R.H. Don
Impact in
Papers in
-
- Microbial metabolism and enzyme function 3
- Microbial Metabolic Engineering and Bioproduction 2
- Molecular Biology Techniques and Applications 2
- CRISPR and Genetic Engineering 2
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- Microbial bioremediation and biosurfactants 4
- Pesticide and Herbicide Environmental Studies 1
- Co-authors
- John S. Mattick (4 shared papers)Peter Cox (2 shared papers)Brandon J. Wainwright (1 shared paper)John Pemberton (3 shared papers)Kenneth N. Timmis (3 shared papers)Hans‐Joachim Knackmuss (3 shared papers)Andrew J. Weightman (3 shared papers)Dietmar H. Pieper (1 shared paper)
- Journals
- Journal of Bacteriology (3 papers)Nucleic Acids Research (2 papers)Gene (1 paper)FEMS Microbiology Letters (1 paper)PubMed (1 paper)
- Partner nations
- AustraliaSwitzerlandGermany
In The Last Decade
R.H. Don
11 papers receiving 3.0k citations
R.H. Don's Hit Papers
Peers
Comparison fields: 5 of 136
- Pollution 720
- Genetics 741
- Molecular Biology 1.4k
- Ecology 515
- Plant Science 599
Countries citing papers authored by R.H. Don
This map shows the geographic impact of R.H. Don'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 R.H. Don with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.H. Don more than expected).
Fields of papers citing papers by R.H. Don
This network shows the impact of papers produced by R.H. Don. 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 R.H. Don. The network helps show where R.H. Don may publish in the future.
Co-authors
The 13 scholars most cited alongside R.H. Don, 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 | ‘Touchdown’ PCR to circumvent spurious priming during gene amplification Hit paper breakdown → | 1991 | 2256 |
| 2 | 1981 | 438 | |
| 3 | 1985 | 239 | |
| 4 | 1985 | 133 | |
| 5 | 1985 | 51 | |
| 6 | 1999 | 17 | |
| 7 | 1984 | 16 | |
| 8 | 1993 | 12 | |
| 9 | Transposon Mutagenesis andCloning Analysis ofthePathways for Degradation of2,4-Dichlorophenoxyacetic Acidand 3-Chlorobenzoate inAlcaligenes eutrophus JMP134(pJP4) | 1985 | 12 |
| 10 | 1994 | 11 | |
| 11 | 1981 | 5 |
About R.H. Don
R.H. Don is a scholar working on Molecular Biology, Pollution, Plant Science, Genetics and Health, Toxicology and Mutagenesis, having authored 11 papers that have together received 3.2k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (4 papers), Microbial metabolism and enzyme function (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Molecular Biology Techniques and Applications (2 papers), CRISPR and Genetic Engineering (2 papers), Pesticide and Herbicide Environmental Studies (1 paper) and Nematode management and characterization studies (1 paper). The work is most often cited by research in Pollution (720 citations), Genetics (741 citations), Molecular Biology (1.4k citations), Ecology (515 citations) and Plant Science (599 citations). R.H. Don has collaborated with scholars based in Australia, Switzerland and Germany. Frequent co-authors include John S. Mattick, Peter Cox, Brandon J. Wainwright, John Pemberton, Kenneth N. Timmis, Hans‐Joachim Knackmuss, Andrew J. Weightman, Dietmar H. Pieper, Karl‐Heinrich Engesser and Kevin J. Spring. Their work appears in journals such as Journal of Bacteriology, Nucleic Acids Research, Gene, FEMS Microbiology Letters and PubMed.
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.