Lichun Wang
Impact in
- Cell Biology top 10%
- Molecular Biology top 10%
- Sphingolipid Metabolism and Signaling
- Inflammasome and immune disorders
- Lipid Membrane Structure and Behavior
Papers in
-
- Sphingolipid Metabolism and Signaling 10
- Epidemiology 22
- Herpesvirus Infections and Treatments 12
- Cytomegalovirus and herpesvirus research 7
- Co-authors
- Steven M. Dudek (8 shared papers)Joe G. N. Garcia (9 shared papers)Liliana Moreno‐Vinasco (4 shared papers)Robert Bittman (3 shared papers)Viswanathan Natarajan (3 shared papers)Jeffrey R. Jacobson (3 shared papers)Menq-Jer Lee (3 shared papers)Cunbao Liu (1 shared paper)
- Journals
- Microvascular Research (3 papers)Applied Microbiology and Biotechnology (2 papers)PLoS ONE (2 papers)Biochimie (2 papers)Journal of Medical Virology (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Lichun Wang
73 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 115
- Cell Biology 195
- Molecular Biology 804
- Immunology 215
- Immunology and Allergy 50
- Neurology 68
Countries citing papers authored by Lichun Wang
This map shows the geographic impact of Lichun 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 Lichun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichun Wang more than expected).
Fields of papers citing papers by Lichun Wang
This network shows the impact of papers produced by Lichun 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 Lichun Wang. The network helps show where Lichun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lichun 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 142 | |
| 2 | 2014 | 117 | |
| 3 | 2013 | 116 | |
| 4 | 2010 | 90 | |
| 5 | 2009 | 73 | |
| 6 | 2008 | 70 | |
| 7 | 2020 | 63 | |
| 8 | 2021 | 58 | |
| 9 | 2012 | 43 | |
| 10 | 2013 | 39 | |
| 11 | 2012 | 39 | |
| 12 | 2012 | 37 | |
| 13 | 2016 | 36 | |
| 14 | 2002 | 31 | |
| 15 | 2012 | 29 | |
| 16 | 2015 | 29 | |
| 17 | 2005 | 28 | |
| 18 | 1971 | 27 | |
| 19 | 2020 | 27 | |
| 20 | 2013 | 26 |
About Lichun Wang
Lichun Wang is a scholar working on Molecular Biology, Epidemiology, Immunology, Cell Biology and Infectious Diseases, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (12 papers), Sphingolipid Metabolism and Signaling (10 papers), Cytomegalovirus and herpesvirus research (7 papers), Virus-based gene therapy research (6 papers), Toxin Mechanisms and Immunotoxins (5 papers), Caveolin-1 and cellular processes (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Cell Biology (195 citations), Molecular Biology (804 citations), Immunology (215 citations), Immunology and Allergy (50 citations) and Neurology (68 citations). Lichun Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Steven M. Dudek, Joe G. N. Garcia, Liliana Moreno‐Vinasco, Robert Bittman, Viswanathan Natarajan, Jeffrey R. Jacobson, Menq-Jer Lee, Cunbao Liu, Yunfei Wang and Saad Sammani. Their work appears in journals such as Microvascular Research, Applied Microbiology and Biotechnology, PLoS ONE, Biochimie and Journal of Medical Virology.
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.