Jin Wei

507 citations
16 papers · 434 indexed · h-index 9

Impact in

Papers in

Jin Wei

16 papers receiving 432 citations

Peers

Jin Wei
Comparison fields: 5 of 75
  • Cell Biology 94
  • Cardiology and Cardiovascular Medicine 105
  • Molecular Biology 253
  • Clinical Biochemistry 21
  • Cancer Research 46
Replace Shihao Zhao with:
Shihao Zhao China
Jessica Díaz‐Elizondo Chile
Shiqun Sun China
Kalpana Ballal United States
Ke‐Xue Li China
Meiyi Zhou China
Graciela Gamez United States
Gloria Torres Chile
Dipsikha Biswas Canada
Ahmed Lawan United States
Jin Wei relative to Shihao Zhao China Shihao Zhao's profile →
Citations per field
00.5×
Shihao Zhao · 1×
Citations per year

Countries citing papers authored by Jin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20252
2 20243
3 20241
4 20233
5 202214
6 202122
7 20203
8 201734
9 201517
10 201534
11 20151
12
Ets-1 upregulation mediates angiotensin II-related cardiac fibrosis.
201514
13 20143
14 2013180
15 200856
16 200647

About Jin Wei

Jin Wei is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology, Molecular Biology, Clinical Biochemistry and Complementary and alternative medicine, having authored 16 papers that have together received 434 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Viral Infections and Immunology Research (3 papers), Connective Tissue Growth Factor Research (2 papers), Cardiovascular Function and Risk Factors (2 papers), Autophagy in Disease and Therapy (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Cell Biology (94 citations), Cardiology and Cardiovascular Medicine (105 citations), Molecular Biology (253 citations), Clinical Biochemistry (21 citations) and Cancer Research (46 citations). Jin Wei has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Zhongwei Liu, Chuan Qiu, Haitao Zhu, Jiahong Xue, Kunlun Chen, Xin Dong, Rui Yan, Shan Hu, Dengfeng Gao and Nanping Wang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Frontiers in Endocrinology, Journal of Trace Elements in Medicine and Biology, Journal of Cardiovascular Translational Research and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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