Lei Mai

1.0k total citations · 1 hit paper
5 papers, 681 citations indexed

About

Lei Mai is a scholar working on Genetics, Infectious Diseases and Neurology. According to data from OpenAlex, Lei Mai has authored 5 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Infectious Diseases and 2 papers in Neurology. Recurrent topics in Lei Mai's work include Inflammatory Bowel Disease (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Lei Mai is often cited by papers focused on Inflammatory Bowel Disease (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Lei Mai collaborates with scholars based in China. Lei Mai's co-authors include Renxu Lai, Yuan Liu, Lin Lü, Siwen Huang, Zhenyi Zhang, Hong Shan, Zhenling Zhang, Zhiqiang Gu, Zhaoxiong Fang and Zhixiang Yan and has published in prestigious journals such as Gut, Frontiers in Physiology and The American Journal of the Medical Sciences.

In The Last Decade

Lei Mai

4 papers receiving 667 citations

Hit Papers

Gastrointestinal symptoms of 95 cases with SARS-CoV-2 inf... 2020 2026 2022 2024 2020 200 400 600

Peers

Lei Mai
Renxu Lai China
Jia Feng China
Carlos Salama United States
Kacie J. Hoyt United States
Lei Mai
Citations per year, relative to Lei Mai Lei Mai (= 1×) peers Honggang Shi

Countries citing papers authored by Lei Mai

Since Specialization
Citations

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

Fields of papers citing papers by Lei Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Mai

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Mai. A scholar is included among the top collaborators of Lei Mai 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 Lei Mai. Lei Mai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Lü, Lin, Fa‐Min Zeng, Lei Mai, et al.. (2023). Expression of ACE2, TMPRSS2, and SARS-CoV-2 nucleocapsid protein in gastrointestinal tissues from COVID-19 patients and association with gastrointestinal symptoms. The American Journal of the Medical Sciences. 366(6). 430–437. 4 indexed citations
2.
Chen, Junrong, et al.. (2022). Efficacy and safety of low-dose thalidomide combined with mesalazine in the treatment of refractory ulcerative colitis in adults. Gastroenterology report. 10. goac032–goac032. 4 indexed citations
3.
Lü, Lin, Zhenling Zhang, Siwen Huang, et al.. (2020). Gastrointestinal symptoms of 95 cases with SARS-CoV-2 infection. Gut. 69(6). 997–1001. 642 indexed citations breakdown →
5.
Shi, Wanting, et al.. (2019). Analysis of Genes Involved in Ulcerative Colitis Activity and Tumorigenesis Through Systematic Mining of Gene Co-expression Networks. Frontiers in Physiology. 10. 662–662. 31 indexed citations

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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