Debbie Williams
Impact in
- Otorhinolaryngology top 5%
- Ear Surgery and Otitis Media
- Parasitology top 5%
- Parasites and Host Interactions
Papers in
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- Muscle Physiology and Disorders 3
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- Ear Surgery and Otitis Media 5
- Co-authors
- Daniel T. Grimes (3 shared papers)Pam Siggers (2 shared papers)Michael Cheeseman (6 shared papers)Andy Greenfield (3 shared papers)Sara Wells (4 shared papers)Karl F. Hoffmann (1 shared paper)Jennifer M. Fitzpatrick (1 shared paper)Tom C. Freeman (2 shared papers)
- Journals
- Human Molecular Genetics (4 papers)PLoS Genetics (3 papers)Disease Models & Mechanisms (2 papers)Journal of the European Academy of Dermatology and Venereology (2 papers)Mammalian Genome (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Debbie Williams
28 papers receiving 681 citations
Peers
Comparison fields: 5 of 91
- Otorhinolaryngology 80
- Parasitology 74
- Aging 16
- Genetics 247
- Virology 23
Countries citing papers authored by Debbie Williams
This map shows the geographic impact of Debbie Williams'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 Debbie Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debbie Williams more than expected).
Fields of papers citing papers by Debbie Williams
This network shows the impact of papers produced by Debbie Williams. 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 Debbie Williams. The network helps show where Debbie Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Debbie Williams, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 104 | |
| 2 | 2005 | 90 | |
| 3 | 2009 | 79 | |
| 4 | 2011 | 53 | |
| 5 | 2019 | 45 | |
| 6 | 2016 | 45 | |
| 7 | 1998 | 44 | |
| 8 | 2014 | 25 | |
| 9 | 2017 | 24 | |
| 10 | 2016 | 22 | |
| 11 | 2015 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2014 | 15 | |
| 14 | 2011 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2009 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2006 | 11 | |
| 19 | 2018 | 8 | |
| 20 | 1994 | 7 |
About Debbie Williams
Debbie Williams is a scholar working on Molecular Biology, Otorhinolaryngology, Genetics, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 692 indexed citations. Recurring topics across this work include Ear Surgery and Otitis Media (5 papers), Genetic and Kidney Cyst Diseases (3 papers), Muscle Physiology and Disorders (3 papers), Cardiomyopathy and Myosin Studies (2 papers), Genetic Syndromes and Imprinting (2 papers), HIV-related health complications and treatments (2 papers), Syphilis Diagnosis and Treatment (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Otorhinolaryngology (80 citations), Parasitology (74 citations), Aging (16 citations), Genetics (247 citations) and Virology (23 citations). Debbie Williams has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Daniel T. Grimes, Pam Siggers, Michael Cheeseman, Andy Greenfield, Sara Wells, Karl F. Hoffmann, Jennifer M. Fitzpatrick, Tom C. Freeman, David A. Johnston and David W. Dunne. Their work appears in journals such as Human Molecular Genetics, PLoS Genetics, Disease Models & Mechanisms, Journal of the European Academy of Dermatology and Venereology and Mammalian Genome.
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.