Junjun Mao

636 total citations
19 papers, 495 citations indexed

About

Junjun Mao is a scholar working on Pediatrics, Perinatology and Child Health, Transplantation and Molecular Biology. According to data from OpenAlex, Junjun Mao has authored 19 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 7 papers in Transplantation and 5 papers in Molecular Biology. Recurrent topics in Junjun Mao's work include Renal Transplantation Outcomes and Treatments (7 papers), Pharmacological Effects and Toxicity Studies (7 papers) and Drug Transport and Resistance Mechanisms (5 papers). Junjun Mao is often cited by papers focused on Renal Transplantation Outcomes and Treatments (7 papers), Pharmacological Effects and Toxicity Studies (7 papers) and Drug Transport and Resistance Mechanisms (5 papers). Junjun Mao collaborates with scholars based in China, United States and Canada. Junjun Mao's co-authors include Zheng Jiao, Xiaoyan Qiu, Chenyan Zhao, Chunjie Han, Xiaoming Pang, Shuyue Wang, Di Wu, Ming Li, Juntian Liu and Jingjing Zhao and has published in prestigious journals such as Journal of Cellular Physiology, Pharmaceutical Research and Atherosclerosis.

In The Last Decade

Junjun Mao

18 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjun Mao China 10 110 84 76 66 64 19 495
Ray Fernando United Kingdom 10 150 1.4× 26 0.3× 39 0.5× 14 0.2× 148 2.3× 18 545
Masami Ohmori Japan 14 110 1.0× 35 0.4× 14 0.2× 19 0.3× 98 1.5× 38 558
Laia Jofre‐Monseny Germany 9 149 1.4× 24 0.3× 8 0.1× 29 0.4× 102 1.6× 11 536
Martijn L. Manson Sweden 10 111 1.0× 44 0.5× 8 0.1× 15 0.2× 54 0.8× 18 659
Simonetta Sassi Italy 10 185 1.7× 21 0.3× 11 0.1× 121 1.8× 84 1.3× 16 489
Jorge Andrade‐Sierra Mexico 9 83 0.8× 20 0.2× 25 0.3× 11 0.2× 35 0.5× 31 351
Motoaki Komatsu Japan 11 236 2.1× 27 0.3× 12 0.2× 10 0.2× 89 1.4× 28 734
Maryam Shabani Iran 12 186 1.7× 16 0.2× 17 0.2× 8 0.1× 38 0.6× 32 564
Seldağ Bekpınar Türkiye 13 85 0.8× 13 0.2× 5 0.1× 26 0.4× 43 0.7× 35 387
Javier Briceño Spain 16 110 1.0× 60 0.7× 27 0.4× 8 0.1× 253 4.0× 27 684

Countries citing papers authored by Junjun Mao

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjun Mao

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

All Works

19 of 19 papers shown
1.
2.
Li, Rong, Feng Sun, Zhen Feng, et al.. (2024). Evaluation and application of population pharmacokinetic models for optimising linezolid treatment in non-adherence multidrug-resistant tuberculosis patients. European Journal of Pharmaceutical Sciences. 203. 106915–106915. 1 indexed citations
3.
Mao, Junjun, et al.. (2024). In vitro mechanistic study on mycophenolate mofetil drug interactions: effect of prednisone, cyclosporine, and others. Frontiers in Pharmacology. 15. 1443794–1443794. 2 indexed citations
4.
5.
Mao, Junjun, Yuhao Chen, Biwen Chen, et al.. (2022). Applying machine learning to the pharmacokinetic modeling of cyclosporine in adult renal transplant recipients: a multi-method comparison. Frontiers in Pharmacology. 13. 1016399–1016399. 10 indexed citations
6.
7.
Mao, Junjun, et al.. (2021). Factors Affecting Time-Varying Clearance of Cyclosporine in Adult Renal Transplant Recipients: A Population Pharmacokinetic Perspective. Pharmaceutical Research. 38(11). 1873–1887. 7 indexed citations
8.
Liu, Maochang, et al.. (2020). Effects of SCN1A and SCN2A polymorphisms on responsiveness to valproic acid monotherapy in epileptic children. Epilepsy Research. 168. 106485–106485. 12 indexed citations
9.
Mao, Junjun, Zheng Jiao, Xiaoyan Qiu, Ming Zhang, & Mingkang Zhong. (2020). Incorporating nonlinear kinetics to improve predictive performance of population pharmacokinetic models for ciclosporin in adult renal transplant recipients: A comparison of modelling strategies. European Journal of Pharmaceutical Sciences. 153. 105471–105471. 7 indexed citations
10.
Yao, Yang, Junjun Mao, Lei Zhao, et al.. (2018). Rosmarinic acid inhibits nicotine‐induced C‐reactive protein generation by inhibiting NLRP3 inflammasome activation in smooth muscle cells. Journal of Cellular Physiology. 234(2). 1758–1767. 42 indexed citations
11.
Mao, Junjun, et al.. (2017). External evaluation of population pharmacokinetic models for ciclosporin in adult renal transplant recipients. British Journal of Clinical Pharmacology. 84(1). 153–171. 48 indexed citations
12.
Li, Junfeng, Zhaoyun Zhang, Xiaoxia Liu, et al.. (2015). Study of GABA in Healthy Volunteers: Pharmacokinetics and Pharmacodynamics. Frontiers in Pharmacology. 6. 260–260. 63 indexed citations
13.
Zhao, Chenyan, Zheng Jiao, Junjun Mao, & Xiaoyan Qiu. (2015). External evaluation of published population pharmacokinetic models of tacrolimus in adult renal transplant recipients. British Journal of Clinical Pharmacology. 81(5). 891–907. 82 indexed citations
14.
Pang, Xiaoming, Juntian Liu, Jingjing Zhao, et al.. (2014). Homocysteine induces the expression of C-reactive protein via NMDAr-ROS-MAPK-NF-κB signal pathway in rat vascular smooth muscle cells. Atherosclerosis. 236(1). 73–81. 127 indexed citations
15.
Mao, Junjun, Xiaoming Pang, Ming Li, et al.. (2012). Nicotine Induces the Expression of C-Reactive Protein via MAPK-Dependent Signal Pathway in U937 Macrophages. Molecules and Cells. 34(5). 457–462. 30 indexed citations
16.
Han, Chunjie, Juntian Liu, Ming Li, et al.. (2012). Rosiglitazone inhibits angiotensin II-induced C-reactive protein production in human aortic endothelial cells through regulating AT1–ROS–MAPK signal pathway. Inflammation Research. 61(9). 1031–1037. 6 indexed citations
17.
Li, Ming, et al.. (2012). Epigallocatechin-3-gallate inhibits angiotensin II and interleukin-6-induced C-reactive protein production in macrophages. Pharmacological Reports. 64(4). 912–918. 29 indexed citations
18.
Li, Ming, Juntian Liu, Chunjie Han, et al.. (2011). Angiotensin II Induces the Expression of C-reactive Protein via MAPK-Dependent Signal Pathway in U937 Macrophages. Cellular Physiology and Biochemistry. 27(1). 63–70. 16 indexed citations
19.
Han, Chunjie, et al.. (2011). [Mechanism of Dahuang Zhechong pill against atherosclerosis induced by balloon angioplasty in rabbits].. PubMed. 34(12). 1919–22. 3 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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