Sue Murray
Impact in
- Genetics top 10%
- Neurogenetic and Muscular Disorders Research
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- Muscle Physiology and Disorders
Papers in
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- Reflective Practices in Education 7
- Evaluation of Teaching Practices 3
- Genetics 4
- Co-authors
- Shuling Guo (6 shared papers)Brett P. Monia (4 shared papers)Raechel Q. Peralta (4 shared papers)Gene Hung (4 shared papers)Audrey Low (5 shared papers)Thazha P. Prakash (3 shared papers)Susi Peacock (7 shared papers)Punit P. Seth (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Cell Reports (2 papers)The Medical Journal of Australia (2 papers)Blood (2 papers)Diabetes (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Sue Murray
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Genetics 112
- Molecular Biology 693
- Cellular and Molecular Neuroscience 153
- Cell Biology 100
- Epidemiology 187
Countries citing papers authored by Sue Murray
This map shows the geographic impact of Sue Murray'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 Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Murray more than expected).
Fields of papers citing papers by Sue Murray
This network shows the impact of papers produced by Sue Murray. 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 Murray. The network helps show where Sue Murray may publish in the future.
Co-authors
The 25 scholars most cited alongside Sue Murray, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 182 | |
| 2 | 2003 | 156 | |
| 3 | 2014 | 141 | |
| 4 | 2019 | 127 | |
| 5 | 2013 | 113 | |
| 6 | 2004 | 88 | |
| 7 | 2019 | 84 | |
| 8 | 2012 | 81 | |
| 9 | 2020 | 76 | |
| 10 | 2021 | 55 | |
| 11 | 2002 | 42 | |
| 12 | 2009 | 34 | |
| 13 | The Transformative Role of ePortfolios: Feedback in Healthcare Learning | 2011 | 26 |
| 14 | 2019 | 25 | |
| 15 | 2024 | 20 | |
| 16 | 2012 | 19 | |
| 17 | 2024 | 18 | |
| 18 | 2014 | 16 | |
| 19 | 2023 | 16 | |
| 20 | Using feedback and ePortfolios to support professionalcompetence in healthcare learners | 2012 | 7 |
About Sue Murray
Sue Murray is a scholar working on Education, Genetics, Molecular Biology, Public Health, Environmental and Occupational Health and Biochemistry, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reflective Practices in Education (7 papers), RNA Interference and Gene Delivery (3 papers), Pancreatic function and diabetes (3 papers), Innovations in Medical Education (3 papers), Evaluation of Teaching Practices (3 papers), Kruppel-like factors research (2 papers), Innovative Teaching and Learning Methods (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (112 citations), Molecular Biology (693 citations), Cellular and Molecular Neuroscience (153 citations), Cell Biology (100 citations) and Epidemiology (187 citations). Sue Murray has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Shuling Guo, Brett P. Monia, Raechel Q. Peralta, Gene Hung, Audrey Low, Thazha P. Prakash, Susi Peacock, Punit P. Seth, Alfred E. Chappell and Eric E. Swayze. Their work appears in journals such as Nucleic Acids Research, Cell Reports, The Medical Journal of Australia, Blood and Diabetes.
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.