Weishen Wang

1.0k total citations
37 papers, 653 citations indexed

About

Weishen Wang is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Weishen Wang has authored 37 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 20 papers in Surgery and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Weishen Wang's work include Pancreatic and Hepatic Oncology Research (28 papers), Pancreatitis Pathology and Treatment (12 papers) and Gallbladder and Bile Duct Disorders (9 papers). Weishen Wang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (28 papers), Pancreatitis Pathology and Treatment (12 papers) and Gallbladder and Bile Duct Disorders (9 papers). Weishen Wang collaborates with scholars based in China, Canada and United States. Weishen Wang's co-authors include Baiyong Shen, Chenghong Peng, Zhen Huo, Xiaxing Deng, Dongfeng Cheng, Yuanchi Weng, Xinjing Wang, Qian Zhan, Hao Chen and Hongzhe Li and has published in prestigious journals such as Annals of Surgery, Molecular Cancer and Clinica Chimica Acta.

In The Last Decade

Weishen Wang

33 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weishen Wang China 13 360 250 219 216 195 37 653
Lijie Tan China 15 134 0.4× 249 1.0× 139 0.6× 324 1.5× 203 1.0× 62 781
Eiji Tamoto Japan 13 219 0.6× 258 1.0× 86 0.4× 213 1.0× 168 0.9× 27 540
Guorui Sun China 13 89 0.2× 129 0.5× 113 0.5× 75 0.3× 164 0.8× 29 453
Xiangji Luo China 12 178 0.5× 215 0.9× 146 0.7× 109 0.5× 163 0.8× 26 877
Changqing Jing China 14 136 0.4× 119 0.5× 378 1.7× 128 0.6× 484 2.5× 56 794
Jiangping Gao China 14 114 0.3× 67 0.3× 177 0.8× 193 0.9× 286 1.5× 40 614
T Todoroki Japan 17 391 1.1× 586 2.3× 59 0.3× 369 1.7× 145 0.7× 42 825
Masayuki Watanabe Japan 13 116 0.3× 207 0.8× 28 0.1× 126 0.6× 131 0.7× 40 584
Aoife J McCarthy Canada 11 144 0.4× 85 0.3× 108 0.5× 113 0.5× 64 0.3× 28 429
Zhengshi Wang China 15 258 0.7× 75 0.3× 148 0.7× 109 0.5× 251 1.3× 48 697

Countries citing papers authored by Weishen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weishen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weishen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weishen Wang. A scholar is included among the top collaborators of Weishen 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 Weishen Wang. Weishen 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, Haoda, Chao Wang, Yiran Zhou, et al.. (2025). Early prediction of post-pancreatectomy acute pancreatitis after pancreaticoduodenectomy based on serum C-reactive protein. Pancreatology. 25(2). 208–213.
2.
Chen, Haoda, Weishen Wang, Hongzhe Li, et al.. (2024). Characterization of Pancreatic Fistula After Post-pancreatectomy Acute Pancreatitis. Annals of Surgery. 282(6). 1045–1051. 4 indexed citations
3.
4.
Wang, Weishen, et al.. (2023). A dual-transformation with contrastive learning framework for lymph node metastasis prediction in pancreatic cancer. Medical Image Analysis. 85. 102753–102753. 12 indexed citations
5.
Wang, Weishen, Siwen Wang, Xin‐Yun Huang, et al.. (2023). The value of 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance whole-body scans and local enhancement scans in the preoperative staging and resectability assessment of pancreatic adenocarcinoma. Quantitative Imaging in Medicine and Surgery. 13(3). 1768–1778. 2 indexed citations
6.
Chen, Haoda, Yuanchi Weng, Shulin Zhao, et al.. (2023). Robotic versus open pancreatoduodenectomy in patients with pancreatic duct adenocarcinoma after the learning curve: a propensity score-matched analysis. Surgical Endoscopy. 38(2). 821–829. 6 indexed citations
7.
Chen, Haoda, Jingyu Zhong, Chao Wang, et al.. (2023). Enhancement pattern of the pancreatic parenchyma predicts postpancreatectomy acute pancreatitis after pancreaticoduodenectomy. European Radiology. 34(1). 6–15. 4 indexed citations
8.
9.
Chen, Haoda, Weishen Wang, Siyi Zou, et al.. (2022). Serum lipase on postoperative day one is a strong predictor of clinically relevant pancreatic fistula after pancreaticoduodenectomy: A retrospective cohort. Pancreatology. 22(6). 810–816. 9 indexed citations
10.
Chen, Haoda, Weishen Wang, Yuanchi Weng, et al.. (2022). Postpancreatectomy Acute Pancreatitis After Pancreaticoduodenectomy. Annals of Surgery. 278(2). e278–e283. 17 indexed citations
11.
Shen, Ziyun, Haoda Chen, Weishen Wang, et al.. (2022). Machine learning algorithms as early diagnostic tools for pancreatic fistula following pancreaticoduodenectomy and guide drain removal: A retrospective cohort study. International Journal of Surgery. 102. 106638–106638. 17 indexed citations
12.
Shen, Ziyun, Haoda Chen, Shiwei Zhao, et al.. (2022). The Impact of Additional Para-aortic Dissection During Pancreaticoduodenectomy for Resectable Pancreatic Cancer. Annals of Surgical Oncology. 30(3). 1474–1482. 3 indexed citations
13.
14.
Wang, Weishen, Dongfeng Cheng, Jiancheng Wang, et al.. (2021). Original study: The rescue staging for pancreatic ductal adenocarcinoma with inadequate examined lymph nodes. Pancreatology. 21(4). 724–730. 3 indexed citations
15.
Wang, Weishen, Ziyun Shen, Jun Zhang, et al.. (2021). A Novel Criterion for Lymph Nodes Dissection in Distal Pancreatectomy for Ductal Adenocarcinoma: A Population Study of the US SEER Database. Annals of Surgical Oncology. 29(3). 1533–1539. 5 indexed citations
16.
Hao, Qian, Hongzhe Li, Junjie Xie, et al.. (2021). Immunity-Related Gene Signature Identifies Subtypes Benefitting From Adjuvant Chemotherapy or Potentially Responding to PD1/PD-L1 Blockage in Pancreatic Cancer. Frontiers in Cell and Developmental Biology. 9. 682261–682261. 5 indexed citations
17.
Zou, Siyi, et al.. (2020). Novel scoring system for recurrence risk classification of surgically resected G1/2 pancreatic neuroendocrine tumors - Retrospective cohort study. International Journal of Surgery. 74. 86–91. 11 indexed citations
18.
Chen, Haoda, Weishen Wang, Xiayang Ying, et al.. (2019). Predictive factors for postoperative pancreatitis after pancreaticoduodenectomy: A single-center retrospective analysis of 1465 patients. Pancreatology. 20(2). 211–216. 32 indexed citations
19.
Li, Hongzhe, Xinjing Wang, Chenlei Wen, et al.. (2017). Long noncoding RNA NORAD, a novel competing endogenous RNA, enhances the hypoxia-induced epithelial-mesenchymal transition to promote metastasis in pancreatic cancer. Molecular Cancer. 16(1). 169–169. 192 indexed citations
20.
Wang, Weishen, Baiyong Shen, Xiaxing Deng, et al.. (2014). Risk factors of pancreatic fistula after pancreaticoduodenectomy. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 13(7). 531–534.

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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