... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yukun Li 296 149 103 98 89 35 644
Susan Kadner 214 0.7× 97 0.7× 103 1.0× 80 0.8× 139 1.6× 35 715
Luigi Tucci 191 0.6× 151 1.0× 62 0.6× 77 0.8× 104 1.2× 32 720
Yiran Li 227 0.8× 89 0.6× 138 1.3× 93 0.9× 134 1.5× 44 580
Min Tang 271 0.9× 162 1.1× 80 0.8× 69 0.7× 50 0.6× 38 599
Bin Lei 471 1.6× 71 0.5× 204 2.0× 84 0.9× 75 0.8× 32 746
M. Zwirner 134 0.5× 222 1.5× 85 0.8× 62 0.6× 95 1.1× 29 752
Yujie Sun 249 0.8× 74 0.5× 89 0.9× 41 0.4× 51 0.6× 33 612
Hidenori Sasa 227 0.8× 108 0.7× 56 0.5× 40 0.4× 59 0.7× 50 641
Serkan Erkanlı 127 0.4× 283 1.9× 58 0.6× 53 0.5× 46 0.5× 36 665
Danny Yu 395 1.3× 51 0.3× 136 1.3× 87 0.9× 99 1.1× 34 752

Countries citing papers authored by Yukun Li

Since Specialization
Citations

This map shows the geographic impact of Yukun Li'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 Yukun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukun Li more than expected).

Fields of papers citing papers by Yukun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yukun Li. 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 Yukun Li. The network helps show where Yukun Li may publish in the future.

Co-authorship network of co-authors of Yukun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yukun Li. A scholar is included among the top collaborators of Yukun Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yukun Li. Yukun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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