Shengjun Wang

1.2k total citations
52 papers, 940 citations indexed

About

Shengjun Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Shengjun Wang has authored 52 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Oncology. Recurrent topics in Shengjun Wang's work include Radiopharmaceutical Chemistry and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). Shengjun Wang is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). Shengjun Wang collaborates with scholars based in China, United States and Hong Kong. Shengjun Wang's co-authors include Ying-Hai Wang, Zi‐Gang Huang, Zhi-Xi Wu, Xin‐Jian Xu, Jing Wang, Fei Kang, Weidong Yang, Guoquan Li, Mingru Zhang and Xuewu Liu and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and International Journal of Hydrogen Energy.

In The Last Decade

Shengjun Wang

51 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengjun Wang China 18 214 209 182 173 133 52 940
Elena Zotenko United States 17 55 0.3× 1.7k 8.3× 318 1.7× 21 0.1× 175 1.3× 27 2.1k
Brian Enright United States 17 45 0.2× 745 3.6× 332 1.8× 110 0.6× 26 0.2× 35 1.6k
Paul Daniel Canada 19 41 0.2× 394 1.9× 115 0.6× 308 1.8× 135 1.0× 34 1.3k
Jeffrey West United States 20 15 0.1× 421 2.0× 201 1.1× 204 1.2× 97 0.7× 43 1.6k
Gabriel S. Eichler United States 15 13 0.1× 1.2k 5.8× 132 0.7× 81 0.5× 118 0.9× 23 1.8k
Dariusz Leszczyński Finland 24 13 0.1× 413 2.0× 46 0.3× 170 1.0× 170 1.3× 90 2.0k
Luis H. Ospina Canada 16 11 0.1× 446 2.1× 206 1.1× 263 1.5× 185 1.4× 49 1.4k
Fraser Elisabeth Tan United States 9 16 0.1× 276 1.3× 113 0.6× 246 1.4× 173 1.3× 13 859
Mahdi Jalili Iran 14 8 0.0× 380 1.8× 43 0.2× 88 0.5× 43 0.3× 60 783
Laurent Pujo-Menjouet France 16 7 0.0× 363 1.7× 104 0.6× 57 0.3× 81 0.6× 46 893

Countries citing papers authored by Shengjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shengjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengjun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengjun Wang. A scholar is included among the top collaborators of Shengjun 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 Shengjun Wang. Shengjun 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.
Qian, Xu, et al.. (2025). Recent advances of trace elements in autoimmune thyroid disease. Frontiers in Immunology. 16. 1662521–1662521.
2.
Yin, Kai, et al.. (2025). The role of m6A modification during macrophage metabolic reprogramming in human diseases and animal models. Frontiers in Immunology. 16. 1521196–1521196. 4 indexed citations
3.
Zhang, Xing, Jincheng Yu, Shiwei Zhang, et al.. (2025). Ru@RuO2 bifunctional electrocatalyst for efficient and stable overall water splitting. International Journal of Hydrogen Energy. 170. 151229–151229. 1 indexed citations
4.
Li, Xiaodan, et al.. (2025). Iron-assisted anammox process under acidic conditions: A combination of chemical and biological mechanisms. Journal of environmental chemical engineering. 13(2). 115848–115848. 1 indexed citations
7.
Wang, Shengjun, et al.. (2020). Homogeneous production and characterization of recombinant N-GlcNAc-protein in Pichia pastoris. Microbial Cell Factories. 19(1). 7–7. 16 indexed citations
8.
Zhu, Dongwei, Jie Tian, Xinyu Wu, et al.. (2019). G-MDSC-derived exosomes attenuate collagen-induced arthritis by impairing Th1 and Th17 cell responses. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(12). 165540–165540. 59 indexed citations
9.
Kang, Fei, Wei Mu, Jie Gong, et al.. (2019). Integrating manual diagnosis into radiomics for reducing the false positive rate of 18F-FDG PET/CT diagnosis in patients with suspected lung cancer. European Journal of Nuclear Medicine and Molecular Imaging. 46(13). 2770–2779. 35 indexed citations
10.
Yang, Weidong, Mingru Zhang, Guoquan Li, et al.. (2016). Evaluation of 68Ga-labeled iNGR peptide with tumor-penetrating motif for microPET imaging of CD13-positive tumor xenografts. Tumor Biology. 37(9). 12123–12131. 14 indexed citations
11.
Wang, Zhe, Mingru Zhang, Liang Wang, et al.. (2015). Prospective Study of 68Ga-NOTA-NFB: Radiation Dosimetry in Healthy Volunteers and First Application in Glioma Patients. Theranostics. 5(8). 882–889. 41 indexed citations
12.
Ma, Wenhui, Jia Jia, Shengjun Wang, et al.. (2014). The Prognostic Value of 18F-FDG PET/CT for Hepatocellular Carcinoma Treated with Transarterial Chemoembolization (TACE). Theranostics. 4(7). 736–744. 28 indexed citations
13.
Tian, Jie, Ke Rui, & Shengjun Wang. (2014). Roles of miRNAs in regulating the differentiation and maturation of myeloid-derived suppressor cells. Medical Hypotheses. 83(2). 151–153. 5 indexed citations
14.
Wang, Shengjun, et al.. (2013). Correlation between 99mTc-HYNIC-octreotide SPECT/CT somatostatin receptor scintigraphy and pathological grading of meningioma. Journal of Neuro-Oncology. 113(3). 519–526. 13 indexed citations
15.
Wang, Shengjun. (2008). Screening of Bacillus sp. Against Soybean Cyst Nematode(Heterodera glycines). Dadou kexue. 1 indexed citations
16.
Chi, Lingyi, Xuewu Liu, Xiuhe Zhao, et al.. (2008). Familial Cerebral Cavernous Malformation: Features of Clinical Manifestation, Pathology and Imaging in a Chinese Family. Cerebrovascular Diseases. 26(2). 206–208. 4 indexed citations
17.
Jiang, Wenjing, Chi Zhao-fu, Lin Ma, et al.. (2007). Preliminary explorations of the role of mitochondrial proteins in refractory epilepsy: Some Findings From Comparative Proteomics. Journal of Neuroscience Research. 85(14). 3160–3170. 46 indexed citations
18.
Wang, Shengjun, Xin‐Jian Xu, Zhi-Xi Wu, & Ying-Hai Wang. (2006). Effects of degree distribution in mutual synchronization of neural networks. Physical Review E. 74(4). 41915–41915. 14 indexed citations
19.
Wu, Zhi-Xi, Xin‐Jian Xu, Zi‐Gang Huang, Shengjun Wang, & Ying-Hai Wang. (2006). Evolutionary prisoner’s dilemma game with dynamic preferential selection. Physical Review E. 74(2). 21107–21107. 188 indexed citations
20.
Wang, Shengjun, R. Clark Lantz, Evelyn Rider, et al.. (1997). A Free Radical Scavenger (Lazaroid U75412E) Attenuates Tumor Necrosis Factor-Alpha Generation in a Rabbit Model of Smoke-Induced Lung Injury. Respiration. 64(5). 358–363. 12 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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