Junying Wei
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Traditional Chinese Medicine Analysis 13
- Spectroscopy 18
- Advanced Proteomics Techniques and Applications 17
- Co-authors
- Xiaohong Qian (17 shared papers)Yangjun Zhang (15 shared papers)Hongjun Yang (30 shared papers)Yun Cai (7 shared papers)Jinglan Wang (6 shared papers)Feng Tan (5 shared papers)Feifei Guo (15 shared papers)Wenjing Hong (6 shared papers)
- Journals
- Journal of Proteome Research (5 papers)Frontiers in Pharmacology (5 papers)Journal of Ethnopharmacology (3 papers)RSC Advances (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junying Wei
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Spectroscopy 341
- Complementary and alternative medicine 192
- Pharmacology 46
- Gastroenterology 31
- Neurology 32
Countries citing papers authored by Junying Wei
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
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.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 99 | |
| 2 | 2007 | 83 | |
| 3 | 2020 | 70 | |
| 4 | 2008 | 69 | |
| 5 | 2018 | 58 | |
| 6 | 2019 | 58 | |
| 7 | 2020 | 57 | |
| 8 | 2008 | 47 | |
| 9 | 2010 | 47 | |
| 10 | 2020 | 40 | |
| 11 | 2016 | 35 | |
| 12 | 2022 | 35 | |
| 13 | 2014 | 34 | |
| 14 | 2020 | 34 | |
| 15 | 2019 | 31 | |
| 16 | 2017 | 26 | |
| 17 | 2017 | 24 | |
| 18 | 2007 | 23 | |
| 19 | 2018 | 22 | |
| 20 | 2021 | 22 |
About Junying Wei
Junying Wei is a scholar working on Complementary and alternative medicine, Spectroscopy, Cardiology and Cardiovascular Medicine, Pharmacology and Gastroenterology, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (17 papers), Traditional Chinese Medicine Analysis (13 papers), Cardiac Fibrosis and Remodeling (8 papers), Molecular Junctions and Nanostructures (4 papers), Computational Drug Discovery Methods (4 papers), Neurological Disease Mechanisms and Treatments (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers) and Acute Ischemic Stroke Management (3 papers). The work is most often cited by research in Spectroscopy (341 citations), Complementary and alternative medicine (192 citations), Pharmacology (46 citations), Gastroenterology (31 citations) and Neurology (32 citations). Junying Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaohong Qian, Yangjun Zhang, Hongjun Yang, Yun Cai, Jinglan Wang, Feng Tan, Feifei Guo, Wenjing Hong, Hongwei Wu and Minghua Xian. Their work appears in journals such as Journal of Proteome Research, Frontiers in Pharmacology, Journal of Ethnopharmacology, RSC Advances and Scientific Reports.
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.