Ken Abremski
Impact in
- Genetics top 2%
- Bacterial Genetics and Biotechnology
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- DNA Repair Mechanisms
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Photosynthetic Processes and Mechanisms 4
- RNA and protein synthesis mechanisms 4
- DNA and Nucleic Acid Chemistry 3
- DNA Repair Mechanisms 2
- Fungal and yeast genetics research 2
- Diffusion and Search Dynamics 1
- Genetics 12
- Bacterial Genetics and Biotechnology 12
- Co-authors
- R H Hoess (9 shared papers)Nat Sternberg (3 shared papers)Susan Gottesman (3 shared papers)Anna Wierzbicki (2 shared papers)Daniel L. Hamilton (1 shared paper)Elisabeth Haggård‐Ljungquist (1 shared paper)Michael L. Kahn (1 shared paper)Arthur Landy (1 shared paper)
- Journals
- Journal of Molecular Biology (4 papers)Journal of Biological Chemistry (3 papers)Proceedings of the National Academy of Sciences (2 papers)Gene (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Ken Abremski
13 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 87
- Genetics 855
- Molecular Biology 1.5k
- Ecology 467
- Endocrinology 61
- Biotechnology 81
Countries citing papers authored by Ken Abremski
This map shows the geographic impact of Ken Abremski'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 Ken Abremski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Abremski more than expected).
Fields of papers citing papers by Ken Abremski
This network shows the impact of papers produced by Ken Abremski. 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 Ken Abremski. The network helps show where Ken Abremski may publish in the future.
Co-authors
The 15 scholars most cited alongside Ken Abremski, 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 | 1986 | 435 | |
| 2 | 1984 | 271 | |
| 3 | 1983 | 267 | |
| 4 | 1984 | 143 | |
| 5 | 1986 | 137 | |
| 6 | 1987 | 119 | |
| 7 | 1984 | 97 | |
| 8 | 1982 | 84 | |
| 9 | 1986 | 64 | |
| 10 | 1981 | 53 | |
| 11 | 1984 | 46 | |
| 12 | 1983 | 16 | |
| 13 | 1980 | 16 |
About Ken Abremski
Ken Abremski is a scholar working on Molecular Biology, Genetics, Ecology, Biomedical Engineering and Infectious Diseases, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Bacteriophages and microbial interactions (8 papers), Photosynthetic Processes and Mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (3 papers), DNA Repair Mechanisms (2 papers), Fungal and yeast genetics research (2 papers) and Diffusion and Search Dynamics (1 paper). The work is most often cited by research in Genetics (855 citations), Molecular Biology (1.5k citations), Ecology (467 citations), Endocrinology (61 citations) and Biotechnology (81 citations). Ken Abremski has collaborated with scholars based in United States. Frequent co-authors include R H Hoess, Nat Sternberg, Susan Gottesman, Anna Wierzbicki, Daniel L. Hamilton, Elisabeth Haggård‐Ljungquist, Michael L. Kahn, Arthur Landy, J. Barry Egan and Patrick Argos. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Gene and The EMBO Journal.
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.