Xing-Zhao Ye

765 total citations · 1 hit paper
9 papers, 577 citations indexed

About

Xing-Zhao Ye is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xing-Zhao Ye has authored 9 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xing-Zhao Ye's work include Enhanced Recovery After Surgery (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Nutrition and Health in Aging (3 papers). Xing-Zhao Ye is often cited by papers focused on Enhanced Recovery After Surgery (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Nutrition and Health in Aging (3 papers). Xing-Zhao Ye collaborates with scholars based in China, Sweden and Germany. Xing-Zhao Ye's co-authors include Zhentao Yu, Cheng‐Le Zhuang, Bicheng Chen, Xiaodong Zhang, Qiantong Dong, Bicheng Chen, Jian Guo, Shanjun Tan, Ning Li and Xiaodong Zhang and has published in prestigious journals such as Medicine, Diseases of the Colon & Rectum and Scandinavian Journal of Gastroenterology.

In The Last Decade

Xing-Zhao Ye

9 papers receiving 565 citations

Hit Papers

Enhanced Recovery After Surgery Programs Versus Tradition... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing-Zhao Ye China 7 473 331 187 140 78 9 577
Ali Mahmood United States 9 328 0.7× 179 0.5× 124 0.7× 38 0.3× 65 0.8× 36 440
Emmanuel A. Andreadis Greece 14 148 0.3× 360 1.1× 51 0.3× 41 0.3× 26 0.3× 45 540
Shahid H. Sial United States 8 122 0.3× 48 0.1× 93 0.5× 132 0.9× 64 0.8× 14 411
Benjamin Lechner Germany 10 158 0.3× 169 0.5× 12 0.1× 94 0.7× 30 0.4× 19 571
P Kirstetter France 12 214 0.5× 46 0.1× 92 0.5× 89 0.6× 82 1.1× 22 515
Aydın Akyüz Türkiye 10 69 0.1× 125 0.4× 34 0.2× 43 0.3× 38 0.5× 39 271
M.A. Valero Spain 6 100 0.2× 53 0.2× 74 0.4× 81 0.6× 35 0.4× 11 466
Teruhiko Itoh Japan 5 166 0.4× 385 1.2× 14 0.1× 59 0.4× 57 0.7× 6 599
Huanan Chen China 8 59 0.1× 87 0.3× 25 0.1× 68 0.5× 25 0.3× 19 332
Federico Serrot United States 12 399 0.8× 72 0.2× 23 0.1× 275 2.0× 51 0.7× 18 604

Countries citing papers authored by Xing-Zhao Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xing-Zhao Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xing-Zhao Ye. 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 Xing-Zhao Ye. The network helps show where Xing-Zhao Ye may publish in the future.

Co-authorship network of co-authors of Xing-Zhao Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Xing-Zhao Ye. A scholar is included among the top collaborators of Xing-Zhao Ye 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 Xing-Zhao Ye. Xing-Zhao Ye 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.
Yan, Xialin, Xing-Zhao Ye, Xiangwei Sun, et al.. (2024). Development and validation of a novel prognostic prediction system based on GLIM-defined malnutrition for colorectal cancer patients post-radical surgery. Frontiers in Nutrition. 11. 1425317–1425317. 1 indexed citations
2.
Jiang, Feizhao, et al.. (2019). Biodegradable anastomotic tube prepared from diblock copolymers of mPEG-b-PLA and mPEG-b-PLGA. Journal of Macromolecular Science Part A. 56(7). 667–675. 1 indexed citations
3.
Ye, Xing-Zhao, Xiyi Chen, Xiaojiao Ruan, et al.. (2019). Laparoscopic-assisted colorectal surgery benefits visceral obesity patients: a propensity-matched analysis. European Journal of Gastroenterology & Hepatology. 31(7). 786–791. 6 indexed citations
4.
Zuo, Zhigui, Xiufeng Zhang, Hao Wang, et al.. (2016). Prognostic Value of Lymph Node Ratio in Locally Advanced Rectal Cancer Patients After Preoperative Chemoradiotherapy Followed by Total Mesorectal Excision. Medicine. 95(9). e2988–e2988. 20 indexed citations
5.
Zhuang, Cheng‐Le, Xing-Zhao Ye, Xiaodong Zhang, Bicheng Chen, & Zhentao Yu. (2013). Enhanced Recovery After Surgery Programs Versus Traditional Care for Colorectal Surgery. Diseases of the Colon & Rectum. 56(5). 667–678. 349 indexed citations breakdown →
6.
7.
Yu, Zhentao, et al.. (2013). Fast-track surgery in gastrectomy for gastric cancer: a systematic review and meta-analysis. Langenbeck s Archives of Surgery. 399(1). 85–92. 30 indexed citations
8.
Tan, Shanjun, Feng Zhou, Ning Li, et al.. (2013). Anti-fatigue Effect of Ginsenoside Rb1 on Postoperative Fatigue Syndrome Induced by Major Small Intestinal Resection in Rat. Biological and Pharmaceutical Bulletin. 36(10). 1634–1639. 59 indexed citations
9.
Zhang, Xiaodong, Bicheng Chen, Qiantong Dong, et al.. (2011). Establishment and assessments of a new model for the postoperative fatigue syndrome by major small intestinal resection in rats. Scandinavian Journal of Gastroenterology. 46(11). 1302–1309. 8 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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