Li‐San Wang
Impact in
- Aging top 2%
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Genomics and Phylogenetic Studies 16
- RNA Research and Splicing 12
- RNA and protein synthesis mechanisms 10
- Bioinformatics and Genomic Networks 9
- RNA modifications and cancer 9
- Genomics and Chromatin Dynamics 8
- Genetics 28
- Genetic Associations and Epidemiology 15
- Co-authors
- Erika L. Pearce (2 shared papers)Matthew C. Walsh (2 shared papers)Yongwon Choi (2 shared papers)Pedro J. Cejas (2 shared papers)Hao Shen (1 shared paper)Russell G. Jones (1 shared paper)Tandy Warnow (9 shared papers)Brian D. Gregory (17 shared papers)
- Journals
- Bioinformatics (12 papers)Alzheimer s & Dementia (10 papers)Nucleic Acids Research (8 papers)PLoS ONE (4 papers)Journal of Alzheimer s Disease (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Li‐San Wang
86 papers receiving 4.4k citations
Li‐San Wang's Hit Papers
Peers
Comparison fields: 5 of 148
- Aging 124
- Immunology 911
- Cancer Research 609
- Molecular Biology 2.6k
- Biological Psychiatry 63
Countries citing papers authored by Li‐San Wang
This map shows the geographic impact of Li‐San 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 Li‐San Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐San Wang more than expected).
Fields of papers citing papers by Li‐San Wang
This network shows the impact of papers produced by Li‐San 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 Li‐San Wang. The network helps show where Li‐San Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Li‐San 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Enhancing CD8 T-cell memory by modulating fatty acid metabolism Hit paper breakdown → | 2009 | 1244 |
| 2 | 2012 | 311 | |
| 3 | 2014 | 281 | |
| 4 | 2018 | 248 | |
| 5 | 2007 | 236 | |
| 6 | 2009 | 125 | |
| 7 | 2010 | 116 | |
| 8 | 2013 | 113 | |
| 9 | 2012 | 109 | |
| 10 | 2005 | 102 | |
| 11 | 2012 | 93 | |
| 12 | 2012 | 88 | |
| 13 | 2016 | 84 | |
| 14 | 2010 | 71 | |
| 15 | 2002 | 70 | |
| 16 | 2013 | 64 | |
| 17 | 2015 | 61 | |
| 18 | 2017 | 54 | |
| 19 | 2015 | 53 | |
| 20 | 2012 | 46 |
About Li‐San Wang
Li‐San Wang is a scholar working on Molecular Biology, Genetics, Cancer Research, Artificial Intelligence and Physiology, having authored 93 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Genetic Associations and Epidemiology (15 papers), RNA Research and Splicing (12 papers), Cancer-related molecular mechanisms research (10 papers), RNA and protein synthesis mechanisms (10 papers), Bioinformatics and Genomic Networks (9 papers), RNA modifications and cancer (9 papers) and Genomics and Chromatin Dynamics (8 papers). The work is most often cited by research in Aging (124 citations), Immunology (911 citations), Cancer Research (609 citations), Molecular Biology (2.6k citations) and Biological Psychiatry (63 citations). Li‐San Wang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Erika L. Pearce, Matthew C. Walsh, Yongwon Choi, Pedro J. Cejas, Hao Shen, Russell G. Jones, Tandy Warnow, Brian D. Gregory, F. Brad Johnson and Kajia Cao. Their work appears in journals such as Bioinformatics, Alzheimer s & Dementia, Nucleic Acids Research, PLoS ONE and Journal of Alzheimer s 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.