Andrew Dodd
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Physiology top 5%
Papers in ⓘ
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- Metabolism and Genetic Disorders 4
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- Osteoarthritis Treatment and Mechanisms 6
- Co-authors
- Donald R. Love (14 shared papers)Warren C. McNabb (2 shared papers)Daniel Lai (1 shared paper)Rongying Tang (1 shared paper)Franz B. Pichler (3 shared papers)Brent R. Copp (3 shared papers)Stephen P. Chambers (5 shared papers)John Loughlin (8 shared papers)
- Journals
- Osteoarthritis and Cartilage (5 papers)Human Mutation (2 papers)Biochemical and Biophysical Research Communications (2 papers)Blood (1 paper)Biotechnology and Genetic Engineering Reviews (1 paper)
- Partner nations
- New ZealandUnited KingdomSpain
In The Last Decade
Andrew Dodd
28 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cell Biology 377
- Physiology 74
- Aging 21
- Molecular Biology 730
- Genetics 249
Countries citing papers authored by Andrew Dodd
This map shows the geographic impact of Andrew Dodd'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 Andrew Dodd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Dodd more than expected).
Fields of papers citing papers by Andrew Dodd
This network shows the impact of papers produced by Andrew Dodd. 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 Andrew Dodd. The network helps show where Andrew Dodd may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Dodd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Validation of Zebrafish (<italic>Danio rerio</italic>) Reference Genes for Quantitative Real-time RT-PCR Normalization Hit paper breakdown → | 2007 | 528 |
| 2 | 2008 | 141 | |
| 3 | 2003 | 131 | |
| 4 | 2000 | 114 | |
| 5 | 2004 | 84 | |
| 6 | 2004 | 69 | |
| 7 | 2001 | 36 | |
| 8 | 2012 | 36 | |
| 9 | 2010 | 32 | |
| 10 | 1997 | 31 | |
| 11 | 2012 | 26 | |
| 12 | 2013 | 25 | |
| 13 | 2011 | 19 | |
| 14 | 2003 | 18 | |
| 15 | 2009 | 14 | |
| 16 | 2011 | 11 | |
| 17 | 2007 | 10 | |
| 18 | 2009 | 10 | |
| 19 | 1996 | 6 | |
| 20 | 2009 | 6 |
About Andrew Dodd
Andrew Dodd is a scholar working on Clinical Biochemistry, Rheumatology, Cell Biology, Molecular Biology and Genetics, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (6 papers), Zebrafish Biomedical Research Applications (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Metabolism and Genetic Disorders (4 papers), Inflammatory mediators and NSAID effects (4 papers), Animal Genetics and Reproduction (4 papers), RNA Research and Splicing (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Cell Biology (377 citations), Physiology (74 citations), Aging (21 citations), Molecular Biology (730 citations) and Genetics (249 citations). Andrew Dodd has collaborated with scholars based in New Zealand, United Kingdom and Spain. Frequent co-authors include Donald R. Love, Warren C. McNabb, Daniel Lai, Rongying Tang, Franz B. Pichler, Brent R. Copp, Stephen P. Chambers, John Loughlin, Sophie Laurenson and Liam Williams. Their work appears in journals such as Osteoarthritis and Cartilage, Human Mutation, Biochemical and Biophysical Research Communications, Blood and Biotechnology and Genetic Engineering Reviews.
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.