Yining Wang
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 10%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Papers in
- Genetics 9
- Genetic and phenotypic traits in livestock 3
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic Associations and Epidemiology 3
- Co-authors
- Changxi Li (6 shared papers)Paul Stothard (6 shared papers)Graham Plastow (5 shared papers)Robert Mukiibi (4 shared papers)Guohui Lin (5 shared papers)Michael Vinsky (2 shared papers)Liuhong Chen (2 shared papers)Qiuwei Pan (7 shared papers)
- Journals
- BMC Genomics (3 papers)Scientific Reports (2 papers)BMC Bioinformatics (2 papers)Infection Genetics and Evolution (2 papers)Antiviral Research (2 papers)
- Partner nations
- ChinaCanadaNetherlands
In The Last Decade
Yining Wang
46 papers receiving 813 citations
Peers
Comparison fields: 5 of 123
- Cancer Research 133
- Genetics 195
- Molecular Medicine 29
- Rehabilitation 35
- Animal Science and Zoology 45
Countries citing papers authored by Yining Wang
This map shows the geographic impact of Yining 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 Yining Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yining Wang more than expected).
Fields of papers citing papers by Yining Wang
This network shows the impact of papers produced by Yining 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 Yining Wang. The network helps show where Yining Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yining 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 88 | |
| 2 | 2018 | 69 | |
| 3 | 2024 | 65 | |
| 4 | 2020 | 59 | |
| 5 | 2020 | 45 | |
| 6 | 2019 | 36 | |
| 7 | 2018 | 34 | |
| 8 | 2017 | 33 | |
| 9 | 1999 | 32 | |
| 10 | 2016 | 28 | |
| 11 | 2020 | 27 | |
| 12 | 2023 | 22 | |
| 13 | 2020 | 19 | |
| 14 | 2021 | 19 | |
| 15 | 2023 | 18 | |
| 16 | 2019 | 18 | |
| 17 | 2023 | 18 | |
| 18 | 2012 | 17 | |
| 19 | 2009 | 16 | |
| 20 | 2022 | 16 |
About Yining Wang
Yining Wang is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Plant Science and Pharmacology, having authored 48 papers that have together received 834 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (3 papers), Genetic and phenotypic traits in livestock (3 papers), COVID-19 Clinical Research Studies (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic Associations and Epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Microbial Natural Products and Biosynthesis (3 papers) and Orbital Angular Momentum in Optics (2 papers). The work is most often cited by research in Cancer Research (133 citations), Genetics (195 citations), Molecular Medicine (29 citations), Rehabilitation (35 citations) and Animal Science and Zoology (45 citations). Yining Wang has collaborated with scholars based in China, Canada and Netherlands. Frequent co-authors include Changxi Li, Paul Stothard, Graham Plastow, Robert Mukiibi, Guohui Lin, Michael Vinsky, Liuhong Chen, Qiuwei Pan, Feng Zhang and J. A. Basarab. Their work appears in journals such as BMC Genomics, Scientific Reports, BMC Bioinformatics, Infection Genetics and Evolution and Antiviral Research.
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.