Shunda Wang

551 total citations
24 papers, 408 citations indexed

About

Shunda Wang is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shunda Wang has authored 24 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shunda Wang's work include Pancreatic and Hepatic Oncology Research (9 papers), Glycosylation and Glycoproteins Research (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). Shunda Wang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (9 papers), Glycosylation and Glycoproteins Research (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). Shunda Wang collaborates with scholars based in China, United States and Germany. Shunda Wang's co-authors include Menghua Dai, Yupei Zhao, Lei You, Xing Cheng, Cheng Ding, Yatong Li, Lixin Chen, Jinshou Yang, Xueting Zhang and Yingying Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Current Medicinal Chemistry and World Journal of Surgery.

In The Last Decade

Shunda Wang

22 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shunda Wang China 13 180 171 97 79 60 24 408
Lei Cheng China 13 216 1.2× 173 1.0× 121 1.2× 89 1.1× 102 1.7× 39 526
Premila D. Leiphrakpam United States 12 131 0.7× 210 1.2× 81 0.8× 83 1.1× 58 1.0× 25 445
Andreas Giannakou United States 12 145 0.8× 200 1.2× 65 0.7× 60 0.8× 137 2.3× 25 533
Tarannum Ferdous Japan 12 171 0.9× 150 0.9× 70 0.7× 116 1.5× 67 1.1× 34 385
Liang Zhuang China 12 144 0.8× 188 1.1× 93 1.0× 55 0.7× 40 0.7× 28 398
Stephanie Annett Ireland 12 169 0.9× 252 1.5× 98 1.0× 48 0.6× 35 0.6× 16 495
Yue‐Can Zeng China 14 182 1.0× 192 1.1× 78 0.8× 62 0.8× 26 0.4× 29 460
Roland Eid Lebanon 11 242 1.3× 192 1.1× 81 0.8× 154 1.9× 51 0.8× 30 479
Helen Chin-Sinex United States 13 160 0.9× 342 2.0× 153 1.6× 54 0.7× 41 0.7× 26 544

Countries citing papers authored by Shunda Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shunda Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunda Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shunda Wang. A scholar is included among the top collaborators of Shunda 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 Shunda Wang. Shunda 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.
Wang, Shunda, et al.. (2025). Prognostic and clinicopathological significance of mucin family members expression in gastric cancer: a meta-analysis. Frontiers in Oncology. 14. 1512971–1512971.
2.
Wang, Shunda, Zhihua Ren, Yufei Zhang, et al.. (2025). Diagnostic Value of Glycosylated Extracellular Vesicle microRNAs in Gastric Cancer. Cancer Management and Research. Volume 17. 145–160.
3.
4.
Wang, Shunda, et al.. (2023). Effect of miR-499-5p/SOX6 axis on atrial fibrosis in rats with atrial fibrillation. Open Medicine. 18(1). 20230654–20230654. 6 indexed citations
5.
Wang, Shunda, et al.. (2022). miR-29b ameliorates atrial fibrosis in rats with atrial fibrillation by targeting TGFβRΙ and inhibiting the activation of Smad-2/3 pathway. Journal of Bioenergetics and Biomembranes. 54(2). 81–91. 17 indexed citations
6.
Wang, Shunda, et al.. (2022). HDAC3 Impairs Cardiac Function in Chronic Heart Failure Rats viaMediating MicroRNA-26b-3p to Target High Mobility GroupAT-Hook 2. Current Medicinal Chemistry. 30(22). 2577–2589. 1 indexed citations
7.
Li, Yatong, et al.. (2021). CD44+ Circulating Tumor Endothelial Cells Indicate Poor Prognosis in Pancreatic Ductal Adenocarcinoma After Radical Surgery: A Pilot Study. Cancer Management and Research. Volume 13. 4417–4431. 13 indexed citations
8.
9.
Ding, Cheng, Yatong Li, Shunda Wang, et al.. (2021). ROBO2 hampers malignant biological behavior and predicts a better prognosis in pancreatic adenocarcinoma. Scandinavian Journal of Gastroenterology. 56(8). 955–964. 5 indexed citations
10.
Wang, Shunda, Menghua Dai, & Yu-pei Zhao. (2020). Primary pancreatic cystadenocarcinoma with ovarian metastases in a 38-year-old female: case report. Translational Cancer Research. 9(12). 7652–7656. 2 indexed citations
11.
Wang, Shunda, Liang Zhu, Huanwen Wu, Menghua Dai, & Yupei Zhao. (2020). Pancreatic cancer with ovarian metastases: A case report and review of the literature. World Journal of Clinical Cases. 8(21). 5380–5388. 5 indexed citations
12.
Wang, Shunda, Jinshou Yang, Cheng Ding, et al.. (2020). Glutathione S-Transferase Mu-3 Predicts a Better Prognosis and Inhibits Malignant Behavior and Glycolysis in Pancreatic Cancer. Frontiers in Oncology. 10. 1539–1539. 13 indexed citations
13.
Wang, Shunda, Jinshou Yang, Lei You, Menghua Dai, & Yupei Zhao. (2020). <p>GSTM3 Function and Polymorphism in Cancer: Emerging but Promising</p>. Cancer Management and Research. Volume 12. 10377–10388. 26 indexed citations
14.
Wang, Shunda, Lei You, Menghua Dai, & Yupei Zhao. (2020). Mucins in pancreatic cancer: A well‐established but promising family for diagnosis, prognosis and therapy. Journal of Cellular and Molecular Medicine. 24(18). 10279–10289. 66 indexed citations
15.
Fu, Yingying, Shunda Wang, & Qianwei Cui. (2020). Mechanism of Atorvastatin in Improving Cardiac Function in a Rat Model of Myocardial Infarction. Indian Journal of Pharmaceutical Sciences. 82. 3 indexed citations
16.
Wang, Shunda & Menghua Dai. (2020). Status and situation of postgraduate medical students in China under the influence of COVID-19. Postgraduate Medical Journal. 96(1142). 728–730. 23 indexed citations
17.
Wang, Shunda, Junjie Li, Lei You, Menghua Dai, & Yupei Zhao. (2020). High Expression of MUC15 Is Correlated with Poor Prognosis of Pancreatic Cancer and Promotes Migration, Invasion, and Chemo-Resistance In Vitro. Medical Science Monitor. 26. e926432–e926432. 6 indexed citations
18.
Dai, Menghua, Xing Cheng, Ning Shi, et al.. (2020). Risk factors for new-onset diabetes mellitus after distal pancreatectomy. BMJ Open Diabetes Research & Care. 8(2). e001778–e001778. 20 indexed citations
19.
Dai, Menghua, Qiaofei Liu, Xing Cheng, et al.. (2020). Early drain removal after major pancreatectomy reduces postoperative complications: a single-center, randomized, controlled trial. SHILAP Revista de lepidopterología. 3(2). 93–100. 16 indexed citations
20.
Wang, Shunda, Yatong Li, Xing Cheng, et al.. (2020). Tumor microenvironment in chemoresistance, metastasis and immunotherapy of pancreatic cancer.. PubMed. 10(7). 1937–1953. 88 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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