Michael Dalrymple
Impact in
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- Animal Genetics and Reproduction
- Virus-based gene therapy research
- Building and Construction top 10%
- Building Energy and Comfort Optimization
- Sustainable Building Design and Assessment
Papers in
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- CRISPR and Genetic Engineering 4
- Genetics 5
- Animal Genetics and Reproduction 4
- Virus-based gene therapy research 3
- Co-authors
- Ian Garner (4 shared papers)Stevan Earl (1 shared paper)Jing Liang (1 shared paper)Yueming Qiu (1 shared paper)Benjamin L. Ruddell (1 shared paper)J. David Barrass (2 shared papers)Alan Colman (2 shared papers)G Lasser (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)Histochemistry and Cell Biology (1 paper)Mammalian Genome (1 paper)Biotechnology and Genetic Engineering Reviews (1 paper)Journal of Environmental Economics and Management (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Michael Dalrymple
11 papers receiving 275 citations
Peers
Comparison fields: 5 of 78
- Genetics 122
- Building and Construction 59
- Biotechnology 19
- Renewable Energy, Sustainability and the Environment 36
- Molecular Biology 121
Countries citing papers authored by Michael Dalrymple
This map shows the geographic impact of Michael Dalrymple'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 Dalrymple with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Dalrymple more than expected).
Fields of papers citing papers by Michael Dalrymple
This network shows the impact of papers produced by Michael Dalrymple. 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 Dalrymple. The network helps show where Michael Dalrymple may publish in the future.
Co-authors
The 23 scholars most cited alongside Michael Dalrymple, 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 | 2017 | 81 | |
| 2 | 1993 | 74 | |
| 3 | 1996 | 43 | |
| 4 | 1992 | 31 | |
| 5 | 2006 | 16 | |
| 6 | 1998 | 13 | |
| 7 | 1998 | 13 | |
| 8 | 2018 | 12 | |
| 9 | 1993 | 7 | |
| 10 | 1996 | 3 | |
| 11 | 2017 | 2 |
About Michael Dalrymple
Michael Dalrymple is a scholar working on Molecular Biology, Genetics, Strategy and Management, Environmental Chemistry and Industrial and Manufacturing Engineering, having authored 11 papers that have together received 295 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (4 papers), CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (3 papers), Sustainable Supply Chain Management (2 papers), Sustainable Industrial Ecology (2 papers), Chemistry and Chemical Engineering (2 papers), Energy Efficiency and Management (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Genetics (122 citations), Building and Construction (59 citations), Biotechnology (19 citations), Renewable Energy, Sustainability and the Environment (36 citations) and Molecular Biology (121 citations). Michael Dalrymple has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Ian Garner, Stevan Earl, Jing Liang, Yueming Qiu, Benjamin L. Ruddell, J. David Barrass, Alan Colman, G Lasser, Ian Cottingham and Paul D. Bishop. Their work appears in journals such as Nature Biotechnology, Histochemistry and Cell Biology, Mammalian Genome, Biotechnology and Genetic Engineering Reviews and Journal of Environmental Economics and Management.
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.