Li Kung
Impact in
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- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Advanced Biosensing Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- RNA modifications and cancer
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
- CRISPR and Genetic Engineering
Papers in
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- Advanced Proteomics Techniques and Applications 2
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- Advanced biosensing and bioanalysis techniques 4
- Genomics and Phylogenetic Studies 3
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 2
- Glycosylation and Glycoproteins Research 1
- RNA modifications and cancer 1
- Advanced Biosensing Techniques and Applications 1
- Co-authors
- M SnyderDaniel GelperinKevin J. WiseYoshiko KonHaiyuan YuMark E. DumontElizabeth J. GrayhackLixia Jiang
- Journals
- Nature Methods (1 paper)Genes & Development (1 paper)Nature Reviews Molecular Cell Biology (1 paper)PLoS ONE (1 paper)Molecular Systems Biology (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Li Kung
7 papers receiving 586 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 542
- Aging 8
- Cell Biology 59
- Spectroscopy 45
- Endocrinology 11
Countries citing papers authored by Li Kung
This map shows the geographic impact of Li Kung'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 Kung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Kung more than expected).
Fields of papers citing papers by Li Kung
This network shows the impact of papers produced by Li Kung. 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 Kung. The network helps show where Li Kung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li Kung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 0 | |
| 2 | 2015 | 5 | |
| 3 | 2010 | 24 | |
| 4 | 2010 | 7 | |
| 5 | 2009 | 77 | |
| 6 | 2009 | 73 | |
| 7 | 2006 | 38 | |
| 8 | 2005 | 381 |
About Li Kung
Li Kung is a scholar working on Spectroscopy, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Ecology and Artificial Intelligence, having authored 8 papers that have together received 605 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Genomics and Phylogenetic Studies (3 papers), CRISPR and Genetic Engineering (2 papers), Advanced Proteomics Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper), RNA modifications and cancer (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (542 citations), Aging (8 citations), Cell Biology (59 citations), Spectroscopy (45 citations) and Endocrinology (11 citations). Li Kung has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include M Snyder, Daniel Gelperin, Kevin J. Wise, Yoshiko Kon, Haiyuan Yu, Mark E. Dumont, Elizabeth J. Grayhack, Lixia Jiang, Mark Gerstein and Michael A. White. Their work appears in journals such as Nature Methods, Genes & Development, Nature Reviews Molecular Cell Biology, PLoS ONE and Molecular Systems Biology.
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.