Weiqi Lei

15 total papers · 1.9k total citations
11 papers, 1.6k citations indexed

About

Weiqi Lei is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Weiqi Lei has authored 11 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Immunology. Recurrent topics in Weiqi Lei's work include Diabetes and associated disorders (3 papers), TGF-β signaling in diseases (2 papers) and Bone Metabolism and Diseases (2 papers). Weiqi Lei is often cited by papers focused on Diabetes and associated disorders (3 papers), TGF-β signaling in diseases (2 papers) and Bone Metabolism and Diseases (2 papers). Weiqi Lei collaborates with scholars based in United States, China and Hong Kong. Weiqi Lei's co-authors include Xu Cao, Mei Wan, Xiangwei Wu, Lijuan Pang, Xu Feng, Tim R. Nagy, Ling Zhao, Junbo Hu, Wim Van Hul and Xinyu Peng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Weiqi Lei

11 papers receiving 1.5k citations

Hit Papers

TGF-β1–induced migration ... 2009 2026 2014 2020 2009 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Weiqi Lei 799 425 219 199 197 11 1.6k
Tamiyo Kon 678 0.8× 215 0.5× 184 0.8× 219 1.1× 385 2.0× 13 1.4k
Andrew M. Ho 719 0.9× 238 0.6× 163 0.7× 154 0.8× 257 1.3× 16 1.7k
Lingling Xian 798 1.0× 423 1.0× 206 0.9× 187 0.9× 151 0.8× 31 1.5k
R.L. van Bezooijen 767 1.0× 319 0.8× 145 0.7× 252 1.3× 113 0.6× 11 1.3k
David J. J. de Gorter 755 0.9× 310 0.7× 304 1.4× 148 0.7× 144 0.7× 24 1.5k
Aditi Mukherjee 1.3k 1.6× 462 1.1× 181 0.8× 239 1.2× 155 0.8× 23 1.8k
Tania Velletri 939 1.2× 377 0.9× 316 1.4× 91 0.5× 147 0.7× 16 1.6k
Puviindran Nadesan 1.1k 1.3× 369 0.9× 161 0.7× 130 0.7× 178 0.9× 28 2.2k
Tania M. Schroeder 1.2k 1.5× 401 0.9× 142 0.6× 147 0.7× 81 0.4× 11 1.6k
Vicky Kartsogiannis 1.0k 1.3× 692 1.6× 134 0.6× 238 1.2× 114 0.6× 27 1.7k

Countries citing papers authored by Weiqi Lei

Since Specialization
Citations

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

Fields of papers citing papers by Weiqi Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqi Lei

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