Yan Luo

111 total papers · 3.0k total citations
71 papers, 2.1k citations indexed

About

Yan Luo is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Yan Luo has authored 71 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 18 papers in Molecular Biology and 15 papers in Immunology. Recurrent topics in Yan Luo's work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Adipose Tissue and Metabolism (9 papers) and PARP inhibition in cancer therapy (5 papers). Yan Luo is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (9 papers), Adipose Tissue and Metabolism (9 papers) and PARP inhibition in cancer therapy (5 papers). Yan Luo collaborates with scholars based in China, United States and Belgium. Yan Luo's co-authors include Meilian Liu, Shile Huang, Long Chen, Lei Liu, Hongyu Zhou, Tao Shen, Xing Zhang, Baoshan Xu, Xuexian O. Yang and Wenxing Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Yan Luo

68 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Yan Luo 788 435 424 373 364 71 2.1k
Hongyu Zhou 1.5k 1.9× 257 0.6× 482 1.1× 176 0.5× 261 0.7× 61 2.8k
Raekil Park 1.1k 1.5× 268 0.6× 210 0.5× 223 0.6× 310 0.9× 84 2.3k
Christer T. Jansén 560 0.7× 228 0.5× 258 0.6× 190 0.5× 484 1.3× 93 2.4k
Cláudia Bincoletto 570 0.7× 372 0.9× 255 0.6× 230 0.6× 131 0.4× 69 1.9k
Luis E. Gómez-Quiroz 994 1.3× 522 1.2× 314 0.7× 195 0.5× 155 0.4× 104 2.5k
Emilia Maellaro 1.1k 1.4× 317 0.7× 191 0.5× 417 1.1× 195 0.5× 47 2.8k
Vittoria Rago 966 1.2× 180 0.4× 385 0.9× 177 0.5× 168 0.5× 96 3.1k
Maria Elena Ferrero 662 0.8× 191 0.4× 176 0.4× 287 0.8× 266 0.7× 107 2.7k
Durga Nand Tripathi 1.4k 1.8× 562 1.3× 203 0.5× 253 0.7× 167 0.5× 46 2.7k
Chwen-Ming Shih 969 1.2× 664 1.5× 275 0.6× 110 0.3× 148 0.4× 49 2.5k

Countries citing papers authored by Yan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Yan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Luo

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