Lingyan Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- NF-κB Signaling Pathways
- Immunology top 5%
- interferon and immune responses
Papers in
-
- Glycosylation and Glycoproteins Research 10
- Ubiquitin and proteasome pathways 8
- Epigenetics and DNA Methylation 5
- Circular RNAs in diseases 4
- Immunology 21
- interferon and immune responses 13
- Galectins and Cancer Biology 6
- Co-authors
- Shitao Li (15 shared papers)Martin E. Dorf (8 shared papers)Jiake Chai (1 shared paper)Li Xiao (1 shared paper)Huinan Yin (1 shared paper)Yonghui Yu (1 shared paper)Li Ma (1 shared paper)Lingying Liu (1 shared paper)
- Journals
- PLoS ONE (4 papers)Journal of Cellular Physiology (2 papers)The Journal of Immunology (2 papers)Viruses (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lingyan Wang
61 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 420
- Immunology 432
- Rehabilitation 137
- Molecular Biology 1.1k
- Genetics 143
Countries citing papers authored by Lingyan Wang
This map shows the geographic impact of Lingyan 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 Lingyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyan Wang more than expected).
Fields of papers citing papers by Lingyan Wang
This network shows the impact of papers produced by Lingyan 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 Lingyan Wang. The network helps show where Lingyan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingyan 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 366 | |
| 2 | 2006 | 117 | |
| 3 | 2009 | 88 | |
| 4 | 2014 | 68 | |
| 5 | 2018 | 68 | |
| 6 | 2017 | 52 | |
| 7 | 2013 | 49 | |
| 8 | 2013 | 48 | |
| 9 | 2007 | 48 | |
| 10 | 2012 | 48 | |
| 11 | 2013 | 39 | |
| 12 | 2020 | 35 | |
| 13 | 2014 | 31 | |
| 14 | 2017 | 30 | |
| 15 | 2014 | 29 | |
| 16 | 2014 | 29 | |
| 17 | 2007 | 29 | |
| 18 | 2019 | 28 | |
| 19 | 2020 | 27 | |
| 20 | 2021 | 26 |
About Lingyan Wang
Lingyan Wang is a scholar working on Molecular Biology, Immunology, Cancer Research, Epidemiology and Oncology, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include interferon and immune responses (13 papers), Glycosylation and Glycoproteins Research (10 papers), Ubiquitin and proteasome pathways (8 papers), MicroRNA in disease regulation (7 papers), Galectins and Cancer Biology (6 papers), NF-κB Signaling Pathways (6 papers), Epigenetics and DNA Methylation (5 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (420 citations), Immunology (432 citations), Rehabilitation (137 citations), Molecular Biology (1.1k citations) and Genetics (143 citations). Lingyan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shitao Li, Martin E. Dorf, Jiake Chai, Li Xiao, Huinan Yin, Yonghui Yu, Li Ma, Lingying Liu, Jing Yang and Michael A. Berman. Their work appears in journals such as PLoS ONE, Journal of Cellular Physiology, The Journal of Immunology, Viruses and Cell Death and Disease.
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.