Jun Mao

426 total citations
21 papers, 313 citations indexed

About

Jun Mao is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Jun Mao has authored 21 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 5 papers in Plant Science. Recurrent topics in Jun Mao's work include Computational Drug Discovery Methods (5 papers), Plant Stress Responses and Tolerance (4 papers) and Microtubule and mitosis dynamics (4 papers). Jun Mao is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Plant Stress Responses and Tolerance (4 papers) and Microtubule and mitosis dynamics (4 papers). Jun Mao collaborates with scholars based in China, United States and South Korea. Jun Mao's co-authors include Qinghua Yang, Huifang Zheng, Ruixin Shao, Hui Zhang, Xudong Zhang, Lan Ding, Yifei Qi, John Z. H. Zhang, Min Wei and Chun‐Tao Liu and has published in prestigious journals such as International Journal of Molecular Sciences, Life Sciences and Journal of Alloys and Compounds.

In The Last Decade

Jun Mao

19 papers receiving 311 citations

Peers

Jun Mao
Yao Cheng China
Mark Nelms United States
Jinlei Liu China
Yimei Liu China
Jianping Huang China
Ali S. Duhaiman Saudi Arabia
Quan Yuan China
Jinbo Zhang China
Arumugam Ramachandran Muralidharan India
Navneet Kumar Yadav India
Yao Cheng China
Jun Mao
Citations per year, relative to Jun Mao Jun Mao (= 1×) peers Yao Cheng

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.. (2024). Identification of Salvianolic acid A as a potent inhibitor of PDEs to enhance proliferation of human neural stem cells. Journal of Molecular Structure. 1324. 140905–140905.
3.
Mao, Jun, et al.. (2023). Exploring a general convolutional neural network-based prediction model for critical casting diameter of metallic glasses. Journal of Alloys and Compounds. 947. 169479–169479. 10 indexed citations
4.
5.
Wang, Bo, Jun Mao, Min Wei, Yifei Qi, & John Z. H. Zhang. (2022). SeBPPI: A Sequence-Based Protein–Protein Binding Predictor. Journal of Computational Biophysics and Chemistry. 21(6). 729–737. 1 indexed citations
6.
7.
Zhao, Jiaohong, et al.. (2021). New insights into the effect of NdhO levels on cyanobacterial cell death triggered by high temperature. Functional Plant Biology. 49(6). 533–541. 2 indexed citations
8.
Mao, Jun, et al.. (2021). Discovery of microtubule stabilizers with novel scaffold structures based on virtual screening, biological evaluation, and molecular dynamics simulation. Chemico-Biological Interactions. 352. 109784–109784. 7 indexed citations
9.
Zhang, Hui, Jun Mao, Chun‐Tao Liu, et al.. (2021). Discovery of novel tubulin inhibitors targeting taxanes site by virtual screening, molecular dynamic simulation, and biological evaluation. Journal of Cellular Biochemistry. 122(11). 1609–1624. 8 indexed citations
10.
Zhang, Hui, Jun Mao, Huanzhang Xie, et al.. (2020). Developing novel computational prediction models for assessing chemical-induced neurotoxicity using naïve Bayes classifier technique. Food and Chemical Toxicology. 143. 111513–111513. 15 indexed citations
11.
Zhang, Hui, Chun‐Tao Liu, Jun Mao, et al.. (2020). Development of novel in silico prediction model for drug-induced ototoxicity by using naïve Bayes classifier approach. Toxicology in Vitro. 65. 104812–104812. 25 indexed citations
12.
Zhang, Hui, et al.. (2020). Developing novel in silico prediction models for assessing chemical reproductive toxicity using the naïve Bayes classifier method. Journal of Applied Toxicology. 40(9). 1198–1209. 8 indexed citations
13.
Zhang, Hui, et al.. (2019). In silico prediction of drug-induced developmental toxicity by using machine learning approaches. Molecular Diversity. 24(4). 1281–1290. 23 indexed citations
14.
Su, Xiaoyu, et al.. (2018). Physiology and transcriptome analyses reveal a protective effect of the radical scavenger melatonin in aging maize seeds. Free Radical Research. 52(10). 1094–1109. 28 indexed citations
15.
Shao, Ruixin, Huifang Zheng, Jun Mao, et al.. (2018). Salicylic acid-induced photosynthetic adaptability of Zea mays L. to polyethylene glycol-simulated water deficit is associated with nitric oxide signaling. Photosynthetica. 56(4). 1370–1377. 24 indexed citations
16.
Liu, Bowen, et al.. (2017). Dynamics in the neural network of an in vitro epilepsy model. International Journal of Data Mining and Bioinformatics. 18(2). 125–125. 2 indexed citations
17.
Shao, Ruixin, et al.. (2015). Changes in chloroplast ultrastructure in leaves of drought-stressed maize inbred lines. Photosynthetica. 54(1). 74–80. 70 indexed citations
18.
Shao, Ruixin, et al.. (2015). Physiological, Ultrastructural and Proteomic Responses in the Leaf of Maize Seedlings to Polyethylene Glycol-Stimulated Severe Water Deficiency. International Journal of Molecular Sciences. 16(9). 21606–21625. 14 indexed citations
19.
Madhavan, Radhika, Jun Mao, Suna Choi, et al.. (2004). Electrical design of wafer level package on board for gigabit data transmission. 150–159. 6 indexed citations
20.
Madhavan, Radhika, Jun Mao, Sanghun Choi, et al.. (2004). Effect of wafer level packaging, silicon substrate and board material on gigabit board-silicon-board data transmission. 1506–1512. 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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