Zengjun Wang

1.1k total citations
41 papers, 833 citations indexed

About

Zengjun Wang is a scholar working on Reproductive Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Zengjun Wang has authored 41 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Reproductive Medicine, 18 papers in Molecular Biology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Zengjun Wang's work include Sperm and Testicular Function (22 papers), Reproductive Biology and Fertility (11 papers) and RNA Interference and Gene Delivery (4 papers). Zengjun Wang is often cited by papers focused on Sperm and Testicular Function (22 papers), Reproductive Biology and Fertility (11 papers) and RNA Interference and Gene Delivery (4 papers). Zengjun Wang collaborates with scholars based in China, United States and Chile. Zengjun Wang's co-authors include Michael G. O’Rand, Richard T. Richardson, Esther E. Widgren, Chenkui Miao, Jianzhong Zhang, Aiming Xu, Bianjiang Liu, Chao Liang, P. Sivashanmugam and Shifeng Su and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Zengjun Wang

39 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zengjun Wang China 17 383 323 246 134 119 41 833
Yung-Ming Lin Taiwan 17 409 1.1× 449 1.4× 192 0.8× 118 0.9× 345 2.9× 46 1.0k
Laura Dı́az-Cueto Mexico 16 272 0.7× 322 1.0× 278 1.1× 48 0.4× 88 0.7× 32 832
Mieke de Boer-Brouwer Netherlands 15 416 1.1× 331 1.0× 264 1.1× 52 0.4× 153 1.3× 19 754
Julie Girouard Canada 19 566 1.5× 551 1.7× 261 1.1× 186 1.4× 118 1.0× 28 1.3k
Graeme Scobie United Kingdom 13 400 1.0× 343 1.1× 187 0.8× 65 0.5× 388 3.3× 22 922
Guishuan Wang China 12 280 0.7× 302 0.9× 180 0.7× 87 0.6× 139 1.2× 35 670
Cecilia Cariño Mexico 10 348 0.9× 539 1.7× 641 2.6× 81 0.6× 289 2.4× 17 1.2k
Xuemei Wu China 17 270 0.7× 669 2.1× 709 2.9× 54 0.4× 266 2.2× 58 1.3k
Yanqin Hu China 14 244 0.6× 344 1.1× 138 0.6× 239 1.8× 128 1.1× 34 770
Ruiying Diao China 16 224 0.6× 344 1.1× 128 0.5× 164 1.2× 88 0.7× 28 719

Countries citing papers authored by Zengjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zengjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zengjun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zengjun Wang. A scholar is included among the top collaborators of Zengjun Wang 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 Zengjun Wang. Zengjun Wang 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.
Chen, Tong, Liangyu Yao, Jiaochen Luan, et al.. (2023). Epididymal segment-specific miRNA and mRNA regulatory network at the single cell level. Cell Cycle. 22(19). 2194–2209. 1 indexed citations
2.
Chen, Tong, Yichun Wang, Linlin Tian, et al.. (2022). Aberrant Gene Expression Profiling in Men With Sertoli Cell-Only Syndrome. Frontiers in Immunology. 13. 821010–821010. 9 indexed citations
3.
4.
Yu, Yajie, Chao Liang, Meiling Bao, Pengfei Shao, & Zengjun Wang. (2017). Retroperitoneal laparoscopic partial nephrectomy with segmental renal artery clamping for cancer of the left upper calyx: a case report. BMC Urology. 17(1). 73–73. 1 indexed citations
5.
Zhu, Jundong, Chenkui Miao, Shouyong Liu, et al.. (2017). Prognostic role of CD82/KAI1 in multiple human malignant neoplasms: a meta-analysis of 31 studies. OncoTargets and Therapy. Volume 10. 5805–5816. 8 indexed citations
6.
Zhu, Jundong, Chao Liang, Yibo Hua, et al.. (2017). The metastasis suppressor CD82/KAI1 regulates cell migration and invasion via inhibiting TGF-β 1/Smad signaling in renal cell carcinoma. Oncotarget. 8(31). 51559–51568. 22 indexed citations
7.
Liang, Chao, Chenkui Miao, Jundong Zhu, et al.. (2017). TRIM29 as a prognostic predictor for multiple human malignant neoplasms: a systematic review and meta-analysis. Oncotarget. 9(15). 12323–12332. 10 indexed citations
8.
Wang, Zengjun, Wei Zhang, Weimin Zhou, et al.. (2016). Multivariate model for predicting semen cryopreservation outcomes in a human sperm bank. Asian Journal of Andrology. 19(4). 404–404. 6 indexed citations
9.
Xu, Aiming, Yibo Hua, Jianzhong Zhang, et al.. (2016). Abnormal Hypermethylation of the VDAC2 Promoter is a Potential Cause of Idiopathic Asthenospermia in Men. Scientific Reports. 6(1). 37836–37836. 21 indexed citations
10.
Wang, Wei, et al.. (2015). Enolase1 (ENO1) and glucose-6-phosphate isomerase (GPI) are good markers to predict human sperm freezability. Cryobiology. 71(1). 141–145. 35 indexed citations
11.
Liu, Bianjiang, Min Tang, Zhijian Han, et al.. (2014). Co-Incubation of Human Spermatozoa with Anti-VDAC Antibody Reduced Sperm Motility. Cellular Physiology and Biochemistry. 33(1). 142–150. 9 indexed citations
12.
Tang, Min, Bianjiang Liu, Shangqian Wang, et al.. (2014). The role of mitochondrial aconitate (ACO2) in human sperm motility. Systems Biology in Reproductive Medicine. 60(5). 251–256. 24 indexed citations
13.
Fang, Jianzheng, Bin Xu, Shengli Zhang, et al.. (2013). Correlation of Epididymal Protease Inhibitor and Fibronectin in Human Semen. PLoS ONE. 8(12). e82600–e82600. 3 indexed citations
14.
15.
Liu, Bianjiang, Wei Zhang, & Zengjun Wang. (2010). Voltage-dependent anion channel in mammalian spermatozoa. Biochemical and Biophysical Research Communications. 397(4). 633–636. 15 indexed citations
16.
Liu, Bianjiang, Peng Wang, Zengjun Wang, et al.. (2010). Analysis and difference of voltage-dependent anion channel mRNA in ejaculated spermatozoa from normozoospermic fertile donors and infertile patients with idiopathic asthenozoospermia. Journal of Assisted Reproduction and Genetics. 27(12). 719–724. 28 indexed citations
17.
Ding, Xinliang, Bin Zhang, Zengjun Wang, et al.. (2009). Localization of epididymal protease inhibitor in adult rat and its transcription profile in testis during postnatal development. Asian Journal of Andrology. 11(6). 731–739. 5 indexed citations
18.
Wang, Wei, Ningxia Lu, Yankai Xia, et al.. (2009). FAS and FASLG polymorphisms and susceptibility to idiopathic azoospermia or severe oligozoospermia. Reproductive BioMedicine Online. 18(1). 141–147. 16 indexed citations
19.
Wang, Zengjun, et al.. (2008). Molecular mechanism of epididymal protease inhibitor modulating the liquefaction of human semen. Asian Journal of Andrology. 10(5). 770–775. 11 indexed citations
20.
Wang, Zengjun, Esther E. Widgren, P. Sivashanmugam, Michael G. O’Rand, & Richard T. Richardson. (2005). Association of Eppin with Semenogelin on Human Spermatozoa1. Biology of Reproduction. 72(5). 1064–1070. 71 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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