Michael J. Danson
Impact in
- Biochemistry top 0.1%
- Biochemical Acid Research Studies
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders
Papers in
- Biochemistry 64
- Biochemical Acid Research Studies 42
- Amino Acid Enzymes and Metabolism 30
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- Metabolism and Genetic Disorders 28
- Co-authors
- David W. HoughRoy M. DanielRobert EisenthalG.L. TaylorRupert J. RussellMichelle E. PetersonRichard N. PerhamUrsula Gerike
- Journals
- Biochemical Journal (19 papers)FEBS Letters (14 papers)European Journal of Biochemistry (9 papers)Biochemical Society Transactions (7 papers)Extremophiles (7 papers)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
Michael J. Danson
145 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 141
- Biochemistry 1.3k
- Clinical Biochemistry 632
- Biotechnology 750
- Molecular Biology 3.9k
- Materials Chemistry 2.1k
Countries citing papers authored by Michael J. Danson
This map shows the geographic impact of Michael J. Danson'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 Michael J. Danson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Danson more than expected).
Fields of papers citing papers by Michael J. Danson
This network shows the impact of papers produced by Michael J. Danson. 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 Michael J. Danson. The network helps show where Michael J. Danson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael J. Danson, 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 | 2023 | 9 | |
| 2 | 2022 | 2 | |
| 3 | 2018 | 7 | |
| 4 | 2014 | 15 | |
| 5 | 2013 | 31 | |
| 6 | 2010 | 12 | |
| 7 | The equilibrium model for the effect of temperature on enzymes: Insights and implications | 2008 | 3 |
| 8 | 2005 | 56 | |
| 9 | 2004 | 17 | |
| 10 | 2004 | 63 | |
| 11 | Enzyme assays : a practical approach | 2002 | 126 |
| 12 | 2002 | 56 | |
| 13 | 2001 | 89 | |
| 14 | 1999 | 153 | |
| 15 | 1997 | 72 | |
| 16 | 1997 | 27 | |
| 17 | 1995 | 33 | |
| 18 | 1994 | 9 | |
| 19 | 1991 | 2 | |
| 20 | 1988 | 87 |
About Michael J. Danson
Michael J. Danson is a scholar working on Biochemistry, Clinical Biochemistry, Materials Chemistry, Biotechnology and Molecular Biology, having authored 147 papers that have together received 5.8k indexed citations. Recurring topics across this work include Enzyme Structure and Function (87 papers), Biochemical Acid Research Studies (42 papers), Protein Structure and Dynamics (39 papers), Biochemical and Molecular Research (32 papers), Amino Acid Enzymes and Metabolism (30 papers), Metabolism and Genetic Disorders (28 papers), Microbial Metabolic Engineering and Bioproduction (25 papers) and Enzyme Catalysis and Immobilization (16 papers). The work is most often cited by research in Biochemistry (1.3k citations), Clinical Biochemistry (632 citations), Biotechnology (750 citations), Molecular Biology (3.9k citations) and Materials Chemistry (2.1k citations). Michael J. Danson has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include David W. Hough, Roy M. Daniel, Robert Eisenthal, G.L. Taylor, Rupert J. Russell, Michelle E. Peterson, Richard N. Perham, Ursula Gerike, P.D.J. Weitzman and Henry J. Lamble. Their work appears in journals such as Biochemical Journal, FEBS Letters, European Journal of Biochemistry, Biochemical Society Transactions and Extremophiles.
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.