Minxin Wei

624 citations
33 papers · 457 · h-index 12

Impact in

Papers in

Minxin Wei

31 papers receiving 456 citations

Peers

Minxin Wei
Comparison fields: 5 of 72
  • Pathology and Forensic Medicine 183
  • Cancer Research 78
  • Developmental Neuroscience 15
  • Molecular Biology 224
  • Cardiology and Cardiovascular Medicine 74
Replace Lianyue Guan with:
Lianyue Guan China
Junnan Liang China
Jeffrey W. Pelker United States
Jiakai Zhang China
Takanori Konishi Japan
Caihong Liang China
Zhang Lin China
Zhenqing Sun China
Man Song China
Minxin Wei relative to Lianyue Guan China Lianyue Guan's profile →
Citations per field
00.5×3.6×
Lianyue Guan · 1×
Citations per year

Countries citing papers authored by Minxin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Minxin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201583
2 201150
3 201549
4 201536
5 201432
6 201632
7 201419
8 201118
9 202015
10 202114
11 202113
12 201711
13 202010
14 20189
15 20198
16 20208
17 20246
18 20136
19 20106
20 20205

About Minxin Wei

Minxin Wei is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 457 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (8 papers), Aortic Disease and Treatment Approaches (8 papers), Cardiac and Coronary Surgery Techniques (6 papers), Cardiac Valve Diseases and Treatments (6 papers), Aortic aneurysm repair treatments (5 papers), Infectious Aortic and Vascular Conditions (3 papers), Galectins and Cancer Biology (3 papers) and Mechanisms of cancer metastasis (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (183 citations), Cancer Research (78 citations), Developmental Neuroscience (15 citations), Molecular Biology (224 citations) and Cardiology and Cardiovascular Medicine (74 citations). Minxin Wei has collaborated with scholars based in China, Hong Kong and Finland. Frequent co-authors include Jie Yang, Xi Yang, Zhi Yao, Lingbiao Xin, Chao Su, Paul Modi, Wei Zhang, Xiaoming Sun, Olli Silvennoinen and Yikui Tian. Their work appears in journals such as Scandinavian Cardiovascular Journal, Journal of Biological Chemistry, BioMed Research International, Cancer Research and The Heart Surgery Forum.

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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