Lipeng Mao

479 total citations
31 papers, 278 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 278 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), Single-cell and spatial transcriptomics (5 papers) and CAR-T cell therapy research (5 papers). Lipeng Mao is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Single-cell and spatial transcriptomics (5 papers) and CAR-T cell therapy research (5 papers). Lipeng Mao collaborates with scholars based in China, Hong Kong and United Kingdom. Lipeng Mao's co-authors include Qingjie Wang, Yuan Ji, Ling Sun, Le Zhang, Oscar Junhong Luo, Yu Wang, Wenwu Zhu, Guobing Chen, Qianwen Chen and Qingqing Gu 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

30 papers receiving 276 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lipeng Mao China 11 160 56 49 47 45 31 278
Huabin Wang China 9 169 1.1× 127 2.3× 17 0.3× 15 0.3× 29 0.6× 44 343
Manyan Wu China 10 181 1.1× 93 1.7× 70 1.4× 84 1.8× 53 1.2× 20 298
Shota Fujimoto Japan 9 138 0.9× 59 1.1× 25 0.5× 23 0.5× 29 0.6× 20 297
Guogan Wang China 8 78 0.5× 28 0.5× 58 1.2× 24 0.5× 43 1.0× 18 221
Lu Pan China 9 119 0.7× 91 1.6× 20 0.4× 19 0.4× 61 1.4× 19 301
Yuwen Li China 8 73 0.5× 22 0.4× 10 0.2× 20 0.4× 87 1.9× 23 276
Shakiba Hassanzadeh Iran 7 135 0.8× 48 0.9× 24 0.5× 10 0.2× 44 1.0× 29 295
John Bæch Denmark 10 65 0.4× 14 0.3× 25 0.5× 70 1.5× 48 1.1× 20 298
Casper Eurlings Netherlands 6 159 1.0× 130 2.3× 146 3.0× 13 0.3× 28 0.6× 9 334
Aimin Qian China 13 146 0.9× 102 1.8× 21 0.4× 21 0.4× 177 3.9× 26 392

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

20 of 20 papers shown
1.
Xiao, Chanchan, Juan Wang, Lipeng Mao, et al.. (2025). Deciphering Immunosenescence From Child to Frailty: Transcriptional Changes, Inflammation Dynamics, and Adaptive Immune Alterations. Aging Cell. 24(7). e70082–e70082. 2 indexed citations
2.
Tian, Yun, Lipeng Mao, Zhixi Chen, et al.. (2024). Single-cell dissection reveals promotive role of ENO1 in leukemia stem cell self-renewal and chemoresistance in acute myeloid leukemia. Stem Cell Research & Therapy. 15(1). 347–347. 3 indexed citations
3.
Mao, Lipeng, et al.. (2024). Human T cell development and aging: Remodeling throughout the lifespan. 2(1). 9340021–9340021. 2 indexed citations
4.
Peng, Bo, Chanchan Xiao, Pengfei Chen, et al.. (2024). A novel method for identifying SARS-CoV-2 infection mutants via an epitope-specific CD8+ T cell test. Biosafety and Health. 6(3). 143–152. 1 indexed citations
5.
Wei, Xiaolei, Yue Zhu, Xianfeng Zha, et al.. (2024). Single‐Cell Multiomics Reveals TCR Clonotype‐Specific Phenotype and Stemness Heterogeneity of T‐ALL Cells. Cell Proliferation. 58(4). e13786–e13786. 1 indexed citations
6.
Chen, Qianwen, Lipeng Mao, Yu Wang, et al.. (2024). Association of SGLT2 inhibitor dapagliflozin with risks of acute kidney injury and all-cause mortality in acute myocardial infarction patients. European Journal of Clinical Pharmacology. 80(4). 613–620. 14 indexed citations
7.
Xiao, Tingting, Jun S. Wei, Yu Wang, et al.. (2024). Extracellular vesicle mediated targeting delivery of growth differentiation factor-15 improves myocardial repair by reprogramming macrophages post myocardial injury. Biomedicine & Pharmacotherapy. 172. 116224–116224. 13 indexed citations
8.
Wang, Haoyun, Xin Lv, Lipeng Mao, et al.. (2023). Hepatocellular carcinoma cell differentiation trajectory predicts immunotherapy, potential therapeutic drugs, and prognosis of patients. Open Life Sciences. 18(1). 20220656–20220656.
9.
Mao, Lipeng, Yu Wang, Qianwen Chen, et al.. (2023). Dapagliflozin reduces risk of heart failure rehospitalization in diabetic acute myocardial infarction patients: a propensity score-matched analysis. European Journal of Clinical Pharmacology. 79(7). 915–926. 16 indexed citations
10.
Mao, Lipeng, et al.. (2023). Empagliflozin-Pretreated Mesenchymal Stem Cell-Derived Small Extracellular Vesicles Attenuated Heart Injury. Oxidative Medicine and Cellular Longevity. 2023. 1–17. 14 indexed citations
11.
Mao, Lipeng, et al.. (2023). Aging-related alternative splicing landscapes across human T cells. 9340007–9340007. 1 indexed citations
12.
Zhang, Bei, Zhiyao Ren, Jianfu Zhao, et al.. (2023). Global analysis of HLA-A2 restricted MAGE-A3 tumor antigen epitopes and corresponding TCRs in non-small cell lung cancer. Theranostics. 13(13). 4449–4468. 10 indexed citations
13.
Sun, Ling, Yuan Ji, Chenkai Li, et al.. (2023). A 3D culture system improves the yield of MSCs-derived extracellular vesicles and enhances their therapeutic efficacy for heart repair. Biomedicine & Pharmacotherapy. 161. 114557–114557. 30 indexed citations
14.
Sun, Ling, Bing Han, Yu Wang, et al.. (2023). A New Scoring System for Predicting Ventricular Arrhythmia Risk in Patients with Acute Myocardial Infarction. Clinical Interventions in Aging. Volume 18. 283–292. 5 indexed citations
15.
Mao, Lipeng, et al.. (2022). Epigenetic Application of ATAC-Seq Based on Tn5 Transposase Purification Technology. Genetics Research. 2022. 1–9. 3 indexed citations
16.
Hu, Yang, Lipeng Mao, Xiang Jian, et al.. (2022). Gene Expression Analysis Reveals Age and Ethnicity Signatures Between Young and Old Adults in Human PBMC. SHILAP Revista de lepidopterología. 2. 797040–797040. 11 indexed citations
17.
Xiao, Chanchan, Lipeng Mao, Lijuan Gao, et al.. (2022). SARS-CoV-2 variant B.1.1.7 caused HLA-A2+ CD8+ T cell epitope mutations for impaired cellular immune response. iScience. 25(3). 103934–103934. 12 indexed citations
18.
Xiao, Chanchan, Guodong Zhu, Lipeng Mao, et al.. (2022). CD8+ T-Cell Epitope Variations Suggest a Potential Antigen HLA-A2 Binding Deficiency for Spike Protein of SARS-CoV-2. Frontiers in Immunology. 12. 764949–764949. 18 indexed citations
19.
Wang, Xiaofang, Lian Liu, Ling Xu, et al.. (2022). Single-cell profiling of T cells uncovers a tissue-resident memory-like T-cell subset associated with bidirectional prognosis for B-cell acute lymphoblastic leukemia. Frontiers in Immunology. 13. 957436–957436. 8 indexed citations
20.

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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