Songping Wang

759 total citations
28 papers, 577 citations indexed

About

Songping Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Songping Wang has authored 28 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Songping Wang's work include Epigenetics and DNA Methylation (6 papers), Prostate Cancer Treatment and Research (6 papers) and Cancer-related molecular mechanisms research (4 papers). Songping Wang is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Prostate Cancer Treatment and Research (6 papers) and Cancer-related molecular mechanisms research (4 papers). Songping Wang collaborates with scholars based in United States, China and Paraguay. Songping Wang's co-authors include Bernard Kwabi‐Addo, Xiufang Xia, Xin Du, Nan Pan, Dongjie Zhang, Rick A. Kittles, Michael Ittmann, Victor Apprey, Stefan Ambs and Atsushi Terunuma and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Songping Wang

26 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songping Wang United States 14 214 110 104 80 78 28 577
Veridiana Munford Brazil 17 311 1.5× 27 0.2× 147 1.4× 6 0.1× 107 1.4× 38 877
Myung‐Chul Kim South Korea 17 261 1.2× 215 2.0× 12 0.1× 53 0.7× 120 1.5× 64 794
Madhu Sudhan Shaik United States 14 117 0.5× 156 1.4× 16 0.2× 34 0.4× 46 0.6× 17 515
Bin Zheng China 11 311 1.5× 30 0.3× 12 0.1× 77 1.0× 81 1.0× 24 626
René J. Boosman Netherlands 13 84 0.4× 104 0.9× 55 0.5× 9 0.1× 38 0.5× 32 456
Kexin Feng China 13 193 0.9× 31 0.3× 16 0.2× 17 0.2× 108 1.4× 47 479
Akihiro Tamura Japan 18 283 1.3× 78 0.7× 10 0.1× 25 0.3× 84 1.1× 67 959
Liang Gong China 15 315 1.5× 38 0.3× 22 0.2× 32 0.4× 110 1.4× 36 540
Xiaobo Luo China 15 246 1.1× 38 0.3× 6 0.1× 18 0.2× 103 1.3× 41 628
Isabel Fernandes Portugal 14 274 1.3× 182 1.7× 15 0.1× 227 2.8× 111 1.4× 55 839

Countries citing papers authored by Songping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Songping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Songping Wang. A scholar is included among the top collaborators of Songping 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 Songping Wang. Songping 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.
Cao, Shoubo, et al.. (2025). Development and economic analysis of fast breeder reactor- pressurized water reactor's two-component nuclear power system. Progress in Nuclear Energy. 190. 106011–106011.
2.
Lin, Xionghao, Andrey Ivanov, Songping Wang, et al.. (2022). HIV-1 Transcription Inhibitor 1E7-03 Decreases Nucleophosmin Phosphorylation. Molecular & Cellular Proteomics. 22(2). 100488–100488. 2 indexed citations
4.
Alanazi, Awadh, Andrey Ivanov, Namita Kumari, et al.. (2021). Targeting Tat–TAR RNA Interaction for HIV-1 Inhibition. Viruses. 13(10). 2004–2004. 15 indexed citations
5.
Zhou, Jingwei, et al.. (2021). Catalyst-free photoinduced selective oxidative C(sp3)–C(sp3) bond cleavage in arylamines. Green Chemistry. 23(9). 3261–3267. 18 indexed citations
6.
Wang, Songping, et al.. (2020). Establishing Rules for Self-Adhesion and Aggregation of N-Glycan Sugars Using Virus Glycan Shields. Langmuir. 36(46). 13769–13783. 4 indexed citations
7.
Wang, Songping, et al.. (2020). Androgen-induced Epigenetic Profiles of Polycomb and Trithorax Genes in Prostate Cancer Cells. Anticancer Research. 40(5). 2559–2565. 2 indexed citations
8.
Zhou, Jingwei, et al.. (2020). Catalyst-free photodecarbonylation of ortho-amino benzaldehyde. Green Chemistry. 22(11). 3421–3426. 14 indexed citations
9.
Niu, Xiaomei, Songping Wang, Xu Zhang, et al.. (2020). Genome Wide Association Analysis of Iron Overload in the Trans-Omics for Precision Medicine (TOPMed) Sickle Cell Disease Cohorts. Blood. 136(Supplement 1). 52–52.
10.
Apprey, Victor, Songping Wang, Wei Tang, et al.. (2019). Association of Genetic Ancestry With DNA Methylation Changes in Prostate Cancer Disparity. Anticancer Research. 39(11). 5861–5866. 13 indexed citations
11.
Zhu, Chao, et al.. (2019). Risk Factors for Esophageal Fistula in Esophageal Cancer Patients Treated with Radiotherapy: A Systematic Review and Meta-Analysis. Oncology Research and Treatment. 43(1-2). 34–41. 18 indexed citations
12.
Wang, Songping, et al.. (2016). Sex steroid-induced DNA methylation changes and inflammation response in prostate cancer. Cytokine. 86. 110–118. 19 indexed citations
13.
Yang, Ling, et al.. (2015). Changes in expression of Th1 and Th2 cytokines in bovine peripheral blood mononuclear cells during early pregnancy. Indian Journal of Animal Research. 16 indexed citations
14.
Liang, Yujia, et al.. (2014). Genetic association between ERCC5 rs17655 polymorphism and lung cancer risk: evidence based on a meta-analysis. Tumor Biology. 35(6). 5613–5618. 13 indexed citations
15.
Kwabi‐Addo, Bernard, Songping Wang, & Joseph M. Devaney. (2014). Abstract 388: Epigenome-wide profiling identified significant differences in DNA methylation between African-American and European-American men with prostate cancer. Cancer Research. 74(19_Supplement). 388–388. 1 indexed citations
16.
Wang, Songping, Tiffany H. Dorsey, Atsushi Terunuma, et al.. (2012). Relationship between Tumor DNA Methylation Status and Patient Characteristics in African-American and European-American Women with Breast Cancer. PLoS ONE. 7(5). e37928–e37928. 60 indexed citations
17.
Kwabi‐Addo, Bernard, Songping Wang, Woonbok Chung, et al.. (2010). Identification of Differentially Methylated Genes in Normal Prostate Tissues from African American and Caucasian Men. Clinical Cancer Research. 16(14). 3539–3547. 98 indexed citations
18.
Wang, Songping, et al.. (2007). Dual Probe with Fluorescent and Magnetic Properties for Imaging Solid Tumor Xenografts. Molecular Imaging. 6(2). 85–95. 13 indexed citations
19.
Kidd, La Creis R., Dina N. Paltoo, Songping Wang, et al.. (2005). Sequence variation within the 5′ regulatory regions of the vitamin D binding protein and receptor genes and prostate cancer risk. The Prostate. 64(3). 272–282. 26 indexed citations
20.
Wang, Songping, et al.. (2003). Transfer equation of exergy cost and its application. Science Bulletin. 48(7). 619–622. 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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