Andrew W Dodd
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Physiology top 5%
Papers in
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- Osteoarthritis Treatment and Mechanisms 8
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- Zebrafish Biomedical Research Applications 7
- Co-authors
- Donald R. Love (13 shared papers)Warren Charles McNabb (2 shared papers)Rongying Tang (1 shared paper)Daniel Lai (1 shared paper)Franz B. Pichler (3 shared papers)Brent R. Copp (3 shared papers)John A. Loughlin (8 shared papers)Sophie X. Laurenson (1 shared paper)
- Journals
- Osteoarthritis and Cartilage (5 papers)Biochemical and Biophysical Research Communications (2 papers)Nature (2 papers)Biology Letters (1 paper)Nature Communications (1 paper)
- Partner nations
- New ZealandUnited KingdomSpain
In The Last Decade
Andrew W Dodd
29 papers receiving 1.6k citations
Andrew W Dodd's Hit Papers
Peers
Comparison fields: 5 of 82
- Cell Biology 203
- Physiology 43
- Clinical Biochemistry 33
- Aging 10
- Rheumatology 95
Countries citing papers authored by Andrew W Dodd
This map shows the geographic impact of Andrew W 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 W 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 W Dodd more than expected).
Fields of papers citing papers by Andrew W Dodd
This network shows the impact of papers produced by Andrew W 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 W Dodd. The network helps show where Andrew W Dodd may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew W 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 | 2007 | 546 | |
| 2 | 2008 | 148 | |
| 3 | 2003 | 135 | |
| 4 | 2000 | 127 | |
| 5 | GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 Hit paper breakdown → | 2023 | 125 |
| 6 | 2004 | 96 | |
| 7 | 2004 | 71 | |
| 8 | 2023 | 60 | |
| 9 | 2001 | 36 | |
| 10 | 2012 | 36 | |
| 11 | 2010 | 35 | |
| 12 | 1997 | 34 | |
| 13 | 2013 | 30 | |
| 14 | 2012 | 26 | |
| 15 | 2011 | 18 | |
| 16 | 2003 | 17 | |
| 17 | 2009 | 14 | |
| 18 | 2011 | 14 | |
| 19 | 2009 | 12 | |
| 20 | 2007 | 9 |
About Andrew W Dodd
Andrew W Dodd is a scholar working on Rheumatology, Cell Biology, Clinical Biochemistry, Molecular Biology and Genetics, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (8 papers), Zebrafish Biomedical Research Applications (7 papers), Metabolism and Genetic Disorders (3 papers), Muscle Physiology and Disorders (2 papers), Genetic Associations and Epidemiology (2 papers), RNA Interference and Gene Delivery (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Cell Biology (203 citations), Physiology (43 citations), Clinical Biochemistry (33 citations), Aging (10 citations) and Rheumatology (95 citations). Andrew W Dodd has collaborated with scholars based in New Zealand, United Kingdom and Spain. Frequent co-authors include Donald R. Love, Warren Charles McNabb, Rongying Tang, Daniel Lai, Franz B. Pichler, Brent R. Copp, John A. Loughlin, Sophie X. Laurenson, Liam C. Williams and Michael D. Hendy. Their work appears in journals such as Osteoarthritis and Cartilage, Biochemical and Biophysical Research Communications, Nature, Biology Letters and Nature Communications.
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.