Sue Povey
- Genetics top 1%
- Genomic variations and chromosomal abnormalities 22
- Genomics and Rare Diseases 8
- Genetics and Neurodevelopmental Disorders 7
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 11
- Genomics and Phylogenetic Studies 7
- Immunology top 5%
- Physiology top 5%
- Tuberous Sclerosis Complex Research 12
- Nephrology top 5%
-
- Chromosomal and Genetic Variations 9
-
- Polyomavirus and related diseases 8
- Co-authors
- Michael LushElspeth A. BrufordMatt W. WrightHester WainRuth C. LoveringRosemary EkongL. F. WESTC. Conover Talbot
- Cited by
- GeneticsMolecular BiologyImmunology
- Journals
- Nature (2 papers)Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Sue Povey
125 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Genetics 1.3k
- Molecular Biology 2.8k
- Immunology 841
- Physiology 635
- Nephrology 164
Countries citing papers authored by Sue Povey
This map shows the geographic impact of Sue Povey'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 Povey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Povey more than expected).
Fields of papers citing papers by Sue Povey
This network shows the impact of papers produced by Sue Povey. 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 Povey. The network helps show where Sue Povey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sue Povey, 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 | 2014 | 1 | |
| 2 | 2011 | 34 | |
| 3 | 2005 | 31 | |
| 4 | Gene map of the extended humanMHCbreakdown → | 2004 | 820 |
| 5 | 2002 | 16 | |
| 6 | 1999 | 97 | |
| 7 | 1999 | 6 | |
| 8 | 1997 | 25 | |
| 9 | 1997 | 14 | |
| 10 | 1996 | 2 | |
| 11 | 1994 | 196 | |
| 12 | 1994 | 7 | |
| 13 | 1990 | 114 | |
| 14 | 1990 | 14 | |
| 15 | 1989 | 0 | |
| 16 | 1989 | 1 | |
| 17 | 1988 | 29 | |
| 18 | 1988 | 17 | |
| 19 | 1978 | 2 | |
| 20 | 1976 | 6 |
About Sue Povey
Sue Povey is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 126 papers that have together received 5.6k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (22 papers), Tuberous Sclerosis Complex Research (12 papers), Genomics and Chromatin Dynamics (11 papers), Chromosomal and Genetic Variations (9 papers), Genomics and Rare Diseases (8 papers), Polyomavirus and related diseases (8 papers), Genomics and Phylogenetic Studies (7 papers) and Genetics and Neurodevelopmental Disorders (7 papers). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (2.8k citations) and Immunology (841 citations). Sue Povey has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Michael Lush, Elspeth A. Bruford, Matt W. Wright, Hester Wain, Ruth C. Lovering, Rosemary Ekong, L. F. WEST, C. Conover Talbot, Stephan Beck and Andreas Ziegler. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.