Ying Wei
Impact in
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research
- Cancer Research top 0.5%
- Protease and Inhibitor Mechanisms
Papers in
-
- Protease and Inhibitor Mechanisms 14
-
- Cell Adhesion Molecules Research 15
- Co-authors
- Harold A. Chapman (26 shared papers)Steven Rosenberg (3 shared papers)David A. Waltz (3 shared papers)Jingcheng Dong (48 shared papers)Daniel I. Simon (3 shared papers)Matthias Christian Kugler (6 shared papers)Sarah C. Bodary (1 shared paper)Matvey Lukashev (1 shared paper)
- Journals
- Journal of Biological Chemistry (7 papers)Evidence-based Complementary and Alternative Medicine (6 papers)Phytomedicine (6 papers)Frontiers in Pharmacology (6 papers)Journal of Ethnopharmacology (4 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ying Wei
170 papers receiving 8.8k citations
Peers
Comparison fields: 5 of 142
- Immunology and Allergy 1.5k
- Cancer Research 2.5k
- Hematology 964
- Neurology 482
- Immunology 1.2k
Countries citing papers authored by Ying Wei
This map shows the geographic impact of Ying 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 Ying Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Wei more than expected).
Fields of papers citing papers by Ying Wei
This network shows the impact of papers produced by Ying 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 Ying Wei. The network helps show where Ying Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 675 | |
| 2 | 1994 | 535 | |
| 3 | 2008 | 357 | |
| 4 | 1999 | 356 | |
| 5 | 2011 | 339 | |
| 6 | 2012 | 336 | |
| 7 | 2020 | 326 | |
| 8 | 2018 | 280 | |
| 9 | 1997 | 254 | |
| 10 | 2010 | 251 | |
| 11 | 2001 | 210 | |
| 12 | 2014 | 206 | |
| 13 | 2017 | 201 | |
| 14 | 2000 | 181 | |
| 15 | 1996 | 167 | |
| 16 | 2010 | 163 | |
| 17 | 2017 | 162 | |
| 18 | 2009 | 144 | |
| 19 | 1999 | 132 | |
| 20 | 2005 | 117 |
About Ying Wei
Ying Wei is a scholar working on Cancer Research, Immunology and Allergy, Immunology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 178 papers that have together received 9.0k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (15 papers), Cell Adhesion Molecules Research (15 papers), Protease and Inhibitor Mechanisms (14 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Medicinal Plant Pharmacodynamics Research (9 papers), Peptidase Inhibition and Analysis (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Animal Virus Infections Studies (8 papers). The work is most often cited by research in Immunology and Allergy (1.5k citations), Cancer Research (2.5k citations), Hematology (964 citations), Neurology (482 citations) and Immunology (1.2k citations). Ying Wei has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Harold A. Chapman, Steven Rosenberg, David A. Waltz, Jingcheng Dong, Daniel I. Simon, Matthias Christian Kugler, Sarah C. Bodary, Matvey Lukashev, MICHAEL V. DOYLE and Qiumei Liu. Their work appears in journals such as Journal of Biological Chemistry, Evidence-based Complementary and Alternative Medicine, Phytomedicine, Frontiers in Pharmacology and Journal of Ethnopharmacology.
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.