Liyuan Ke

25 total papers · 711 total citations
21 papers, 540 citations indexed

About

Liyuan Ke is a scholar working on Molecular Biology, Oncology and Complementary and alternative medicine. According to data from OpenAlex, Liyuan Ke has authored 21 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Complementary and alternative medicine. Recurrent topics in Liyuan Ke's work include Cancer Immunotherapy and Biomarkers (5 papers), Traditional Chinese Medicine Analysis (5 papers) and Ginseng Biological Effects and Applications (3 papers). Liyuan Ke is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Traditional Chinese Medicine Analysis (5 papers) and Ginseng Biological Effects and Applications (3 papers). Liyuan Ke collaborates with scholars based in China and United States. Liyuan Ke's co-authors include Kai Shi, Yan Fang, Ronald J. Lukas, Shan Gao, Dongjuan Yang, Merouane Bencherif, Xuechao Jin, Xiaojie Lin, Xiyan Wang and Qi Wang and has published in prestigious journals such as Journal of Controlled Release, Journal of Pharmacology and Experimental Therapeutics and Frontiers in Immunology.

In The Last Decade

Liyuan Ke

20 papers receiving 537 citations

Author Peers

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

Author Last Decade Papers Cites
Liyuan Ke 239 121 119 111 75 21 540
Wenjing Lai 294 1.2× 89 0.7× 140 1.2× 72 0.6× 69 0.9× 34 566
Xiaoxin Sun 239 1.0× 106 0.9× 47 0.4× 68 0.6× 58 0.8× 28 593
Huatian Gan 158 0.7× 95 0.8× 69 0.6× 74 0.7× 56 0.7× 22 490
Wei Zhao 189 0.8× 165 1.4× 85 0.7× 95 0.9× 90 1.2× 31 587
Ze Mi 184 0.8× 221 1.8× 62 0.5× 39 0.4× 45 0.6× 28 528
Junxiao Gao 146 0.6× 207 1.7× 61 0.5× 40 0.4× 100 1.3× 21 510
Haiying Hua 236 1.0× 74 0.6× 59 0.5× 84 0.8× 104 1.4× 43 571
Sunil Kumar Surapaneni 280 1.2× 134 1.1× 39 0.3× 85 0.8× 96 1.3× 22 573
Peiliang Shen 220 0.9× 118 1.0× 61 0.5× 66 0.6× 44 0.6× 23 471
Mehdi Sanati 235 1.0× 121 1.0× 40 0.3× 49 0.4× 120 1.6× 35 591

Countries citing papers authored by Liyuan Ke

Since Specialization
Citations

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

Fields of papers citing papers by Liyuan Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyuan Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Liyuan Ke. A scholar is included among the top collaborators of Liyuan Ke 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 Liyuan Ke. Liyuan Ke 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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