Yu Wei

568 citations
15 papers · 402 · h-index 7

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Chronic Lymphocytic Leukemia Research

Papers in

Yu Wei

15 papers receiving 394 citations

Peers

Yu Wei
Comparison fields: 5 of 58
  • Hematology 316
  • Genetics 72
  • Pathology and Forensic Medicine 85
  • Immunology and Allergy 26
  • Nephrology 29
Replace Jihua Qiu with:
Jihua Qiu China
Ming Hou China
Anna Baraldi Italy
Rafael Marino Canada
JS Bennett United States
Fumiaki Banno Japan
Isabelle C. Becker United States
György Temesszentandrási Hungary
R Airò Italy
Yusuke Shiozawa Japan
Yu Wei relative to Jihua Qiu China Jihua Qiu's profile →
Citations per field
00.5×1.5×2.4×
Jihua Qiu · 1×
Citations per year

Countries citing papers authored by Yu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015145
2 201674
3 201658
4 201649
5 201624
6 201516
7 20166
8 20246
9
Validation of four different risk stratification models in patients undergoing heart valve surgery in a single center in China.
20115
10 20254
11
[Low Intensity Anticoagulation Therapy for Chinese Population with Heart Valve Replacement--3 000 Cases Follow-up].
20164
12
[The efficacy and safety of 2 cycles' high-dose dexamethasone treatment adult primary immune thrombocytopenia].
20114
13
Lipid-lowering efficacy and safety of varying doses of Simvastatin in patients with early stage acute coronary syndromes: one-year follow-up study.
20034
14 20142
15 20241

About Yu Wei

Yu Wei is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 15 papers that have together received 402 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (9 papers), Blood groups and transfusion (6 papers), Blood properties and coagulation (2 papers), Ferroptosis and cancer prognosis (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Immune cells in cancer (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Hematology (316 citations), Genetics (72 citations), Pathology and Forensic Medicine (85 citations), Immunology and Allergy (26 citations) and Nephrology (29 citations). Yu Wei has collaborated with scholars based in China and Canada. Frequent co-authors include Ming Hou, Jun Peng, Yawen Wang, Xuena Liu, Xuebin Ji, Jingxia Wang, Zhengcheng Wang, Fang Zhou, Guoqiang Liu and Xinguang Liu. Their work appears in journals such as Blood, Journal of Food Biochemistry, Acta Pharmacologica Sinica, Scientific Reports and Seminars in Hematology.

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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