Jun Mao

821 total citations
39 papers, 561 citations indexed

About

Jun Mao is a scholar working on Molecular Biology, Plant Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jun Mao has authored 39 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Plant Science and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jun Mao's work include Sugarcane Cultivation and Processing (8 papers), Prenatal Screening and Diagnostics (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Jun Mao is often cited by papers focused on Sugarcane Cultivation and Processing (8 papers), Prenatal Screening and Diagnostics (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Jun Mao collaborates with scholars based in China, United States and United Kingdom. Jun Mao's co-authors include Ying Chen, Yuhu Shi, Benjing Wang, Zhiheng Liu, Michael Goodfellow, Lixin Zhang, Yinghua Liu, Zhidong Zhang, Yan Qian and Wei Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinica Chimica Acta.

In The Last Decade

Jun Mao

37 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Mao China 15 237 115 109 77 64 39 561
Philip A. I. Guthrie United Kingdom 13 208 0.9× 36 0.3× 39 0.4× 82 1.1× 13 0.2× 19 451
Manuel Ramos-Kuri Mexico 12 141 0.6× 54 0.5× 25 0.2× 129 1.7× 28 0.4× 20 594
Marty Bigos United States 7 238 1.0× 40 0.3× 55 0.5× 45 0.6× 21 0.3× 9 645
Xiaojian Cao China 10 354 1.5× 14 0.1× 152 1.4× 77 1.0× 36 0.6× 21 1.1k
Shinya Nishi Japan 9 215 0.9× 26 0.2× 37 0.3× 151 2.0× 11 0.2× 14 1.2k
Xiaohui Li China 14 292 1.2× 24 0.2× 26 0.2× 147 1.9× 11 0.2× 43 756
Nicholas C. Vamvakopoulos Greece 12 86 0.4× 66 0.6× 30 0.3× 40 0.5× 20 0.3× 25 495
Cecily V. Bishop United States 20 158 0.7× 21 0.2× 95 0.9× 153 2.0× 7 0.1× 58 971
Yan Dai China 10 137 0.6× 27 0.2× 62 0.6× 23 0.3× 6 0.1× 43 400
Azuwerus van Buiten Netherlands 13 98 0.4× 77 0.7× 15 0.1× 39 0.5× 17 0.3× 28 458

Countries citing papers authored by Jun Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Mao. A scholar is included among the top collaborators of Jun 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 Jun Mao. Jun 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.
2.
Mao, Jun, et al.. (2025). NaOH-assisted pyrolysis of azo dye-loaded powder activated carbon for optimized regeneration. Journal of Water Process Engineering. 75. 107969–107969.
3.
Shi, Lei, et al.. (2024). Knockdown of nuclear protein 1 delays pathological pro-gression of osteoarthritis through inhibiting chondrocyte ferroptosis. SHILAP Revista de lepidopterología. 53(6). 669–679. 3 indexed citations
4.
Xiang, Jingjing, Yang Ding, Hui Tang, et al.. (2024). Genetic analysis of pregnancy loss and fetal structural anomalies by whole exome sequencing. Orphanet Journal of Rare Diseases. 19(1). 330–330. 5 indexed citations
5.
Xiang, Jingjing, Yang Ding, Fei Yang, et al.. (2021). Genetic Analysis of Children With Unexplained Developmental Delay and/or Intellectual Disability by Whole-Exome Sequencing. Frontiers in Genetics. 12. 738561–738561. 15 indexed citations
6.
Xiang, Jingjing, Yang Ding, Xiaoyan Song, et al.. (2020). Clinical Utility of SNP Array Analysis in Prenatal Diagnosis: A Cohort Study of 5000 Pregnancies. Frontiers in Genetics. 11. 571219–571219. 21 indexed citations
7.
Mao, Jun, et al.. (2019). Genetic analysis of products of conception using a HLPA/SNP-array strategy. Molecular Cytogenetics. 12(1). 40–40. 7 indexed citations
8.
Zhang, Qin, Wenbin Wang, Qingxia Meng, et al.. (2018). Whole exome sequencing identifies a pathogenic mutation in WFS1 in two large Chinese families with autosomal dominant all-frequency hearing loss and prenatal counseling. International Journal of Pediatric Otorhinolaryngology. 106. 113–119. 4 indexed citations
9.
Li, Haibo, Min Xie, Qin Zhang, et al.. (2018). Submicroscopic chromosomal imbalances contribute to early abortion. Molecular Cytogenetics. 11(1). 41–41. 8 indexed citations
10.
Huang, Zhenyu, Dongdong Tang, Jingjing Gao, et al.. (2018). miR-34c disrupts spermatogonial stem cell homeostasis in cryptorchid testes by targeting Nanos2. Reproductive Biology and Endocrinology. 16(1). 97–97. 13 indexed citations
11.
Gao, Jingjing, Pan Gao, Dongdong Tang, et al.. (2017). Association between RNA-binding protein Ptbp2 and germ cell injury in an experimentally-induced unilateral cryptorchidism murine model. PLoS ONE. 12(10). e0186654–e0186654. 7 indexed citations
12.
Mao, Jun, Benjing Wang, Yinghua Liu, et al.. (2014). Confined placental origin of the circulating cell free fetal DNA revealed by a discordant non-invasive prenatal test result in a trisomy 18 pregnancy. Clinica Chimica Acta. 433. 190–193. 45 indexed citations
13.
Mao, Jun, Xiandong Yin, Ying Zhang, et al.. (2014). Ablation of Epicardial Ganglionated Plexi Increases Atrial Vulnerability to Arrhythmias in Dogs. Circulation Arrhythmia and Electrophysiology. 7(4). 711–717. 43 indexed citations
14.
Wang, Benjing, et al.. (2013). Association of SNPs in genes involved in folate metabolism with the risk of congenital heart disease. The Journal of Maternal-Fetal & Neonatal Medicine. 26(18). 1768–1777. 36 indexed citations
15.
Stavrakis, Stavros, Benjamin J. Scherlag, Youqi Fan, et al.. (2012). Inhibition of atrial fibrillation by low-level vagus nerve stimulation: the role of the nitric oxide signaling pathway. Journal of Interventional Cardiac Electrophysiology. 36(3). 199–208. 25 indexed citations
16.
Mao, Jun, Benjamin J. Scherlag, Yu Liu, et al.. (2012). The atrial neural network as a substrate for atrial fibrillation. Journal of Interventional Cardiac Electrophysiology. 35(1). 3–9. 5 indexed citations
17.
Stavrakis, Stavros, Benjamin J. Scherlag, Youqi Fan, et al.. (2012). Antiarrhythmic Effects of Vasostatin‐1 in a Canine Model of Atrial Fibrillation. Journal of Cardiovascular Electrophysiology. 23(7). 771–777. 30 indexed citations
18.
Xie, Min, et al.. (2012). [Application of next-generation sequencing technology for genetic diagnosis of Duchenne muscular dystrophy].. PubMed. 29(3). 249–54. 3 indexed citations
19.
20.
Chen, Ying, Jun Mao, Ying Sun, et al.. (2010). A novel mutation of GATA4 in a familial atrial septal defect. Clinica Chimica Acta. 411(21-22). 1741–1745. 35 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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