Keith E. Shearwin
- Genetics top 2%
- Bacterial Genetics and Biotechnology 30
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 25
- Genomics and Chromatin Dynamics 12
- Protein Structure and Dynamics 11
- CRISPR and Genetic Engineering 10
- DNA and Nucleic Acid Chemistry 8
- Ecology top 5%
- Bacteriophages and microbial interactions 23
- Endocrinology top 5%
-
- Enzyme Structure and Function 8
- Co-authors
- J. Barry EganIan B. DoddJohn T. EganAdam C. PalmerNan HaoDonald J. WinzorLun CuiDavid G. Priest
- Cited by
- GeneticsMolecular BiologyEcology
- Journals
- Nucleic Acids Research (8 papers)Journal of Biological Chemistry (5 papers)Biochemistry (4 papers)
- Partner nations
- AustraliaUnited StatesDenmark
In The Last Decade
Keith E. Shearwin
72 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 111
- Genetics 863
- Molecular Biology 1.9k
- Ecology 572
- Endocrinology 93
- Cancer Research 143
Countries citing papers authored by Keith E. Shearwin
This map shows the geographic impact of Keith E. Shearwin'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 Keith E. Shearwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith E. Shearwin more than expected).
Fields of papers citing papers by Keith E. Shearwin
This network shows the impact of papers produced by Keith E. Shearwin. 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 Keith E. Shearwin. The network helps show where Keith E. Shearwin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keith E. Shearwin, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 3 | |
| 10 | 2016 | 40 | |
| 11 | 2016 | 5 | |
| 12 | 2014 | 6 | |
| 13 | 2013 | 10 | |
| 14 | 2007 | 17 | |
| 15 | 2006 | 27 | |
| 16 | 2004 | 80 | |
| 17 | 2004 | 138 | |
| 18 | 1998 | 72 | |
| 19 | 1997 | 26 | |
| 20 | The influence of molecular crowding on the binding of glycolytic enzymes to cytoskeletal structure. | 1989 | 8 |
About Keith E. Shearwin
Keith E. Shearwin is a scholar working on Genetics, Molecular Biology and Ecology, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (30 papers), RNA and protein synthesis mechanisms (25 papers), Bacteriophages and microbial interactions (23 papers), Genomics and Chromatin Dynamics (12 papers), Protein Structure and Dynamics (11 papers), CRISPR and Genetic Engineering (10 papers), DNA and Nucleic Acid Chemistry (8 papers) and Enzyme Structure and Function (8 papers). The work is most often cited by research in Genetics (863 citations), Molecular Biology (1.9k citations) and Ecology (572 citations). Keith E. Shearwin has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include J. Barry Egan, Ian B. Dodd, John T. Egan, Adam C. Palmer, Nan Hao, Donald J. Winzor, Lun Cui, David G. Priest, Serge N. Timasheff and Tom Burr. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Biochemistry, Archives of Biochemistry and Biophysics and Transcription.
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.