Wencong Dai

638 total citations
9 papers, 423 citations indexed

About

Wencong Dai is a scholar working on Epidemiology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Wencong Dai has authored 9 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Oncology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Wencong Dai's work include Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Wencong Dai is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Wencong Dai collaborates with scholars based in China and United Kingdom. Wencong Dai's co-authors include Kunyuan Wang, Wenqing Zhang, Xiaohong Chen, Jinlin Hou, Li Liu, Zhenru Zhu, Jingyuan Sun, Hailong Sheng, Peitao Zhou and Wanjun Zhang and has published in prestigious journals such as Frontiers in Immunology, British Journal of Clinical Pharmacology and Journal for ImmunoTherapy of Cancer.

In The Last Decade

Wencong Dai

9 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wencong Dai China 6 142 139 98 94 92 9 423
Kan Toriguchi Japan 10 69 0.5× 137 1.0× 98 1.0× 132 1.4× 49 0.5× 27 374
Yusuke Tsuchimoto Japan 10 62 0.4× 99 0.7× 87 0.9× 153 1.6× 83 0.9× 32 350
Sook In Chung South Korea 11 54 0.4× 198 1.4× 111 1.1× 84 0.9× 24 0.3× 17 377
Minshan Chen China 10 82 0.6× 109 0.8× 205 2.1× 125 1.3× 21 0.2× 37 480
Kiyoshi Nishiyama Japan 10 82 0.6× 76 0.5× 105 1.1× 116 1.2× 121 1.3× 20 374
Ke Ji China 14 91 0.6× 153 1.1× 26 0.3× 22 0.2× 64 0.7× 35 486
Atsuhiko Maki Japan 11 50 0.4× 205 1.5× 129 1.3× 98 1.0× 30 0.3× 30 518
Xiaoqing Jia China 11 125 0.9× 379 2.7× 27 0.3× 98 1.0× 110 1.2× 36 587
Yinglu Guo China 9 38 0.3× 162 1.2× 86 0.9× 90 1.0× 14 0.2× 29 396
Fengwei Li China 13 46 0.3× 280 2.0× 45 0.5× 50 0.5× 55 0.6× 24 514

Countries citing papers authored by Wencong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Wencong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wencong Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Wencong Dai. A scholar is included among the top collaborators of Wencong Dai 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 Wencong Dai. Wencong Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
2.
Yuan, Guosheng, Qi Li, Xiao Hu, et al.. (2021). Development and Validation of a Contrast-Enhanced CT-Based Radiomics Nomogram for Prediction of Therapeutic Efficacy of Anti-PD-1 Antibodies in Advanced HCC Patients. Frontiers in Immunology. 11. 613946–613946. 61 indexed citations
3.
Yuan, Guosheng, Xiao Cheng, Mengya Zang, et al.. (2020). <p>Safety and Efficacy of Camrelizumab Combined with Apatinib for Advanced Hepatocellular Carcinoma with Portal Vein Tumor Thrombus: A Multicenter Retrospective Study</p>. OncoTargets and Therapy. Volume 13. 12683–12693. 30 indexed citations
4.
Chen, Xiaowei, Ying Zhang, Wencong Dai, et al.. (2020). [Effect of ozone oil for prevention and treatment of sorafenib-induced hand-foot skin reactions: a randomized controlled trial].. PubMed. 40(10). 1488–1492. 2 indexed citations
5.
Yuan, Guosheng, Xiao Hu, Qi Li, et al.. (2020). Withdrawn: Effectiveness and safety of toripalimab, camrelizumab and sintilimab in a real‐world cohort of hepatitis B virus associated hepatocellular carcinoma patients. British Journal of Clinical Pharmacology. 86(10). 2102–2102. 1 indexed citations
6.
Sheng, Hailong, Yan Huang, Zhenru Zhu, et al.. (2020). ATR inhibitor AZD6738 enhances the antitumor activity of radiotherapy and immune checkpoint inhibitors by potentiating the tumor immune microenvironment in hepatocellular carcinoma. Journal for ImmunoTherapy of Cancer. 8(1). e000340–e000340. 166 indexed citations
7.
Liu, Li, Wencong Dai, Kunyuan Wang, et al.. (2016). [Establishment of a diet-induced obesity model in zebrafish larvae].. PubMed. 36(1). 20–5. 2 indexed citations
8.
Dai, Wencong, Kunyuan Wang, Xiaohong Chen, et al.. (2015). High fat plus high cholesterol diet lead to hepatic steatosis in zebrafish larvae: a novel model for screening anti-hepatic steatosis drugs. Nutrition & Metabolism. 12(1). 42–42. 78 indexed citations
9.
Dai, Wencong, Xiaohong Chen, Kunyuan Wang, et al.. (2015). Caffeine reduces hepatic lipid accumulation through regulation of lipogenesis and ER stress in zebrafish larvae. Journal of Biomedical Science. 22(1). 105–105. 72 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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