Jun‐Juan Zheng

484 total citations
13 papers, 338 citations indexed

About

Jun‐Juan Zheng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Jun‐Juan Zheng has authored 13 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Physiology. Recurrent topics in Jun‐Juan Zheng's work include Alzheimer's disease research and treatments (3 papers), Computational Drug Discovery Methods (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). Jun‐Juan Zheng is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Computational Drug Discovery Methods (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). Jun‐Juan Zheng collaborates with scholars based in China, United States and Hong Kong. Jun‐Juan Zheng's co-authors include Shaoxing Dai, Wenxing Li, Jing‐Fei Huang, Gong‐Hua Li, Yicheng Guo, Feifei Han, Qian Wang, Yue‐Dong Gao, Qian Wang and Qingnan Tian and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

Jun‐Juan Zheng

13 papers receiving 330 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‐Juan Zheng China 10 172 55 39 37 30 13 338
Glustein Pozo‐Molina Mexico 9 189 1.1× 30 0.5× 21 0.5× 103 2.8× 30 1.0× 16 476
Yongping Fan China 14 138 0.8× 20 0.4× 48 1.2× 13 0.4× 10 0.3× 37 433
Feng-Qing Huang China 8 336 2.0× 18 0.3× 56 1.4× 64 1.7× 9 0.3× 10 545
Akiko Omori Japan 10 278 1.6× 25 0.5× 21 0.5× 36 1.0× 5 0.2× 32 553
Ramakrishnan Veerabathiran India 10 126 0.7× 9 0.2× 32 0.8× 35 0.9× 30 1.0× 82 436
Xi Xiong China 14 135 0.8× 10 0.2× 41 1.1× 62 1.7× 8 0.3× 44 446
Carlos Lopez‐Gómez Spain 12 202 1.2× 35 0.6× 38 1.0× 38 1.0× 5 0.2× 31 439
Wenjia Lin China 5 108 0.6× 8 0.1× 19 0.5× 46 1.2× 59 2.0× 9 322
Franck Hansmannel France 13 243 1.4× 28 0.5× 45 1.2× 175 4.7× 13 0.4× 22 554
Hallie Blevins United States 6 359 2.1× 14 0.3× 47 1.2× 58 1.6× 7 0.2× 9 536

Countries citing papers authored by Jun‐Juan Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Juan Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun‐Juan Zheng

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

All Works

13 of 13 papers shown
1.
Li, Bingxiang, Han Zhang, Ya Li, et al.. (2020). Novel pathways of HIV latency reactivation revealed by integrated analysis of transcriptome and target profile of bryostatin. Scientific Reports. 10(1). 3511–3511. 16 indexed citations
2.
Li, Wenxing, et al.. (2019). Gain and loss events in the evolution of the apolipoprotein family in vertebrata. BMC Evolutionary Biology. 19(1). 209–209. 15 indexed citations
3.
4.
Zhou, Xia, Gong‐Hua Li, Sanqi An, et al.. (2018). A new method of identifying glioblastoma subtypes and creation of corresponding animal models. Oncogene. 37(35). 4781–4791. 6 indexed citations
5.
Zheng, Jun‐Juan, Wenxing Li, Yicheng Guo, et al.. (2018). Low expression of aging-related NRXN3 is associated with Alzheimer disease. Medicine. 97(28). e11343–e11343. 32 indexed citations
6.
Wang, Qian, Wenxing Li, Shaoxing Dai, et al.. (2017). Meta-Analysis of Parkinson’s Disease and Alzheimer’s Disease Revealed Commonly Impaired Pathways and Dysregulation of NRF2-Dependent Genes. Journal of Alzheimer s Disease. 56(4). 1525–1539. 75 indexed citations
7.
Li, Huijuan, Wenxing Li, Shaoxing Dai, et al.. (2017). Identification of metabolism-associated genes and pathways involved in different stages of clear cell renal cell carcinoma. Oncology Letters. 15(2). 2316–2322. 13 indexed citations
8.
Dai, Shaoxing, Jun‐Juan Zheng, Yicheng Guo, et al.. (2017). The identification and molecular mechanism of anti-stroke traditional Chinese medicinal compounds. Scientific Reports. 7(1). 41406–41406. 13 indexed citations
9.
Dai, Shaoxing, Wenxing Li, Feifei Han, et al.. (2016). In silico identification of anti-cancer compounds and plants from traditional Chinese medicine database. Scientific Reports. 6(1). 25462–25462. 58 indexed citations
10.
Guo, Yicheng, Lin Zhang, Shaoxing Dai, et al.. (2016). Independent Evolution of Winner Traits without Whole Genome Duplication in Dekkera Yeasts. PLoS ONE. 11(5). e0155140–e0155140. 6 indexed citations
11.
Li, Wenxing, Shaoxing Dai, Yicheng Guo, et al.. (2016). Integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targets. PeerJ. 4. e2470–e2470. 24 indexed citations
12.
13.
Shang, Yuanyuan, et al.. (2011). The adsorption effect of three mushroom powder on Cu<sup>2+</sup> of low concentration. 39. 2317–2320. 2 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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