Quan Wei

2.8k citations
75 papers · 1.8k · 1 hit paper · h-index 23

Impact in

Papers in

Quan Wei

70 papers receiving 1.8k citations

Quan Wei's Hit Papers

Signaling pathways and targeted therapy for myocardial infarction 2022 · 551 citations
5510+1+2Years since publication100200300400500

Peers

Quan Wei
Comparison fields: 5 of 120
  • Cardiology and Cardiovascular Medicine 266
  • Cancer Research 148
  • Pathology and Forensic Medicine 165
  • Complementary and Manual Therapy 20
  • Rehabilitation 53
Replace Chenying Fu with:
Chenying Fu China
Kanji Fukuda Japan
Claudio Maldonado United States
Yoram Wollman Israel
Matteo Beretta Italy
Wen Liu China
Anne‐Marie Heegaard Denmark
P.I. Mapp United Kingdom
Roberto Sala Italy
Quan Wei relative to Chenying Fu China Chenying Fu's profile →
Citations per field
00.5×2.9×
Chenying Fu · 1×
Citations per year

Countries citing papers authored by Quan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Quan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Signaling pathways and targeted therapy for myocardial infarction
Hit paper breakdown →
2022551
2 2021105
3 202083
4 202277
5 202377
6 202446
7 200636
8 201932
9 202132
10 202031
11 202031
12 202330
13 202130
14 202028
15 202227
16 202025
17 202025
18 202324
19 201924
20 201823

About Quan Wei

Quan Wei is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Surgery and Cancer Research, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (8 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers), Electromagnetic Fields and Biological Effects (5 papers), Cardiac Fibrosis and Remodeling (4 papers), Stroke Rehabilitation and Recovery (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (266 citations), Cancer Research (148 citations), Pathology and Forensic Medicine (165 citations), Complementary and Manual Therapy (20 citations) and Rehabilitation (53 citations). Quan Wei has collaborated with scholars based in China, Hong Kong and Belgium. Frequent co-authors include Chengqi He, Chenying Fu, Qing Zhang, Shiqi Wang, Hongxin Cheng, Lu Wang, Yang Wang, Lin Xu, Gaiqin Pei and Yangfu Jiang. Their work appears in journals such as Clinical Rehabilitation, Journal of Medical Internet Research, Archives of Physical Medicine and Rehabilitation, BMC Cardiovascular Disorders and Frontiers in Cell and Developmental Biology.

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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