Mark D. McDowall
Impact in
-
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
Papers in
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- Bioinformatics and Genomic Networks 4
- Microbial Metabolic Engineering and Bioproduction 2
- Fungal and yeast genetics research 2
- Protein Structure and Dynamics 1
- Biomedical Text Mining and Ontologies 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Geoffrey J. Barton (3 shared papers)Michelle S Scott (2 shared papers)Stephen G. Oliver (3 shared papers)Kim Rutherford (3 shared papers)Valerie Wood (3 shared papers)Paul Kersey (3 shared papers)D. Staines (3 shared papers)François‐Michel Boisvert (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)Science (1 paper)Trends in biotechnology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Mark D. McDowall
8 papers receiving 668 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 550
- Cell Biology 68
- Aging 6
- Plant Science 85
- Computational Theory and Mathematics 34
Countries citing papers authored by Mark D. McDowall
This map shows the geographic impact of Mark D. McDowall'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 Mark D. McDowall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. McDowall more than expected).
Fields of papers citing papers by Mark D. McDowall
This network shows the impact of papers produced by Mark D. McDowall. 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 Mark D. McDowall. The network helps show where Mark D. McDowall may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark D. McDowall, 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 | 2011 | 232 | |
| 2 | 2008 | 173 | |
| 3 | 2010 | 146 | |
| 4 | 2014 | 61 | |
| 5 | 2015 | 31 | |
| 6 | 2014 | 22 | |
| 7 | 2010 | 6 | |
| 8 | 1963 | 3 |
About Mark D. McDowall
Mark D. McDowall is a scholar working on Molecular Biology, Computational Theory and Mathematics, Food Science, Pharmacology and Plant Science, having authored 8 papers that have together received 674 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Fermentation and Sensory Analysis (2 papers), Computational Drug Discovery Methods (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Fungal and yeast genetics research (2 papers), Protein Structure and Dynamics (1 paper), Plant-Microbe Interactions and Immunity (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Molecular Biology (550 citations), Cell Biology (68 citations), Aging (6 citations), Plant Science (85 citations) and Computational Theory and Mathematics (34 citations). Mark D. McDowall has collaborated with scholars based in United Kingdom. Frequent co-authors include Geoffrey J. Barton, Michelle S Scott, Stephen G. Oliver, Kim Rutherford, Valerie Wood, Paul Kersey, D. Staines, François‐Michel Boisvert, Michelle S. Scott and Angus I. Lamond. Their work appears in journals such as Nucleic Acids Research, Science, Trends in biotechnology and BMC Bioinformatics.
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.