Yueping Wan

898 total citations
27 papers, 679 citations indexed

About

Yueping Wan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Yueping Wan has authored 27 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Yueping Wan's work include Prostate Cancer Treatment and Research (7 papers), RNA Research and Splicing (5 papers) and interferon and immune responses (3 papers). Yueping Wan is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), RNA Research and Splicing (5 papers) and interferon and immune responses (3 papers). Yueping Wan collaborates with scholars based in China, United States and Israel. Yueping Wan's co-authors include Owen Pornillos, Weide Zhong, Barbie K. Ganser‐Pornillos, Alex Hartov, Andrea Borsic, Ryan J. Halter, Keith D. Paulsen, Hongwei Luo, Devin E. Christensen and Katarzyna Skorupka and has published in prestigious journals such as Journal of Molecular Biology, Journal of Virology and Science Advances.

In The Last Decade

Yueping Wan

27 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yueping Wan China 17 315 169 136 93 90 27 679
Jingliang Chen China 14 197 0.6× 68 0.4× 78 0.6× 50 0.5× 27 0.3× 42 485
Dirk Hoffmann Germany 16 490 1.6× 184 1.1× 28 0.2× 50 0.5× 13 0.1× 28 762
Yunpeng Wang China 6 185 0.6× 133 0.8× 69 0.5× 25 0.3× 14 0.2× 23 458
Ramachandran Ramalingam United States 9 285 0.9× 118 0.7× 20 0.1× 179 1.9× 36 0.4× 13 571
Ralston M. Barnes United States 16 614 1.9× 107 0.6× 70 0.5× 16 0.2× 19 0.2× 25 802
Cinzia Fortini Italy 17 305 1.0× 209 1.2× 43 0.3× 135 1.5× 6 0.1× 21 775
Wenzheng Jiang China 15 207 0.7× 382 2.3× 29 0.2× 34 0.4× 15 0.2× 53 725
Xiang Guo United States 13 343 1.1× 128 0.8× 71 0.5× 6 0.1× 89 1.0× 25 770
Elham Masoumi Iran 13 289 0.9× 239 1.4× 40 0.3× 10 0.1× 31 0.3× 26 701

Countries citing papers authored by Yueping Wan

Since Specialization
Citations

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

Fields of papers citing papers by Yueping Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueping Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Yueping Wan. A scholar is included among the top collaborators of Yueping Wan 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 Yueping Wan. Yueping Wan 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.
Ho, Ruoya, Pallinti Purushotham, Louis F.L. Wilson, Yueping Wan, & Jochen Zimmer. (2024). Structure, function and assembly of soybean primary cell wall cellulose synthases. eLife. 13. 1 indexed citations
2.
3.
Gonçalves-Carneiro, Daniel, Yueping Wan, Kaneil K. Zadrozny, et al.. (2022). Poly(ADP-ribose) potentiates ZAP antiviral activity. PLoS Pathogens. 18(2). e1009202–e1009202. 33 indexed citations
4.
Cai, Zhiduan, Yangjia Zhuo, Ming Xi, et al.. (2020). Overexpression of SLC6A1 associates with drug resistance and poor prognosis in prostate cancer. BMC Cancer. 20(1). 289–289. 9 indexed citations
5.
Song, Wan, Ming Xi, Haibo Zhao, et al.. (2019). HMGCS2 functions as a tumor suppressor and has a prognostic impact in prostate cancer. Pathology - Research and Practice. 215(8). 152464–152464. 25 indexed citations
6.
Skorupka, Katarzyna, et al.. (2019). Hierarchical assembly governs TRIM5α recognition of HIV-1 and retroviral capsids. Science Advances. 5(11). eaaw3631–eaaw3631. 33 indexed citations
7.
Hua, Wei, et al.. (2018). Expression of Apelin in prostate cancer tissue and its correlation with clinical prognosis. Zhongguo jiceng yiyao. 25(12). 1545–1548. 1 indexed citations
8.
Sparrer, Konstantin M. J., Cindy Chiang, Jessica J. Chiang, et al.. (2018). TRIM25 Binds RNA to Modulate Cellular Anti-viral Defense. Journal of Molecular Biology. 430(24). 5280–5293. 70 indexed citations
9.
Liang, Yingke, Yanqiong Zhang, Zhaodong Han, et al.. (2017). Decreased expression of TCF12 contributes to progression and predicts biochemical recurrence in patients with prostate cancer. Tumor Biology. 39(6). 3726131992–3726131992. 12 indexed citations
10.
Wan, Yueping, Ming Xi, Huichan He, et al.. (2017). Expression and Clinical Significance of SOX9 in Renal Cell Carcinoma, Bladder Cancer and Penile Cancer. Oncology Research and Treatment. 40(1-2). 15–20. 20 indexed citations
11.
Wagner, Jonathan M., Devin E. Christensen, Akash Bhattacharya, et al.. (2017). General Model for Retroviral Capsid Pattern Recognition by TRIM5 Proteins. Journal of Virology. 92(4). 25 indexed citations
12.
Luo, Hongwei, Yueping Wan, Guanxing Chen, et al.. (2016). Protein regulator of cytokinesis 1 overexpression predicts biochemical recurrence in men with prostate cancer. Biomedicine & Pharmacotherapy. 78. 116–120. 22 indexed citations
13.
Zhuo, Yangjia, Ming Xi, Yueping Wan, et al.. (2015). Enhanced expression of centromere protein F predicts clinical progression and prognosis in patients with prostate cancer. International Journal of Molecular Medicine. 35(4). 966–972. 32 indexed citations
14.
Xi, Ming, Lü Cheng, Yueping Wan, & Wei Hua. (2015). [Incidence of depression and its related factors in cryptorchidism patients after surgical treatment].. PubMed. 21(1). 57–60. 3 indexed citations
15.
Fu, Hao, Huichan He, Zhaodong Han, et al.. (2014). MicroRNA-224 and its target CAMKK2 synergistically influence tumor progression and patient prognosis in prostate cancer. Tumor Biology. 36(3). 1983–1991. 30 indexed citations
16.
Yang, Xinlin, et al.. (2014). Antioxidative fullerol promotes osteogenesis of human adipose-derived stem cells. International Journal of Nanomedicine. 9. 4023–4023. 47 indexed citations
17.
Wan, Yueping, Ming Xi, Wan Song, et al.. (2014). Dysregulated microRNA-224/apelin axis associated with aggressive progression and poor prognosis in patients with prostate cancer. Human Pathology. 46(2). 295–303. 63 indexed citations
18.
Borsic, Andrea, Ryan J. Halter, Yueping Wan, Alex Hartov, & Keith D. Paulsen. (2010). Electrical impedance tomography reconstruction for three-dimensional imaging of the prostate. Physiological Measurement. 31(8). S1–S16. 48 indexed citations
19.
Wan, Yueping, et al.. (2010). Sensitivity study of an ultrasound coupled transrectal electrical impedance tomography system for prostate imaging. Physiological Measurement. 31(8). S17–S29. 26 indexed citations
20.
Borsic, Andrea, Ryan J. Halter, Yueping Wan, Alex Hartov, & Keith D. Paulsen. (2009). Sensitivity study and optimization of a 3D electric impedance tomography prostate probe. Physiological Measurement. 30(6). S1–S18. 16 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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