Roy M. Daniel
- Biotechnology top 0.1%
- Enzyme Production and Characterization 62
- Molecular Biology top 1%
- Protein Structure and Dynamics 37
- Enzyme Catalysis and Immobilization 35
- Genomics and Phylogenetic Studies 20
- Microbial Metabolic Engineering and Bioproduction 16
- Ecology top 1%
- Microbial Community Ecology and Physiology 19
- Biochemistry top 2%
- Environmental Chemistry top 2%
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- Enzyme Structure and Function 43
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- Biofuel production and bioconversion 23
- Co-authors
- Huw MorganMichael J. DansonDon A. CowanJohn FinneyJeremy C. SmithHugh W. MorganTim CoolbearK. W. Steele
- Journals
- Biochemical Journal (22 papers)Annals of the New York Academy of Sciences (7 papers)Biophysical Journal (7 papers)
- Partner nations
- New ZealandUnited KingdomGermany
In The Last Decade
Roy M. Daniel
190 papers receiving 7.7k citations
Peers
Comparison fields: 5 of 160
- Biotechnology 1.8k
- Molecular Biology 4.7k
- Ecology 1.2k
- Biochemistry 271
- Environmental Chemistry 337
Countries citing papers authored by Roy M. Daniel
This map shows the geographic impact of Roy M. Daniel'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 Roy M. Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy M. Daniel more than expected).
Fields of papers citing papers by Roy M. Daniel
This network shows the impact of papers produced by Roy M. Daniel. 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 Roy M. Daniel. The network helps show where Roy M. Daniel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roy M. Daniel, 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 | The equilibrium model for the effect of temperature on enzymes: Insights and implications | 2008 | 3 |
| 2 | 2005 | 21 | |
| 3 | 2003 | 25 | |
| 4 | 2002 | 21 | |
| 5 | 2001 | 14 | |
| 6 | 2000 | 37 | |
| 7 | 1999 | 74 | |
| 8 | 1997 | 1 | |
| 9 | 1997 | 2 | |
| 10 | 1994 | 9 | |
| 11 | 1992 | 34 | |
| 12 | 1988 | 27 | |
| 13 | 1987 | 10 | |
| 14 | 1987 | 2 | |
| 15 | 1986 | 6 | |
| 16 | 1985 | 9 | |
| 17 | 1985 | 23 | |
| 18 | 1984 | 46 | |
| 19 | 1980 | 9 | |
| 20 | 1978 | 3 |
About Roy M. Daniel
Roy M. Daniel is a scholar working on Biotechnology, Molecular Biology and Biochemistry, having authored 190 papers that have together received 8.0k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (62 papers), Enzyme Structure and Function (43 papers), Protein Structure and Dynamics (37 papers), Enzyme Catalysis and Immobilization (35 papers), Biofuel production and bioconversion (23 papers), Genomics and Phylogenetic Studies (20 papers), Microbial Community Ecology and Physiology (19 papers) and Microbial Metabolic Engineering and Bioproduction (16 papers). The work is most often cited by research in Biotechnology (1.8k citations), Molecular Biology (4.7k citations) and Ecology (1.2k citations). Roy M. Daniel has collaborated with scholars based in New Zealand, United Kingdom and Germany. Frequent co-authors include Huw Morgan, Michael J. Danson, Don A. Cowan, John Finney, Jeremy C. Smith, Hugh W. Morgan, Tim Coolbear, K. W. Steele, Rachel V. Dunn and John Hudson. Their work appears in journals such as Biochemical Journal, Annals of the New York Academy of Sciences, Biophysical Journal, Systematic and Applied Microbiology and Biotechnology and Bioengineering.
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.