Wei Ye

3.7k citations
111 papers · 2.8k indexed · h-index 29

Wei Ye

103 papers receiving 2.8k citations

Peers

Wei Ye
Comparison fields: 5 of 133
  • Cell Biology 542
  • Pathology and Forensic Medicine 560
  • Cancer Research 390
  • Molecular Biology 1.2k
  • Hepatology 128
Replace Satoshi Matsuda with:
Satoshi Matsuda Japan
Long Pang China
Ramesh K. Ganju United States
Paul Shapiro United States
Stéphane Garcia France
Xia Ding China
Sushil G. Rane United States
Shoichi Iseki Japan
Hsin‐Fang Yang‐Yen Taiwan
Yoh Matsumoto Japan
Wei Ye relative to Satoshi Matsuda Japan Satoshi Matsuda's profile →
Citations per field
00.5×2.6×
Satoshi Matsuda · 1×
Citations per year

Countries citing papers authored by Wei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20244
3 202414
4 202416
5 202315
6 202222
7 20205
8 201555
9 201431
10 2011127
11
Correlation Analysis of the Prognostic Factors of Primary IgAN and Left Ventricular Hypertrophy
20110
12 20101
13 201065
14 2009307
15 200954
16 200957
17 200933
18
[Risk factors of post-renal biopsy bleeding].
20085
19
[Application of the protocol of enhanced recovery after surgery in colorectal surgery].
20075
20
Association of CYP2E1 polymorphism and serum selenium level with risk of human lung cancer
20067

About Wei Ye

Wei Ye is a scholar working on Pathology and Forensic Medicine, Pharmacology, Cell Biology, Rheumatology and Molecular Biology, having authored 111 papers that have together received 2.8k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (30 papers), Musculoskeletal pain and rehabilitation (14 papers), Functional Brain Connectivity Studies (8 papers), Spondyloarthritis Studies and Treatments (7 papers), Scoliosis diagnosis and treatment (6 papers), EEG and Brain-Computer Interfaces (5 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Pregnancy-related medical research (5 papers). The work is most often cited by research in Cell Biology (542 citations), Pathology and Forensic Medicine (560 citations), Cancer Research (390 citations), Molecular Biology (1.2k citations) and Hepatology (128 citations). Wei Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kang Xu, Anjing Liang, Yan Peng, Chunhai Li, Xianghong Jasmine Zhou, Erika M. Wolff, Peter A. Jones, Yvonne Tsai, Gangning Liang and Jeffrey M. Friedman. Their work appears in journals such as World Neurosurgery, Connective Tissue Research, Cancer Research, Blood and Scientific Reports.

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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