Jeff Kao
Impact in
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- Receptor Mechanisms and Signaling
- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Organic Chemistry top 10%
Papers in
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- Chemical Synthesis and Analysis 8
- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 4
- DNA and Nucleic Acid Chemistry 4
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- Carbohydrate Chemistry and Synthesis 4
- Click Chemistry and Applications 3
- Co-authors
- Garland R. Marshall (8 shared papers)A Davignon (7 shared papers)Jay W. Ponder (3 shared papers)Constanze Bergt (2 shared papers)Jay W. Heinecke (2 shared papers)Samuel Achilefu (8 shared papers)Nabiha H. Saifee (2 shared papers)Xiaoyun Fu (2 shared papers)
- Journals
- Biopolymers (4 papers)Biochemistry (3 papers)Organic Letters (3 papers)Chemistry and Physics of Lipids (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Jeff Kao
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 584
- Organic Chemistry 230
- Spectroscopy 120
- Cellular and Molecular Neuroscience 127
- Immunology 105
Countries citing papers authored by Jeff Kao
This map shows the geographic impact of Jeff Kao'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 Jeff Kao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Kao more than expected).
Fields of papers citing papers by Jeff Kao
This network shows the impact of papers produced by Jeff Kao. 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 Jeff Kao. The network helps show where Jeff Kao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Kao, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 136 | |
| 2 | 2009 | 131 | |
| 3 | 2004 | 107 | |
| 4 | 2004 | 81 | |
| 5 | 2001 | 61 | |
| 6 | 1995 | 50 | |
| 7 | 2003 | 50 | |
| 8 | 1994 | 48 | |
| 9 | 2008 | 45 | |
| 10 | 2009 | 37 | |
| 11 | 2000 | 34 | |
| 12 | 1999 | 33 | |
| 13 | 2000 | 32 | |
| 14 | 2021 | 31 | |
| 15 | 2008 | 30 | |
| 16 | 2006 | 24 | |
| 17 | 2001 | 22 | |
| 18 | 1997 | 21 | |
| 19 | 1998 | 19 | |
| 20 | 2006 | 18 |
About Jeff Kao
Jeff Kao is a scholar working on Molecular Biology, Organic Chemistry, Materials Chemistry, Pulmonary and Respiratory Medicine and Oncology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (8 papers), Photodynamic Therapy Research Studies (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Molecular Biology (584 citations), Organic Chemistry (230 citations), Spectroscopy (120 citations), Cellular and Molecular Neuroscience (127 citations) and Immunology (105 citations). Jeff Kao has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Garland R. Marshall, A Davignon, Jay W. Ponder, Constanze Bergt, Jay W. Heinecke, Samuel Achilefu, Nabiha H. Saifee, Xiaoyun Fu, William E. Buhro and Fudong Wang. Their work appears in journals such as Biopolymers, Biochemistry, Organic Letters, Chemistry and Physics of Lipids and Journal of Molecular 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.