Li Kung
Impact in
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- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
- Advanced Biosensing Techniques and Applications
- RNA modifications and cancer
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
- CRISPR and Genetic Engineering
Papers in
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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
- Gene expression and cancer classification 1
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- Advanced Proteomics Techniques and Applications 2
- Co-authors
- M Snyder (3 shared papers)Kevin J. Wise (1 shared paper)Michael A. White (1 shared paper)Mark E. Dumont (1 shared paper)Yoshiko Kon (1 shared paper)Mark Gerstein (1 shared paper)Lixia Jiang (1 shared paper)Elizabeth J. Grayhack (1 shared paper)
- Journals
- Nature Methods (1 paper)Molecular Systems Biology (1 paper)PLoS ONE (1 paper)Angewandte Chemie International Edition (1 paper)Nature Reviews Molecular Cell Biology (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Li Kung
7 papers receiving 595 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 537
- Aging 7
- 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-authors
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 | 2005 | 385 | |
| 2 | 2009 | 79 | |
| 3 | 2009 | 74 | |
| 4 | 2006 | 38 | |
| 5 | 2010 | 25 | |
| 6 | 2010 | 8 | |
| 7 | 2015 | 5 | |
| 8 | 2016 | 0 |
About Li Kung
Li Kung is a scholar working on Molecular Biology, Spectroscopy, Ecology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 614 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Genomics and Phylogenetic Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper), Gene expression and cancer classification (1 paper) and Solar Radiation and Photovoltaics (1 paper). The work is most often cited by research in Molecular Biology (537 citations), Aging (7 citations), Cell Biology (59 citations), Spectroscopy (45 citations) and Endocrinology (11 citations). Li Kung has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include M Snyder, Kevin J. Wise, Michael A. White, Mark E. Dumont, Yoshiko Kon, Mark Gerstein, Lixia Jiang, Elizabeth J. Grayhack, Daniel Gelperin and Eric M. Phizicky. Their work appears in journals such as Nature Methods, Molecular Systems Biology, PLoS ONE, Angewandte Chemie International Edition and Nature Reviews Molecular Cell 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.