Shengbin Dai

632 total citations
28 papers, 490 citations indexed

About

Shengbin Dai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Shengbin Dai has authored 28 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Shengbin Dai's work include Lung Cancer Diagnosis and Treatment (6 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (5 papers). Shengbin Dai is often cited by papers focused on Lung Cancer Diagnosis and Treatment (6 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (5 papers). Shengbin Dai collaborates with scholars based in China and Taiwan. Shengbin Dai's co-authors include Xinchen Sun, Hongcheng Zhu, Xi Yang, Jing Cai, Liping Xu, Hongyan Cheng, Junxing Huang, Guangzhou Tao, Qing Guo and Gaohua Han and has published in prestigious journals such as PLoS ONE, Medicine and Journal of Hematology & Oncology.

In The Last Decade

Shengbin Dai

26 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengbin Dai China 12 291 118 96 91 77 28 490
Meihua Luo China 11 334 1.1× 96 0.8× 132 1.4× 53 0.6× 59 0.8× 27 527
Khurum Khan United Kingdom 10 289 1.0× 128 1.1× 226 2.4× 82 0.9× 49 0.6× 28 567
Qiong Zhou China 13 206 0.7× 119 1.0× 202 2.1× 74 0.8× 43 0.6× 30 503
Xiaogang Sun China 10 180 0.6× 95 0.8× 112 1.2× 46 0.5× 37 0.5× 14 376
Tengxiang Chen China 12 294 1.0× 181 1.5× 70 0.7× 76 0.8× 43 0.6× 48 516
Junhui Yu China 12 533 1.8× 127 1.1× 98 1.0× 136 1.5× 52 0.7× 25 685
Yipeng Xu China 12 159 0.5× 55 0.5× 71 0.7× 65 0.7× 33 0.4× 32 348
Xin Pan China 12 215 0.7× 64 0.5× 41 0.4× 53 0.6× 37 0.5× 32 463
Hengzi Sun China 12 181 0.6× 101 0.9× 52 0.5× 57 0.6× 35 0.5× 22 343

Countries citing papers authored by Shengbin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shengbin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengbin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shengbin Dai. A scholar is included among the top collaborators of Shengbin 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 Shengbin Dai. Shengbin Dai 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.
2.
Ni, Qingtao, Pan Chi, Peng Wang, et al.. (2022). A Case of Iodine 125 Seeds (I-125) Responding to Lung Squamous Cell Carcinoma. Dose-Response. 20(2). 1495853325–1495853325. 1 indexed citations
3.
Ni, Qingtao, et al.. (2021). The Treatment for a Patient with Cancer of Unknown Primary: A Case Report. Dose-Response. 19(4). 1485806137–1485806137.
4.
Zhang, Wei, Feng Shen, Xi Yang, et al.. (2021). YTH Domain Proteins: A Family of m6A Readers in Cancer Progression. Frontiers in Oncology. 11. 629560–629560. 55 indexed citations
5.
Wang, Peng, Yang Song, Shengbin Dai, et al.. (2021). Expression and Clinical Value of LncRNA GAPLINC in Esophageal Squamous Cell Carcinoma. OncoTargets and Therapy. Volume 14. 4039–4045. 3 indexed citations
6.
Wang, Peng, Hai‐Hua Zhou, Gaohua Han, et al.. (2021). Assessment of the value of adjuvant radiotherapy for treatment of gastric adenocarcinoma based on pattern of post-surgical progression. World Journal of Surgical Oncology. 19(1). 205–205. 4 indexed citations
7.
Ni, Qingtao, et al.. (2020). <p>Success of <sup>125</sup>I-Seed Treatment in Vulvar Squamous-Cell Carcinoma with Aplastic Anemia: A Case Report</p>. OncoTargets and Therapy. Volume 13. 12561–12566. 1 indexed citations
8.
Ni, Qingtao, Pan Chi, Shengbin Dai, & Peng Wang. (2020). <p>Immunotherapy Combined with Chemotherapy as a Promising Therapy for a EGFR Exon 19 Deletion with MET Amplification Patient with Non-Small-Cell Lung Cancer: A Case Report</p>. OncoTargets and Therapy. Volume 13. 3039–3044. 1 indexed citations
9.
Liu, Huilan, et al.. (2018). Risk factors for radiation esophagitis and pneumonitis in esophageal cancer patients with diabetes or hypertension. Zhonghua fangshe yixue yu fanghu zazhi. 38(8). 584–589. 1 indexed citations
10.
Luo, Yijun, Xiaoli Wang, Gaohua Han, et al.. (2018). Dose-escalated radiotherapy improved survival for esophageal cancer patients with a clinical complete response after standard-dose radiotherapy with concurrent chemotherapy. Cancer Management and Research. Volume 10. 2675–2682. 15 indexed citations
11.
Han, Gaohua, et al.. (2018). Association of serum annexin A1 with treatment response and prognosis in patients with esophageal squamous cell carcinoma. Journal of Cancer Research and Therapeutics. 14(10). 667–667. 11 indexed citations
12.
13.
Guo, Qing, Jia He, Feng Shen, et al.. (2016). TCN, an AKT inhibitor, exhibits potent antitumor activity and enhances radiosensitivity in hypoxic esophageal squamous cell carcinoma in vitro and in vivo. Oncology Letters. 13(2). 949–954. 5 indexed citations
14.
Han, Gaohua, et al.. (2016). Effect of Annexin A1 gene on the proliferation and invasion of esophageal squamous cell carcinoma cells and its regulatory mechanisms. International Journal of Molecular Medicine. 39(2). 357–363. 21 indexed citations
15.
Zhan, Linsheng, Qun Qin, Jing Lü, et al.. (2015). Novel poly (ADP-ribose) polymerase inhibitor, AZD2281, enhances radiosensitivity of both normoxic and hypoxic esophageal squamous cancer cells. Diseases of the Esophagus. 29(3). 215–223. 17 indexed citations
16.
Yang, Yan, Xiangdong Sun, Xi Yang, et al.. (2015). Gambogic acid enhances the radiosensitivity of human esophageal cancer cells by inducing reactive oxygen species via targeting Akt/mTOR pathway. Tumor Biology. 37(2). 1853–1862. 29 indexed citations
17.
Guo, Qing, Shengbin Dai, Feng Shen, et al.. (2014). VEGF +405G/C (rs2010963) polymorphisms and digestive system cancer risk: a meta-analysis. Tumor Biology. 35(5). 4977–4982. 7 indexed citations
18.
Zhang, Chi, Xi Yang, Qu Zhang, et al.. (2014). STAT3 inhibitor NSC74859 radiosensitizes esophageal cancer via the downregulation of HIF-1α. Tumor Biology. 35(10). 9793–9799. 29 indexed citations
19.
Zhang, Qu, Chi Zhang, Xi Yang, et al.. (2014). Berberine inhibits the expression of hypoxia induction factor-1alpha and increases the radiosensitivity of prostate cancer. Diagnostic Pathology. 9(1). 98–98. 53 indexed citations
20.
Qin, Qin, Yun Zuo, Xi Yang, et al.. (2013). Smac mimetic compound LCL161 sensitizes esophageal carcinoma cells to radiotherapy by inhibiting the expression of inhibitor of apoptosis protein. Tumor Biology. 35(3). 2565–2574. 37 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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