Weiye Wang
Impact in
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in ⓘ
-
- Cell Adhesion Molecules Research 4
- Co-authors
- Chang Hoon Ha (7 shared papers)Chelsea Wong (6 shared papers)Bong Sook Jhun (4 shared papers)Zheng Gen Jin (5 shared papers)Zheng‐Gen Jin (3 shared papers)Mukesh K. Jain (1 shared paper)Suowen Xu (3 shared papers)Timothy A. McKinsey (2 shared papers)
- Journals
- Biopreservation and Biobanking (2 papers)The Journal of Cell Biology (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Journal of Cancer (1 paper)Blood (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Weiye Wang
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Computational Mathematics 8
- Obstetrics and Gynecology 78
- Molecular Biology 619
- Cancer Research 95
- Immunology 130
Countries citing papers authored by Weiye Wang
This map shows the geographic impact of Weiye Wang'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 Weiye Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiye Wang more than expected).
Fields of papers citing papers by Weiye Wang
This network shows the impact of papers produced by Weiye Wang. 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 Weiye Wang. The network helps show where Weiye Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiye Wang, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 154 | |
| 2 | 2008 | 139 | |
| 3 | 2010 | 103 | |
| 4 | 2014 | 71 | |
| 5 | 2007 | 63 | |
| 6 | 2018 | 56 | |
| 7 | 2010 | 55 | |
| 8 | 2020 | 48 | |
| 9 | 2014 | 46 | |
| 10 | 2018 | 43 | |
| 11 | 2014 | 36 | |
| 12 | 2018 | 36 | |
| 13 | 2020 | 27 | |
| 14 | 2011 | 25 | |
| 15 | 2015 | 24 | |
| 16 | 2011 | 24 | |
| 17 | 2019 | 17 | |
| 18 | 2015 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2018 | 12 |
About Weiye Wang
Weiye Wang is a scholar working on Computational Mathematics, Immunology and Allergy, Biophysics, Parasitology and Pediatrics, Perinatology and Child Health, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Neonatal Health and Biochemistry (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Thyroid Disorders and Treatments (4 papers), Nuclear Receptors and Signaling (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Glaucoma and retinal disorders (2 papers) and Combustion and Detonation Processes (2 papers). The work is most often cited by research in Computational Mathematics (8 citations), Obstetrics and Gynecology (78 citations), Molecular Biology (619 citations), Cancer Research (95 citations) and Immunology (130 citations). Weiye Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chang Hoon Ha, Chelsea Wong, Bong Sook Jhun, Zheng Gen Jin, Zheng‐Gen Jin, Mukesh K. Jain, Suowen Xu, Timothy A. McKinsey, Angelika Haußer and Eric N. Olson. Their work appears in journals such as Biopreservation and Biobanking, The Journal of Cell Biology, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Cancer and Blood.
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.