John Donch
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
-
- DNA Repair Mechanisms
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in
-
- DNA Repair Mechanisms 10
- DNA and Nucleic Acid Chemistry 5
- CRISPR and Genetic Engineering 3
- Genetics 17
- Bacterial Genetics and Biotechnology 15
- Evolution and Genetic Dynamics 5
- Co-authors
- Joseph Greenberg (24 shared papers)Michael H.L. Green (8 shared papers)Joel W. Goodman (2 shared papers)Young Sup Chung (6 shared papers)J. Greenberg (3 shared papers)David W. Mount (2 shared papers)Ben F. Johnson (1 shared paper)Guylyn Warren (1 shared paper)
- Journals
- Genetics Research (10 papers)Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis (8 papers)Journal of Bacteriology (2 papers)The Journal of Immunology (1 paper)Genetics (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
John Donch
30 papers receiving 447 citations
Peers
Comparison fields: 5 of 67
- Genetics 301
- Molecular Biology 471
- Endocrinology 35
- Molecular Medicine 24
- Ecology 112
Countries citing papers authored by John Donch
This map shows the geographic impact of John Donch'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 John Donch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Donch more than expected).
Fields of papers citing papers by John Donch
This network shows the impact of papers produced by John Donch. 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 John Donch. The network helps show where John Donch may publish in the future.
Co-authors
The 9 scholars most cited alongside John Donch, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1968 | 59 | |
| 2 | 1965 | 54 | |
| 3 | 1968 | 49 | |
| 4 | 1968 | 48 | |
| 5 | 1970 | 42 | |
| 6 | 1974 | 41 | |
| 7 | 1969 | 41 | |
| 8 | 1969 | 35 | |
| 9 | 1968 | 31 | |
| 10 | 1974 | 29 | |
| 11 | 1974 | 22 | |
| 12 | 1971 | 17 | |
| 13 | 1971 | 16 | |
| 14 | 1975 | 14 | |
| 15 | 1970 | 14 | |
| 16 | 1974 | 14 | |
| 17 | 1970 | 12 | |
| 18 | 1964 | 11 | |
| 19 | 1975 | 8 | |
| 20 | 1968 | 8 |
About John Donch
John Donch is a scholar working on Molecular Biology, Genetics, Ecology, Endocrinology and Plant Science, having authored 31 papers that have together received 617 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (15 papers), DNA Repair Mechanisms (10 papers), Bacteriophages and microbial interactions (8 papers), Evolution and Genetic Dynamics (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Escherichia coli research studies (5 papers), CRISPR and Genetic Engineering (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Genetics (301 citations), Molecular Biology (471 citations), Endocrinology (35 citations), Molecular Medicine (24 citations) and Ecology (112 citations). John Donch has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Joseph Greenberg, Michael H.L. Green, Joel W. Goodman, Young Sup Chung, J. Greenberg, David W. Mount, Ben F. Johnson, Guylyn Warren and Claude Hamelin. Their work appears in journals such as Genetics Research, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, Journal of Bacteriology, The Journal of Immunology 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.