Xiaowei Sun

2.0k total citations
56 papers, 1.4k citations indexed

About

Xiaowei Sun is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Xiaowei Sun has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pulmonary and Respiratory Medicine, 22 papers in Surgery and 16 papers in Oncology. Recurrent topics in Xiaowei Sun's work include Gastric Cancer Management and Outcomes (33 papers), Metastasis and carcinoma case studies (13 papers) and Gastrointestinal Tumor Research and Treatment (10 papers). Xiaowei Sun is often cited by papers focused on Gastric Cancer Management and Outcomes (33 papers), Metastasis and carcinoma case studies (13 papers) and Gastrointestinal Tumor Research and Treatment (10 papers). Xiaowei Sun collaborates with scholars based in China, United States and Hong Kong. Xiaowei Sun's co-authors include Dazhi Xu, Xuechao Liu, Youqing Zhan, Zhiwei Zhou, Jianjun Liu, Pengfei Kong, Yuanfang Li, Yingbo Chen, Haibo Qiu and Yingbo Chen and has published in prestigious journals such as Circulation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Xiaowei Sun

54 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaowei Sun China 23 665 543 528 239 201 56 1.4k
Tomoyuki Matsunaga Japan 23 644 1.0× 638 1.2× 757 1.4× 208 0.9× 212 1.1× 137 1.7k
Kenji Katsumata Japan 18 491 0.7× 618 1.1× 828 1.6× 145 0.6× 196 1.0× 174 1.4k
Inkeun Park South Korea 25 870 1.3× 464 0.9× 665 1.3× 293 1.2× 460 2.3× 107 1.7k
Koji Ikejiri Japan 27 415 0.6× 542 1.0× 596 1.1× 188 0.8× 389 1.9× 103 1.8k
Elliot Newman United States 26 571 0.9× 818 1.5× 723 1.4× 121 0.5× 208 1.0× 91 1.9k
Lee M. Ocuin United States 19 482 0.7× 678 1.2× 931 1.8× 164 0.7× 222 1.1× 119 1.9k
Jingxu Sun China 25 708 1.1× 690 1.3× 1.2k 2.2× 458 1.9× 379 1.9× 58 2.0k
Jun‐Te Hsu Taiwan 29 987 1.5× 961 1.8× 890 1.7× 232 1.0× 325 1.6× 137 2.4k
Teruhisa Sakamoto Japan 18 378 0.6× 362 0.7× 493 0.9× 162 0.7× 166 0.8× 123 1.1k
Tsunehiro Takahashi Japan 21 1.0k 1.5× 990 1.8× 482 0.9× 126 0.5× 185 0.9× 91 1.7k

Countries citing papers authored by Xiaowei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowei Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Sun. A scholar is included among the top collaborators of Xiaowei Sun 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 Xiaowei Sun. Xiaowei Sun 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.
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Yuan, Shuqiang, Run‐Cong Nie, Yingbo Chen, et al.. (2023). Residual circulating tumor DNA after adjuvant chemotherapy effectively predicts recurrence of stage II‐III gastric cancer. Cancer Communications. 43(12). 1312–1325. 13 indexed citations
3.
Liu, Yang, et al.. (2023). Development and validation of a nomogram for predicting pulmonary infections after Intracerebral hemorrhage in elderly people. Journal of Stroke and Cerebrovascular Diseases. 32(12). 107444–107444. 3 indexed citations
4.
Chen, Weiying, Xuefeng Yang, Ying Song, et al.. (2022). Inhibition of miRNA-1-Mediated Inflammation and Autophagy by Astragaloside IV Improves Lipopolysaccharide-Induced Cardiac Dysfunction in Rats. Journal of Inflammation Research. Volume 15. 2617–2629. 13 indexed citations
5.
Liu, Jing, Jianxing Qiu, Ke Wang, et al.. (2021). An investigation on gastric cancer staging using CT structured report. European Journal of Radiology. 136. 109550–109550. 6 indexed citations
6.
Xu, Aman, Xiaowei Sun, Xuhui Zhao, et al.. (2021). Three-year outcomes of the randomized phase III SEIPLUS trial of extensive intraoperative peritoneal lavage for locally advanced gastric cancer. Nature Communications. 12(1). 6598–6598. 6 indexed citations
7.
Tang, Yuhao, Xiaowei Sun, & Li Xu. (2020). A slowly-growing solitary skip lymph nodule of occult gastric cancer above the neck of pancreas: a case report. SHILAP Revista de lepidopterología. 6(1). 135–135.
8.
Chen, Yongming, Zhimin Liu, Yuanxiang Guan, et al.. (2019). The Diagnostic and Prognostic Value of Digital Rectal Examination in Gastric Cancer Patients with Peritoneal Metastasis. Journal of Cancer. 10(6). 1489–1495. 2 indexed citations
9.
Sun, Xiaowei, et al.. (2018). CT-guided drug injection around the nerve root to treat lumbar disc herniation.. PubMed. 31(4(Special)). 1671–1674. 2 indexed citations
10.
11.
Liu, Xuechao, et al.. (2018). A cumulative score based on preoperative fibrinogen and the neutrophil–lymphocyte ratio to predict outcomes in resectable gastric cancer. Cancer Management and Research. Volume 10. 3007–3014. 15 indexed citations
12.
Liu, Xuechao, Jianjun Liu, Dazhi Xu, et al.. (2017). Impact of systemic inflammation on gastric cancer outcomes. PLoS ONE. 12(3). e0174085–e0174085. 17 indexed citations
13.
Nie, Run‐Cong, Shuqiang Yuan, Xiao‐Jiang Chen, et al.. (2017). Endoscopic ultrasonography compared with multidetector computed tomography for the preoperative staging of gastric cancer: a meta-analysis. World Journal of Surgical Oncology. 15(1). 113–113. 36 indexed citations
14.
Liu, Jianjun, Qirong Geng, Zhimin Liu, et al.. (2016). Development and external validation of a prognostic nomogram for gastric cancer using the national cancer registry. Oncotarget. 7(24). 35853–35864. 38 indexed citations
15.
Sun, Xiaowei, Xuechao Liu, Jianjun Liu, et al.. (2016). Preoperative neutrophil-to-lymphocyte ratio plus platelet-to-lymphocyte ratio in predicting survival for patients with stage I–II gastric cancer. Chinese Journal of Cancer. 35(1). 57–57. 53 indexed citations
16.
Qiu, Haibo, Jianjun Liu, Dazhi Xu, et al.. (2016). A Novel Prognostic Score, Based on Preoperative Nutritional Status, Predicts Outcomes of Patients after Curative Resection for Gastric Cancer. Journal of Cancer. 7(14). 2148–2156. 21 indexed citations
17.
Wang, Wei, Sharvesh Raj Seeruttun, Cheng Fang, et al.. (2015). Prognostic Significance of Carcinoembryonic Antigen Staining in Cancer Tissues of Gastric Cancer Patients. Annals of Surgical Oncology. 23(4). 1244–1251. 33 indexed citations
18.
Liu, Xuechao, Xiaowei Sun, Jianjun Liu, et al.. (2015). Preoperative C-Reactive Protein/Albumin Ratio Predicts Prognosis of Patients after Curative Resection for Gastric Cancer. Translational Oncology. 8(4). 339–345. 174 indexed citations
19.
20.
Sun, Xiaowei, Rachid Essalmani, Nabil G. Seidah, & Annik Prat. (2009). The proprotein convertase PC5/6 is protective against intestinal tumorigenesis: in vivo mouse model. Molecular Cancer. 8(1). 73–73. 23 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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