Lirong Yan

19 total papers · 449 total citations
13 papers, 325 citations indexed

About

Lirong Yan is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Lirong Yan has authored 13 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Biomedical Engineering. Recurrent topics in Lirong Yan's work include Advanced biosensing and bioanalysis techniques (4 papers), Extracellular vesicles in disease (2 papers) and Systemic Lupus Erythematosus Research (1 paper). Lirong Yan is often cited by papers focused on Advanced biosensing and bioanalysis techniques (4 papers), Extracellular vesicles in disease (2 papers) and Systemic Lupus Erythematosus Research (1 paper). Lirong Yan collaborates with scholars based in China and India. Lirong Yan's co-authors include Li Gao, Keping Chen, Qin Li, Liang Chen, Yang Zhou, Chunxia Zhang, Yang Zhou, Haixia Shi, Hongtao Hu and Zixuan Sun and has published in prestigious journals such as Nanoscale, Biosensors and Bioelectronics and Advanced Science.

In The Last Decade

Lirong Yan

13 papers receiving 321 citations

Author Peers

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

Author Last Decade Papers Cites
Lirong Yan 219 161 120 90 22 13 325
Chammari Pothipor 277 1.3× 165 1.0× 107 0.9× 94 1.0× 36 1.6× 10 330
Maja Stanisavljević 212 1.0× 135 0.8× 174 1.4× 63 0.7× 20 0.9× 10 364
Ziheng Hu 186 0.8× 93 0.6× 107 0.9× 122 1.4× 33 1.5× 19 359
Kellie Adamson 187 0.9× 85 0.5× 89 0.7× 42 0.5× 15 0.7× 15 344
Zhankui Jia 178 0.8× 82 0.5× 118 1.0× 72 0.8× 26 1.2× 11 335
Xinyu Hu 170 0.8× 105 0.7× 87 0.7× 44 0.5× 12 0.5× 18 310
Seongjae Jo 176 0.8× 173 1.1× 44 0.4× 90 1.0× 25 1.1× 16 351
Xiaoran Tan 239 1.1× 165 1.0× 140 1.2× 101 1.1× 41 1.9× 10 347
Kuan Yu Hsieh 73 0.3× 192 1.2× 100 0.8× 67 0.7× 20 0.9× 12 291
Alice J. Gillen 80 0.4× 145 0.9× 155 1.3× 103 1.1× 10 0.5× 15 315

Countries citing papers authored by Lirong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lirong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lirong Yan

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