Junying Wei

1.6k citations
71 papers · 1.1k indexed · h-index 19

Impact in

Papers in

Junying Wei

67 papers receiving 1.1k citations

Peers

Junying Wei
Comparison fields: 5 of 120
  • Complementary and alternative medicine 125
  • Spectroscopy 246
  • Pharmacology 97
  • Molecular Biology 496
  • Neurology 36
Replace Qiang‐Qiang Jia with:
Qiang‐Qiang Jia China
Toshiaki Miura Japan
Suxiang Feng China
Shiyong Teng China
Xianli Meng China
Chenglong Sun China
Zhihua Wang China
Jian Gao China
Haishan Deng China
Xiaowen Wu China
Junying Wei relative to Qiang‐Qiang Jia China Qiang‐Qiang Jia's profile →
Citations per field
00.5×10×20×34×
Qiang‐Qiang Jia · 1×
Citations per year

Countries citing papers authored by Junying Wei

Since Specialization
Citations

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

Fields of papers citing papers by Junying Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200773
2 200868
3 202065
4 202053
5 201852
6 200845
7 201042
8 201939
9 201635
10 202034
11 201433
12 202232
13 202032
14 201924
15 201723
16 200723
17 201723
18 202121
19 201820
20 202218

About Junying Wei

Junying Wei is a scholar working on Complementary and alternative medicine, Spectroscopy, Pharmacology, Gastroenterology and Cardiology and Cardiovascular Medicine, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (12 papers), Mass Spectrometry Techniques and Applications (12 papers), Traditional Chinese Medicine Analysis (9 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Cardiac Fibrosis and Remodeling (8 papers), Molecular Junctions and Nanostructures (6 papers), Receptor Mechanisms and Signaling (5 papers) and Pharmacological Effects of Natural Compounds (4 papers). The work is most often cited by research in Complementary and alternative medicine (125 citations), Spectroscopy (246 citations), Pharmacology (97 citations), Molecular Biology (496 citations) and Neurology (36 citations). Junying Wei has collaborated with scholars based in China, Slovenia and United Kingdom. Frequent co-authors include Xiaohong Qian, Yangjun Zhang, Hongjun Yang, Yun Cai, Jinglan Wang, Feng Tan, Feifei Guo, Wenjing Hong, Minghua Xian and Hongwei Wu. Their work appears in journals such as Frontiers in Pharmacology, Journal of Proteome Research, Journal of Ethnopharmacology, RSC Advances and Analytical and Bioanalytical Chemistry.

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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