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 6
- RNA regulation and disease 4
- Immunology 20
- interferon and immune responses 14
- Galectins and Cancer Biology 5
- Co-authors
- Shitao Li (16 shared papers)Martin E. Dorf (9 shared papers)Jing Yang (1 shared paper)Li Xiao (1 shared paper)Yonghui Yu (1 shared paper)Li Ma (1 shared paper)Lingying Liu (1 shared paper)Huinan Yin (1 shared paper)
- Journals
- PLoS ONE (4 papers)The Journal of Immunology (3 papers)Molecular Cell (2 papers)International Journal of Molecular Sciences (2 papers)Biochimica et Biophysica Acta (BBA) - General Subjects (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lingyan Wang
64 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 111
- Cancer Research 395
- Immunology 410
- Rehabilitation 115
- Molecular Biology 1.1k
- Genetics 133
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 390 | |
| 2 | 2006 | 120 | |
| 3 | 2009 | 97 | |
| 4 | 2018 | 69 | |
| 5 | 2014 | 68 | |
| 6 | 2017 | 53 | |
| 7 | 2012 | 51 | |
| 8 | 2013 | 50 | |
| 9 | 2013 | 50 | |
| 10 | 2007 | 48 | |
| 11 | 2013 | 42 | |
| 12 | 2020 | 38 | |
| 13 | 2014 | 33 | |
| 14 | 2014 | 31 | |
| 15 | 2019 | 30 | |
| 16 | 2007 | 30 | |
| 17 | 2017 | 30 | |
| 18 | 2014 | 29 | |
| 19 | 2021 | 28 | |
| 20 | 2019 | 27 |
About Lingyan Wang
Lingyan Wang is a scholar working on Molecular Biology, Immunology, Cancer Research, Epidemiology and Oncology, having authored 65 papers that have together received 1.8k indexed citations. Recurring topics across this work include interferon and immune responses (14 papers), Glycosylation and Glycoproteins Research (10 papers), MicroRNA in disease regulation (7 papers), Ubiquitin and proteasome pathways (6 papers), NF-κB Signaling Pathways (6 papers), Galectins and Cancer Biology (5 papers), RNA regulation and disease (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (395 citations), Immunology (410 citations), Rehabilitation (115 citations), Molecular Biology (1.1k citations) and Genetics (133 citations). Lingyan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shitao Li, Martin E. Dorf, Jing Yang, Li Xiao, Yonghui Yu, Li Ma, Lingying Liu, Huinan Yin, Jiake Chai and Michael A. Berman. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Molecular Cell, International Journal of Molecular Sciences and Biochimica et Biophysica Acta (BBA) - General Subjects.
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.