Renduo Shang

532 total citations
9 papers, 209 citations indexed

About

Renduo Shang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Renduo Shang has authored 9 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Surgery and 4 papers in Oncology. Recurrent topics in Renduo Shang's work include Gastric Cancer Management and Outcomes (5 papers), Colorectal Cancer Screening and Detection (4 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Renduo Shang is often cited by papers focused on Gastric Cancer Management and Outcomes (5 papers), Colorectal Cancer Screening and Detection (4 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Renduo Shang collaborates with scholars based in China. Renduo Shang's co-authors include Honggang Yu, Jing Wang, Qing Li, Wei Wu, Lianlian Wu, Dexin Gong, Honggang Yu, Liwen Yao, Zehua Dong and Yijie Zhu and has published in prestigious journals such as Gastrointestinal Endoscopy, Endoscopy and Journal of Experimental & Clinical Cancer Research.

In The Last Decade

Renduo Shang

8 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renduo Shang China 6 83 79 70 63 26 9 209
Lindsay C. Hewitt United Kingdom 9 56 0.7× 130 1.6× 124 1.8× 97 1.5× 52 2.0× 15 256
Yanmei Gu China 6 49 0.6× 67 0.8× 125 1.8× 29 0.5× 30 1.2× 19 223
Yuki Sekido Japan 10 47 0.6× 31 0.4× 108 1.5× 80 1.3× 22 0.8× 46 269
Miki Scaravaglio Italy 4 47 0.6× 63 0.8× 68 1.0× 95 1.5× 31 1.2× 11 181
Sujath Abbas United Kingdom 4 71 0.9× 79 1.0× 66 0.9× 112 1.8× 70 2.7× 4 218
Alessandro Cavaliere Italy 9 90 1.1× 57 0.7× 148 2.1× 57 0.9× 82 3.2× 12 251
Yikai Xu China 4 38 0.5× 83 1.1× 53 0.8× 28 0.4× 19 0.7× 6 217
Juliane Perner United Kingdom 9 142 1.7× 84 1.1× 72 1.0× 91 1.4× 73 2.8× 12 282
N A Oleynikova Russia 6 23 0.3× 44 0.6× 91 1.3× 36 0.6× 19 0.7× 28 131
Mohamad Dbouk United States 11 93 1.1× 106 1.3× 200 2.9× 198 3.1× 93 3.6× 30 388

Countries citing papers authored by Renduo Shang

Since Specialization
Citations

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

Fields of papers citing papers by Renduo Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renduo Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Renduo Shang. A scholar is included among the top collaborators of Renduo Shang 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 Renduo Shang. Renduo Shang 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.
Xiao, Tao, Yijie Zhu, Zehua Dong, et al.. (2024). An artificial intelligence system for chronic atrophic gastritis diagnosis and risk stratification under white light endoscopy. Digestive and Liver Disease. 56(8). 1319–1326. 5 indexed citations
2.
Zhang, Lihui, Zihua Lu, Liwen Yao, et al.. (2023). Effect of a deep learning–based automatic upper GI endoscopic reporting system: a randomized crossover study (with video). Gastrointestinal Endoscopy. 98(2). 181–190.e10. 19 indexed citations
3.
Zhang, Mengjiao, Jie Pan, Ming Xu, et al.. (2023). An explainable artificial intelligence system for diagnosing Helicobacter Pylori infection under endoscopy: a case–control study. Therapeutic Advances in Gastroenterology. 16. 1108337999–1108337999. 9 indexed citations
5.
Wu, Lianlian, Jing Wang, Xinqi He, et al.. (2021). Deep learning system compared with expert endoscopists in predicting early gastric cancer and its invasion depth and differentiation status (with videos). Gastrointestinal Endoscopy. 95(1). 92–104.e3. 51 indexed citations
6.
Li, Qing, Wei Wu, Dexin Gong, et al.. (2021). Propionibacterium acnes overabundance in gastric cancer promote M2 polarization of macrophages via a TLR4/PI3K/Akt signaling. Gastric Cancer. 24(6). 1242–1253. 53 indexed citations
7.
Huang, Li, Jun Liu, Lianlian Wu, et al.. (2021). Impact of Computer-Assisted System on the Learning Curve and Quality in Esophagogastroduodenoscopy: Randomized Controlled Trial. Frontiers in Medicine. 8. 781256–781256. 4 indexed citations
8.
Zhang, Lihui, Liwen Yao, Wei Zhou, et al.. (2021). miR-497 defect contributes to gastric cancer tumorigenesis and progression via regulating CDC42/ITGB1/FAK/PXN/AKT signaling. Molecular Therapy — Nucleic Acids. 25. 567–577. 17 indexed citations
9.
Yang, Dongmei, Qing Li, Renduo Shang, et al.. (2020). WNT4 secreted by tumor tissues promotes tumor progression in colorectal cancer by activation of the Wnt/β-catenin signalling pathway. Journal of Experimental & Clinical Cancer Research. 39(1). 251–251. 51 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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