Lipeng Mao

42 total papers · 469 total citations
31 papers, 273 citations indexed

About

Lipeng Mao is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lipeng Mao has authored 31 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Lipeng Mao's work include SARS-CoV-2 and COVID-19 Research (5 papers), CAR-T cell therapy research (5 papers) and Single-cell and spatial transcriptomics (5 papers). Lipeng Mao is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), CAR-T cell therapy research (5 papers) and Single-cell and spatial transcriptomics (5 papers). Lipeng Mao collaborates with scholars based in China, Macao and United Kingdom. Lipeng Mao's co-authors include Yuan Ji, Ling Sun, Qingjie Wang, Le Zhang, Guobing Chen, Oscar Junhong Luo, Yu Wang, Wenwu Zhu, Qingqing Gu and Qianwen Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Frontiers in Immunology.

In The Last Decade

Lipeng Mao

29 papers receiving 271 citations

Author Peers

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

Author Last Decade Papers Cites
Lipeng Mao 157 55 49 46 45 31 273
Cristine Dieter 115 0.7× 98 1.8× 20 0.4× 58 1.3× 54 1.2× 28 302
Jie Bai 75 0.5× 30 0.5× 49 1.0× 24 0.5× 71 1.6× 26 291
Sang-Min Kim 61 0.4× 49 0.9× 116 2.4× 21 0.5× 40 0.9× 31 310
Khursheed Alam Wani 114 0.7× 45 0.8× 17 0.3× 14 0.3× 122 2.7× 27 313
Dominik Majewski 88 0.6× 41 0.7× 11 0.2× 95 2.1× 36 0.8× 31 322
Eleonora Petito 58 0.4× 20 0.4× 46 0.9× 43 0.9× 43 1.0× 25 302
Eisuke Suganuma 43 0.3× 26 0.5× 58 1.2× 48 1.0× 99 2.2× 31 310
Yangyang Qu 100 0.6× 44 0.8× 120 2.4× 19 0.4× 67 1.5× 31 285
Hongjun Miao 115 0.7× 86 1.6× 11 0.2× 32 0.7× 27 0.6× 32 252
Jun Yuan 75 0.5× 27 0.5× 90 1.8× 28 0.6× 64 1.4× 24 280

Countries citing papers authored by Lipeng Mao

Since Specialization
Citations

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

Fields of papers citing papers by Lipeng Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lipeng Mao

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