Bik‐Kwoon Tye
Impact in
- Molecular Biology top 1%
- DNA Repair Mechanisms
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Aging top 5%
Papers in
-
- DNA Repair Mechanisms 46
- Fungal and yeast genetics research 30
- Genomics and Chromatin Dynamics 20
- DNA and Nucleic Acid Chemistry 16
- RNA and protein synthesis mechanisms 7
- Microbial Metabolic Engineering and Bioproduction 7
- Co-authors
- Clarence S.M. Chan (3 shared papers)David Botstein (6 shared papers)Gregory T. Maine (3 shared papers)Randolph C. Elble (4 shared papers)Richard Surosky (10 shared papers)Hai Yan (2 shared papers)I Lehman (5 shared papers)Pratima Sinha (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (12 papers)Molecular and Cellular Biology (7 papers)Journal of Molecular Biology (7 papers)Genes & Development (6 papers)Genetics (3 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Bik‐Kwoon Tye
56 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 4.3k
- Aging 83
- Genetics 829
- Cell Biology 416
- Plant Science 856
Countries citing papers authored by Bik‐Kwoon Tye
This map shows the geographic impact of Bik‐Kwoon Tye'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 Bik‐Kwoon Tye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bik‐Kwoon Tye more than expected).
Fields of papers citing papers by Bik‐Kwoon Tye
This network shows the impact of papers produced by Bik‐Kwoon Tye. 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 Bik‐Kwoon Tye. The network helps show where Bik‐Kwoon Tye may publish in the future.
Co-authors
The 25 scholars most cited alongside Bik‐Kwoon Tye, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 359 | |
| 2 | 1988 | 297 | |
| 3 | 1983 | 283 | |
| 4 | 1975 | 268 | |
| 5 | 1977 | 234 | |
| 6 | 1993 | 208 | |
| 7 | 2015 | 207 | |
| 8 | 1989 | 205 | |
| 9 | 1980 | 180 | |
| 10 | 1974 | 176 | |
| 11 | 1991 | 174 | |
| 12 | 1978 | 132 | |
| 13 | 1990 | 127 | |
| 14 | 2018 | 108 | |
| 15 | 1986 | 101 | |
| 16 | 1977 | 100 | |
| 17 | 1983 | 96 | |
| 18 | 1992 | 93 | |
| 19 | 1991 | 89 | |
| 20 | 1974 | 86 |
About Bik‐Kwoon Tye
Bik‐Kwoon Tye is a scholar working on Molecular Biology, Plant Science, Genetics, Biomedical Engineering and Ecology, having authored 57 papers that have together received 4.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (46 papers), Fungal and yeast genetics research (30 papers), Genomics and Chromatin Dynamics (20 papers), DNA and Nucleic Acid Chemistry (16 papers), RNA and protein synthesis mechanisms (7 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Bacterial Genetics and Biotechnology (5 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Molecular Biology (4.3k citations), Aging (83 citations), Genetics (829 citations), Cell Biology (416 citations) and Plant Science (856 citations). Bik‐Kwoon Tye has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Clarence S.M. Chan, David Botstein, Gregory T. Maine, Randolph C. Elble, Richard Surosky, Hai Yan, I Lehman, Pratima Sinha, Susan I. Gibson and Russell K. Chan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Journal of Molecular Biology, Genes & Development and Genetics.
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.