Wei Jin

42 papers receiving 529 citations

Peers

Wei Jin
Comparison fields: 5 of 106
  • Nuclear Energy and Engineering 4
  • Nephrology 54
  • Pollution 50
  • Industrial and Manufacturing Engineering 30
  • Mechanical Engineering 86
Replace Liang Ren with:
Liang Ren China
Yutaka Iida Japan
Xiaoshuai Li China
Nicola Lai United States
Masayuki Onodera Japan
Hengzhen Li China
Bin Zhu China
Hyun‐A Kim South Korea
Wei Jin relative to Liang Ren China Liang Ren's profile →
Citations per field
00.5×7.7×
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Citations per year

Countries citing papers authored by Wei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Wei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202074
2 202250
3 200941
4 201639
5 202324
6 201524
7 202223
8 201622
9 202121
10 202319
11 202217
12 202215
13
Single nucleotide polymorphisms in promoter of angiotensin II type 1 receptor gene associated with essential hypertension and coronary heart disease in Chinese population.
200315
14 202311
15 202310
16 201910
17 20228
18 20228
19
Spermatozoal protein profiles in male infertility with asthenozoospermia.
20108
20 20198

About Wei Jin

Wei Jin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Civil and Structural Engineering, Pollution and Health, Toxicology and Mutagenesis, having authored 45 papers that have together received 533 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (3 papers), Heat Transfer Mechanisms (2 papers), interferon and immune responses (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Landslides and related hazards (2 papers), Microplastics and Plastic Pollution (2 papers), Lipid metabolism and disorders (2 papers) and Turbomachinery Performance and Optimization (2 papers). The work is most often cited by research in Nuclear Energy and Engineering (4 citations), Nephrology (54 citations), Pollution (50 citations), Industrial and Manufacturing Engineering (30 citations) and Mechanical Engineering (86 citations). Wei Jin has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Ning Jia, Jiang Lei, Junmei Wu, Wen‐Tao Ji, Gongnan Xie, Shengjia Ma, Shuai Tang, Peipei Sun, Lin Lu and Ruiyan Zhang. Their work appears in journals such as PLoS ONE, The Science of The Total Environment, Frontiers in Oncology, BMC Cardiovascular Disorders and Acta Pharmaceutica Sinica B.

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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