Sue Wood
- Toxicology top 0.5%
- Molecular Biology
- Pharmacology top 5%
- Computational Theory and Mathematics top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Elliot G. BrownClaire BudgeJenny CarryerMike PedlerSalvatore MinisolaAngela WilliamsDennis C. SmithAgnès Linglart
- Topics
- Pancreatic and Hepatic Oncology Research (1 paper)Education Discipline and Inequality (1 paper)Bone health and treatments (1 paper)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Sue Wood
12 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Toxicology 326
- Molecular Biology 202
- Pharmacology 172
- Computational Theory and Mathematics 141
- Pediatrics, Perinatology and Child Health 137
Countries citing papers authored by Sue Wood
This map shows the geographic impact of Sue Wood'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 Sue Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Wood more than expected).
Fields of papers citing papers by Sue Wood
This network shows the impact of papers produced by Sue Wood. 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 Sue Wood. The network helps show where Sue Wood may publish in the future.
Co-authorship network of co-authors of Sue Wood
This figure shows the co-authorship network connecting the top 25 collaborators of Sue Wood. A scholar is included among the top collaborators of Sue Wood based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sue Wood. Sue Wood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | Questioning for Meaning: Enhancing Questioning Strategies of Teacher Candidates through the Understanding by Design Approach. | 5 |
| 4 | 0 | |
| 5 | Streamlining orthopaedic nursing. | 0 |
| 6 | 3 | |
| 7 | 85 | |
| 8 | 1 | |
| 9 | Best practice for maintenance management of listed buildings | 2 |
| 10 | The Medical Dictionary for Regulatory Activities (MedDRA)breakdown → | 988 |
| 11 | Post occupancy evaluation of higher education buildings: A case study | 3 |
| 12 | 1 | |
| 13 | Teaching Children With Severe Learning Difficulties: A Radical Reappraisal | 13 |
| 14 | 12 |
About Sue Wood
Sue Wood is a scholar working on Research and Theory, Toxicology and Nephrology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (1 paper), Education Discipline and Inequality (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Toxicology (326 citations), Research and Theory (24 citations) and Pharmacology (172 citations). Sue Wood has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Elliot G. Brown, Claire Budge, Jenny Carryer, Mike Pedler, Salvatore Minisola, Angela Williams, Dennis C. Smith, Agnès Linglart, Vrinda Saraff and Fiona Glen. Their work appears in journals such as PLoS ONE, Journal of Advanced Nursing and Osteoporosis International.
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.