Sarah Burke

847 total citations
27 papers, 605 citations indexed

About

Sarah Burke is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Neurology. According to data from OpenAlex, Sarah Burke has authored 27 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Neurology. Recurrent topics in Sarah Burke's work include BRCA gene mutations in cancer (7 papers), Genomics and Rare Diseases (6 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Sarah Burke is often cited by papers focused on BRCA gene mutations in cancer (7 papers), Genomics and Rare Diseases (6 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Sarah Burke collaborates with scholars based in United Kingdom, United States and Sweden. Sarah Burke's co-authors include Karen M. Collins, Maggie Kirk, Peter Farndon, Helena D. Cooper–Thomas, Hywel Thomas, Anna Stone, Benzi M. Kluger, Mingzhou Ding, Julie Bedward and Melissa Martyn and has published in prestigious journals such as Neurobiology of Aging, Journal of Advanced Nursing and BMC Health Services Research.

In The Last Decade

Sarah Burke

26 papers receiving 557 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarah Burke United Kingdom 14 146 133 109 76 75 27 605
Peter B. Barr United States 19 155 1.1× 13 0.1× 137 1.3× 61 0.8× 154 2.1× 64 867
P. J. O'Connor United States 14 83 0.6× 103 0.8× 20 0.2× 93 1.2× 37 0.5× 29 964
Ronald M. Green United States 14 28 0.2× 13 0.1× 70 0.6× 52 0.7× 88 1.2× 72 619
Mary E. Shoemaker United States 12 194 1.3× 10 0.1× 129 1.2× 85 1.1× 44 0.6× 17 899
Patricia Clark Smith United States 7 145 1.0× 15 0.1× 135 1.2× 97 1.3× 59 0.8× 13 555
Danielle L. Pfaff United States 9 10 0.1× 166 1.2× 49 0.4× 46 0.6× 110 1.5× 9 588
Sophie Leroy United States 10 82 0.6× 30 0.2× 194 1.8× 5 0.1× 176 2.3× 14 735
Maria Jansson Sweden 14 138 0.9× 108 0.8× 6 0.1× 50 0.7× 103 1.4× 64 607
Stéphanie Fox Canada 12 28 0.2× 10 0.1× 63 0.6× 30 0.4× 75 1.0× 26 758

Countries citing papers authored by Sarah Burke

Since Specialization
Citations

This map shows the geographic impact of Sarah Burke'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 Sarah Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Burke more than expected).

Fields of papers citing papers by Sarah Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Burke. 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 Sarah Burke. The network helps show where Sarah Burke may publish in the future.

Co-authorship network of co-authors of Sarah Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Burke. A scholar is included among the top collaborators of Sarah Burke 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 Sarah Burke. Sarah Burke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Min, Sarah Burke, Christopher A. Olm, et al.. (2023). Antemortem network analysis of spreading pathology in autopsy-confirmed frontotemporal degeneration. Brain Communications. 5(3). fcad147–fcad147. 2 indexed citations
2.
Burke, Sarah, Jeffrey S. Phillips, Christopher A. Olm, et al.. (2022). Phases of volume loss in patients with known frontotemporal lobar degeneration spectrum pathology. Neurobiology of Aging. 113. 95–107. 6 indexed citations
3.
Olm, Christopher A., Sarah Burke, Claire Peterson, et al.. (2022). Event-based modeling of T1-weighted MRI is related to pathology in frontotemporal lobar degeneration due to tau and TDP. NeuroImage Clinical. 37. 103285–103285. 2 indexed citations
4.
Burke, Sarah, et al.. (2021). Genetic counselor approaches to BRCA1/2 direct‐to‐consumer genetic testing results. Journal of Genetic Counseling. 30(3). 803–812. 3 indexed citations
5.
Cousins, Katheryn A Q, Jeffrey S. Phillips, David J. Irwin, et al.. (2020). ATN incorporating cerebrospinal fluid neurofilament light chain detects frontotemporal lobar degeneration. Alzheimer s & Dementia. 17(5). 822–830. 24 indexed citations
6.
Kluger, Benzi M., Qing Zhao, Jared J. Tanner, et al.. (2019). Structural brain correlates of fatigue in older adults with and without Parkinson's disease. NeuroImage Clinical. 22. 101730–101730. 29 indexed citations
7.
Burke, Sarah, Immanuel Babu Henry Samuel, Qing Zhao, et al.. (2018). Task-Based Cognitive Fatigability for Older Adults and Validation of Mental Fatigability Subscore of Pittsburgh Fatigability Scale. Frontiers in Aging Neuroscience. 10. 26 indexed citations
8.
Burke, Sarah, et al.. (2017). 2210. Journal of Clinical and Translational Science. 1(S1). 59–59. 1 indexed citations
9.
Burke, Sarah, et al.. (2015). The reliability of the cervical relocation test on people with and without a history of neck pain. Journal of Manual & Manipulative Therapy. 24(4). 210–214. 13 indexed citations
10.
Burke, Sarah, et al.. (2011). Developing education tailored to clinical roles: Genetics education for haemophilia nurses. Nurse Education Today. 32(1). 52–56. 13 indexed citations
11.
Burke, Sarah, et al.. (2010). A toolkit for incorporating genetics into mainstream medical services: Learning from service development pilots in England. BMC Health Services Research. 10(1). 125–125. 21 indexed citations
12.
Burke, Sarah, Melissa Martyn, Hywel Thomas, & Peter Farndon. (2009). The development of core learning outcomes relevant to clinical practice: identifying priority areas for genetics education for non-genetics specialist registrars. Clinical Medicine. 9(1). 49–52. 14 indexed citations
13.
Burke, Sarah, Melissa Martyn, Anna Stone, et al.. (2009). Developing a curriculum statement based on clinical practice: genetics in primary care. British Journal of General Practice. 59(559). 99–103. 25 indexed citations
14.
Bullock, Alison, et al.. (2009). Sustained Continuing Education: How a Masters Programme Makes a Difference to Primary Care Dentists. Dental Update. 36(6). 358–364. 1 indexed citations
15.
Kirk, Maggie, Emma Tonkin, & Sarah Burke. (2007). Engaging Nurses in Genetics: The Strategic Approach of the NHS National Genetics Education and Development Centre. Journal of Genetic Counseling. 17(2). 180–188. 20 indexed citations
16.
Burke, Sarah, et al.. (2007). Dietitians' views of the importance of genetics to dietetic practice: the impact of education. 3 indexed citations
17.
Burke, Sarah, Anna Stone, Julie Bedward, Hywel Thomas, & Peter Farndon. (2006). A “neglected part of the curriculum” or “of limited use”? Views on genetics training by nongenetics medical trainees and implications for delivery. Genetics in Medicine. 8(2). 109–115. 39 indexed citations
18.
Davison, Ian, et al.. (2006). Evaluation of a pilot careers advice service for junior doctors. Medical Teacher. 28(6). 561–563. 9 indexed citations
19.
Burke, Sarah & Maggie Kirk. (2006). Genetics education in the nursing profession: literature review. Journal of Advanced Nursing. 54(2). 228–237. 41 indexed citations
20.
Bullock, Alison, Sarah Burke, & David Wall. (2004). Curriculum and assessment in higher specialist training. Medical Teacher. 26(2). 174–177. 3 indexed citations

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.

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