Jingyan Wei

4.3k citations
55 papers · 3.7k indexed · 2 hit papers · h-index 19

Jingyan Wei

52 papers receiving 3.7k citations

Hit Papers

Field-Free Isolation of Exosomes from Extracellular Vesic...41220132026201720214008001.2k

Peers

Jingyan Wei
Comparison fields: 5 of 113
  • Cancer Research 1.1k
  • Biomaterials 518
  • Molecular Biology 2.5k
  • Biomedical Engineering 1.3k
  • Immunology 299
Replace Patrycja Nowak‐Sliwinska with:
Patrycja Nowak‐Sliwinska Switzerland
Hua Guo China
Bin Guo China
Congjian Xu China
Zhuo Chen China
Wanhai Xu China
Haolu Wang Australia
Anupama Munshi United States
Marcel H.A.M. Fens Netherlands
Jun Qian China
Jingyan Wei relative to Patrycja Nowak‐Sliwinska Switzerland Patrycja Nowak‐Sliwinska's profile →
Citations per field
00.5×1.5×2.2×
Patrycja Nowak‐Sliwinska · 1×
Citations per year

Countries citing papers authored by Jingyan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jingyan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202311
4 20238
5 202213
6 202112
7 202018
8 202012
9 2017147
10 201721
11 201617
12 20148
13 201310
14 20138
15 201314
16 200939
17 200913
18 200810
19 200725
20 20067

About Jingyan Wei

Jingyan Wei is a scholar working on Toxicology, Nutrition and Dietetics, Molecular Biology, Biochemistry and Pharmacology, having authored 55 papers that have together received 3.7k indexed citations. Recurring topics across this work include Selenium in Biological Systems (17 papers), Redox biology and oxidative stress (12 papers), Organoselenium and organotellurium chemistry (9 papers), Extracellular vesicles in disease (5 papers), Inflammatory mediators and NSAID effects (5 papers), Nanoplatforms for cancer theranostics (4 papers), Glutathione Transferases and Polymorphisms (4 papers) and Inflammatory Biomarkers in Disease Prognosis (4 papers). The work is most often cited by research in Cancer Research (1.1k citations), Biomaterials (518 citations), Molecular Biology (2.5k citations), Biomedical Engineering (1.3k citations) and Immunology (299 citations). Jingyan Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guangjun Nie, Gregory J. Anderson, Suping Li, Tianjiao Ji, Motao Zhu, Yanhua Tian, Jian Song, Xiaochun Wu, Yuliang Zhao and Yinlong Zhang. Their work appears in journals such as IUBMB Life, Free Radical Biology and Medicine, Analytical Biochemistry, Lung Cancer and Antioxidants.

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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