Cheng‐Keat Tan
Impact in
- Molecular Biology top 5%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- DNA and Nucleic Acid Chemistry
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- DNA Repair Mechanisms 9
- DNA and Nucleic Acid Chemistry 3
- Viral Infectious Diseases and Gene Expression in Insects 3
- RNA Research and Splicing 2
- Molecular Biology Techniques and Applications 2
- Oncology 5
- Cancer-related Molecular Pathways 3
- Co-authors
- Kathleen M. DowneyAntero G. SoMatthew J. KosturaBruce StillmanGregory PrelichMichael B. MathewsPaul A. FisherIsabel Chu
- Journals
- Journal of Biological Chemistry (4 papers)Biochemistry (3 papers)Nucleic Acids Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)BioEssays (1 paper)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Cheng‐Keat Tan
17 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.4k
- Oncology 486
- Cancer Research 210
- Cell Biology 189
- Genetics 298
Countries citing papers authored by Cheng‐Keat Tan
This map shows the geographic impact of Cheng‐Keat Tan'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 Cheng‐Keat Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng‐Keat Tan more than expected).
Fields of papers citing papers by Cheng‐Keat Tan
This network shows the impact of papers produced by Cheng‐Keat Tan. 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 Cheng‐Keat Tan. The network helps show where Cheng‐Keat Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng‐Keat Tan, 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 | 2007 | 292 | |
| 2 | 2002 | 42 | |
| 3 | 2001 | 43 | |
| 4 | 1999 | 3 | |
| 5 | 1999 | 21 | |
| 6 | 1998 | 17 | |
| 7 | 1997 | 81 | |
| 8 | 1996 | 34 | |
| 9 | 1996 | 46 | |
| 10 | 1996 | 28 | |
| 11 | 1995 | 30 | |
| 12 | 1990 | 41 | |
| 13 | 1987 | 72 | |
| 14 | 1987 | 7 | |
| 15 | Functional identity of proliferating cell nuclear antigen and a DNA polymerase-δ auxiliary protein Hit paper breakdown → | 1987 | 974 |
| 16 | 1981 | 61 | |
| 17 | 1980 | 62 |
About Cheng‐Keat Tan
Cheng‐Keat Tan is a scholar working on Molecular Biology, Oncology, Hepatology, Cell Biology and Ecology, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), Bacteriophages and microbial interactions (3 papers), Cancer-related Molecular Pathways (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), RNA Research and Splicing (2 papers), Molecular Biology Techniques and Applications (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Oncology (486 citations), Cancer Research (210 citations), Cell Biology (189 citations) and Genetics (298 citations). Cheng‐Keat Tan has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Kathleen M. Downey, Antero G. So, Matthew J. Kostura, Bruce Stillman, Gregory Prelich, Michael B. Mathews, Paul A. Fisher, Isabel Chu, Wedad Hanna and Ludger Hengst. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Nucleic Acids Research, Proceedings of the National Academy of Sciences and BioEssays.
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.