Ye Shu

821 citations
26 papers · 627 · h-index 11

Impact in

Papers in

Ye Shu

23 papers receiving 614 citations

Peers

Ye Shu
Comparison fields: 5 of 78
  • Oncology 270
  • Pathology and Forensic Medicine 91
  • Immunology 98
  • Surgery 168
  • Cancer Research 42
Replace Rikhia Chakraborty with:
Rikhia Chakraborty United States
Michaela Andratschke Germany
Jenny L. C. Geh United Kingdom
Kenta Kikuchi Japan
Isabel Fernández Spain
Paul G. Pavicic United States
Toshitsugu Nakamura Japan
Vivienne McConnell United Kingdom
Anthea Peters Canada
P Grigolato Italy
Ye Shu relative to Rikhia Chakraborty United States Rikhia Chakraborty's profile →
Citations per field
00.5×
Rikhia Chakraborty · 1×
Citations per year

Countries citing papers authored by Ye Shu

Since Specialization
Citations

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

Fields of papers citing papers by Ye Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ye Shu, 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 Ye Shu Line = papers co-authored together Ye Shu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004239
2 201467
3 201462
4 201642
5 200337
6 199435
7 201531
8 201629
9 202318
10 201415
11 200910
12 20239
13 20148
14 20237
15 20235
16
Comparing of results of two dimensional, quasi three dimensional and three dimensional models for groundwater
20032
17
[Laparoscopic total mesorectal excision for low or ultralow anterior resection of rectal cancer with anal sphincter preservation].
20022
18
[Laparoscopic transhiatal extended gastrectomy for type II, III esophagogastric junction cancer: a preliminary report of 55 cases].
20102
19 20102
20 19942

About Ye Shu

Ye Shu is a scholar working on Surgery, Molecular Biology, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 26 papers that have together received 627 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (4 papers), Orthopedic Infections and Treatments (3 papers), Systemic Sclerosis and Related Diseases (3 papers), Immune Cell Function and Interaction (2 papers), MicroRNA in disease regulation (2 papers), Geological Modeling and Analysis (1 paper), Ferroptosis and cancer prognosis (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Oncology (270 citations), Pathology and Forensic Medicine (91 citations), Immunology (98 citations), Surgery (168 citations) and Cancer Research (42 citations). Ye Shu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zong‐Guang Zhou, Zhigang Cheng, Wenhua Lei, L. Li, Y. Li, Rong Xiao, Qianjin Lu, Philip J. Scarpace, Ming Zhao and Takuro Kanekura. Their work appears in journals such as Journal of Orthopaedic Research®, Journal of Cardiovascular Pharmacology, Surgical Endoscopy, Atherosclerosis and Clinical Epigenetics.

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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