Songpei Li

44 total papers · 945 total citations
29 papers, 744 citations indexed

About

Songpei Li is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Songpei Li has authored 29 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Epidemiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Songpei Li's work include Extracellular vesicles in disease (6 papers), Diet, Metabolism, and Disease (5 papers) and RNA Interference and Gene Delivery (5 papers). Songpei Li is often cited by papers focused on Extracellular vesicles in disease (6 papers), Diet, Metabolism, and Disease (5 papers) and RNA Interference and Gene Delivery (5 papers). Songpei Li collaborates with scholars based in China, Australia and Japan. Songpei Li's co-authors include Lingmin Zhang, Yinshan Lin, Ji‐Ming Ye, Wei Li, Kazuo Koike, Xiyong Yu, Yoshihisa Asada, Xiu Zhou, Xiao‐Yi Zeng and Xiaoling Guan and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Chemical Engineering Journal.

In The Last Decade

Songpei Li

28 papers receiving 737 citations

Author Peers

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

Author Last Decade Papers Cites
Songpei Li 412 119 116 74 69 29 744
Jia Gu 304 0.7× 62 0.5× 118 1.0× 114 1.5× 46 0.7× 28 733
Xiaobao Gong 343 0.8× 75 0.6× 79 0.7× 67 0.9× 44 0.6× 24 727
Magdalena Kusaczuk 292 0.7× 59 0.5× 105 0.9× 45 0.6× 60 0.9× 27 706
Maria V. Savvateeva 367 0.9× 82 0.7× 54 0.5× 65 0.9× 47 0.7× 20 829
Jiang Zou 483 1.2× 60 0.5× 135 1.2× 83 1.1× 42 0.6× 31 834
Fangjie Chen 270 0.7× 82 0.7× 67 0.6× 102 1.4× 60 0.9× 37 683
Stevan Pecic 411 1.0× 112 0.9× 49 0.4× 31 0.4× 33 0.5× 42 889
Xiaoran Yin 424 1.0× 134 1.1× 69 0.6× 75 1.0× 95 1.4× 27 842
Akemi Hayakawa 362 0.9× 114 1.0× 57 0.5× 104 1.4× 81 1.2× 35 861
Jianli Guo 503 1.2× 66 0.6× 115 1.0× 38 0.5× 67 1.0× 49 876

Countries citing papers authored by Songpei Li

Since Specialization
Citations

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

Fields of papers citing papers by Songpei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songpei Li

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