R.H. Don
- Pollution top 1%
- Microbial bioremediation and biosurfactants 4
- Genetics top 2%
- Molecular Biology top 5%
- Microbial metabolism and enzyme function 3
- Microbial Metabolic Engineering and Bioproduction 2
- CRISPR and Genetic Engineering 2
- Molecular Biology Techniques and Applications 2
- Ecology top 5%
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity 2
- Enzyme-mediated dye degradation 1
- Nematode management and characterization studies 1
- Co-authors
- John S. MattickPeter CoxBrandon J. WainwrightJohn PembertonKenneth N. TimmisHans‐Joachim KnackmussAndrew J. WeightmanDietmar H. Pieper
- Cited by
- PollutionGeneticsMolecular Biology
- Partner nations
- AustraliaSwitzerland
In The Last Decade
R.H. Don
11 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Pollution 720
- Genetics 761
- Molecular Biology 1.5k
- Ecology 525
- Plant Science 614
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-authorship network
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 | 1999 | 17 | |
| 2 | 1994 | 11 | |
| 3 | 1993 | 12 | |
| 4 | ‘Touchdown’ PCR to circumvent spurious priming during gene amplificationbreakdown → | 1991 | 2253 |
| 5 | 1985 | 51 | |
| 6 | 1985 | 133 | |
| 7 | 1985 | 239 | |
| 8 | Transposon Mutagenesis andCloning Analysis ofthePathways for Degradation of2,4-Dichlorophenoxyacetic Acidand 3-Chlorobenzoate inAlcaligenes eutrophus JMP134(pJP4) | 1985 | 12 |
| 9 | 1984 | 16 | |
| 10 | 1981 | 5 | |
| 11 | 1981 | 438 |
About R.H. Don
R.H. Don is a scholar working on Pollution, Molecular Biology and Plant Science, 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), Microbial Metabolic Engineering and Bioproduction (2 papers), CRISPR and Genetic Engineering (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Molecular Biology Techniques and Applications (2 papers), Enzyme-mediated dye degradation (1 paper) and Nematode management and characterization studies (1 paper). The work is most often cited by research in Pollution (720 citations), Genetics (761 citations) and Molecular Biology (1.5k citations). R.H. Don has collaborated with scholars based in Australia and Switzerland. 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 Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression.
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.