Xiaoying Si

532 citations
19 papers · 378 · h-index 14

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Pancreatic and Hepatic Oncology Research
    • Vascular Tumors and Angiosarcomas

Papers in

    • Pancreatic and Hepatic Oncology Research 10
    • Vascular Tumors and Angiosarcomas 1
    • Nausea and vomiting management 1

Xiaoying Si

19 papers receiving 375 citations

Peers

Xiaoying Si
Comparison fields: 5 of 36
  • Hepatology 57
  • Oncology 191
  • Gastroenterology 26
  • Surgery 91
  • Cancer Research 23
Replace Andrea Tufo with:
Andrea Tufo Italy
Satoshi Hatano Japan
Qinglong Jiang China
Hisashi Kosaka Japan
Stephanie H. Y. Lau Hong Kong
Francesca Pucci Italy
Vikas Ostwal India
Suzanne Darby United Kingdom
Lauren M. Postlewait United States
Charis Kyriakides United Kingdom
Xiaoying Si relative to Andrea Tufo Italy Andrea Tufo's profile →
Citations per field
00.5×3.7×
Andrea Tufo · 1×
Citations per year

Countries citing papers authored by Xiaoying Si

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoying Si, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoying Si Line = papers co-authored together Xiaoying Si links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201138
2 201638
3 201634
4 201726
5 201824
6 201923
7 201422
8 201921
9 201819
10 201618
11 201718
12 201717
13 201815
14 201815
15 201713
16 201712
17 201810
18 201810
19 20225

About Xiaoying Si

Xiaoying Si is a scholar working on Oncology, Surgery, Hepatology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 19 papers that have together received 378 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Gastrointestinal Tumor Research and Treatment (2 papers), Gastric Cancer Management and Outcomes (2 papers), Chemical and Physical Properties in Aqueous Solutions (1 paper), Vascular Tumors and Angiosarcomas (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Nausea and vomiting management (1 paper). The work is most often cited by research in Hepatology (57 citations), Oncology (191 citations), Gastroenterology (26 citations), Surgery (91 citations) and Cancer Research (23 citations). Xiaoying Si has collaborated with scholars based in China. Frequent co-authors include Yanming Zhou, Lupeng Wu, Tao Wan, Debang Li, Shijie Wang, Min Zhao, Feng Ye, Tianwei Zhang, Bin Hu and Zhiming Zhang. Their work appears in journals such as Pancreatology, HPB, Oncotarget, BMC Gastroenterology and World Journal of Surgical Oncology.

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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