Sarah J Nevitt

7.3k total citations · 1 hit paper
158 papers, 4.6k citations indexed

About

Sarah J Nevitt is a scholar working on Pediatrics, Perinatology and Child Health, Psychiatry and Mental health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sarah J Nevitt has authored 158 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Pediatrics, Perinatology and Child Health, 57 papers in Psychiatry and Mental health and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sarah J Nevitt's work include Epilepsy research and treatment (51 papers), Pharmacological Effects and Toxicity Studies (49 papers) and Cystic Fibrosis Research Advances (19 papers). Sarah J Nevitt is often cited by papers focused on Epilepsy research and treatment (51 papers), Pharmacological Effects and Toxicity Studies (49 papers) and Cystic Fibrosis Research Advances (19 papers). Sarah J Nevitt collaborates with scholars based in United Kingdom, United States and Australia. Sarah J Nevitt's co-authors include Catrin Tudur Smith, Anthony G Marson, Jennifer Weston, Eric Robinson, Andrew Jones, Richard Newton, E. Boyland, Thomas Radtke, Bridget Kelly and Jason C. G. Halford and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Sarah J Nevitt

143 papers receiving 4.5k citations

Hit Papers

Advertising as a cue to consume: a systematic review and ... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah J Nevitt United Kingdom 40 1.3k 1.0k 734 632 479 158 4.6k
Hilary Watt United Kingdom 39 867 0.7× 859 0.9× 379 0.5× 294 0.5× 497 1.0× 93 5.4k
Carla Bann United States 43 841 0.7× 2.2k 2.2× 1.1k 1.5× 1.2k 1.8× 1.2k 2.5× 214 8.5k
M. Daniele Fallin United States 54 1.2k 0.9× 1.3k 1.3× 571 0.8× 583 0.9× 960 2.0× 199 10.0k
Pim Brouwers United States 46 740 0.6× 1.1k 1.1× 801 1.1× 645 1.0× 476 1.0× 114 5.8k
George F. Borm Netherlands 44 1.1k 0.9× 393 0.4× 765 1.0× 437 0.7× 298 0.6× 118 8.1k
Barbara Sperner‐Unterweger Austria 42 684 0.5× 718 0.7× 574 0.8× 510 0.8× 306 0.6× 152 5.0k
Kirsten M. Fiest Canada 44 3.0k 2.4× 1.6k 1.6× 739 1.0× 422 0.7× 1.0k 2.1× 221 9.1k
Linda J Lux United States 35 715 0.6× 700 0.7× 1.2k 1.7× 292 0.5× 633 1.3× 102 7.0k
Lorenzo Cohen United States 50 741 0.6× 1.4k 1.3× 1.2k 1.6× 1.2k 1.9× 1.0k 2.1× 254 9.4k
Elizabeth Thompson United Kingdom 39 502 0.4× 486 0.5× 374 0.5× 332 0.5× 312 0.7× 200 4.6k

Countries citing papers authored by Sarah J Nevitt

Since Specialization
Citations

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

Fields of papers citing papers by Sarah J Nevitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah J Nevitt

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah J Nevitt. A scholar is included among the top collaborators of Sarah J Nevitt 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 J Nevitt. Sarah J Nevitt 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.
Russo, Marc, Sarah J Nevitt, Danielle M. Santarelli, Sam Eldabe, & Rui Duarte. (2025). Systematic review and meta-analysis of conventional medical management in a patient population with refractory chronic pain suitable to receive a spinal cord stimulation system. Pain Medicine. 26(6). 337–347. 2 indexed citations
2.
Walton, Matthew, Mark Corbett, Sarah J Nevitt, et al.. (2025). The cost-effectiveness of enzyme replacement therapies versus best supportive care for treating late onset Pompe disease in the UK NHS. The European Journal of Health Economics.
3.
Fleeman, Nigel, Rachel Houten, Sarah J Nevitt, et al.. (2024). Lenvatinib plus pembrolizumab for untreated advanced renal cell carcinoma: a systematic review and cost-effectiveness analysis. Health Technology Assessment. 28(49). 1–190.
6.
Bresnahan, Rebecca, Rui Duarte, James Mahon, et al.. (2023). Diagnostic accuracy and clinical impact of MRI-based technologies for patients with non-alcoholic fatty liver disease: systematic review and economic evaluation. Health Technology Assessment. 27(10). 1–115. 4 indexed citations
7.
Bresnahan, Rebecca, Rachel Houten, J Greenhalgh, et al.. (2023). Pegcetacoplan for Treating Paroxysmal Nocturnal Haemoglobinuria: An Evidence Review Group Perspective of a NICE Single Technology Appraisal. PharmacoEconomics - Open. 7(4). 525–536.
8.
Eldabe, Sam, Sarah J Nevitt, Michelle Maden, et al.. (2023). Does industry funding and study location impact findings from randomized controlled trials of spinal cord stimulation? A systematic review and meta-analysis. Regional Anesthesia & Pain Medicine. 49(4). 272–284. 11 indexed citations
9.
Duarte, Rui, Sarah J Nevitt, Michelle Maden, et al.. (2022). Systematic Review and Network Meta-analysis of Neurostimulation for Painful Diabetic Neuropathy. Diabetes Care. 45(10). 2466–2475. 13 indexed citations
10.
Maishman, Tom, et al.. (2022). Statistical methods used to combine the effective reproduction number, R(t), and other related measures of COVID-19 in the UK. Statistical Methods in Medical Research. 31(9). 1757–1777. 17 indexed citations
12.
Kirthi, Varo, Paul Nderitu, Uazman Alam, et al.. (2021). Prevalence of retinopathy in prediabetes: protocol for a systematic review and meta-analysis. BMJ Open. 11(1). e040997–e040997. 7 indexed citations
13.
Nevitt, Sarah J, et al.. (2020). Mindfulness‐based cognitive therapy for prevention and time to depressive relapse: Systematic review and network meta‐analysis. Acta Psychiatrica Scandinavica. 143(1). 6–21. 42 indexed citations
14.
Eleftheriadou, Aikaterini, S. Williams, Sarah J Nevitt, et al.. (2020). The prevalence of cardiac autonomic neuropathy in prediabetes: a systematic review. Diabetologia. 64(2). 288–303. 39 indexed citations
16.
Southern, Kevin W, et al.. (2019). A systematic Cochrane Review of correctors (specific therapies for class II CFTR mutations) for cystic fibrosis. Paediatric Respiratory Reviews. 30. 25–26. 2 indexed citations
17.
Duarte, Rui, Angela Stainthorpe, J Greenhalgh, et al.. (2019). The clinical and cost effectiveness of lead-I electrocardiogram (ECG) devices for detecting atrial fibrillation using single-time point testing in primary care: a systematic review and economic evaluation. Health Technology Assessment. 1 indexed citations
18.
Nevitt, Sarah J, Judith Thornton, Clare Murray, & Tiffany Dwyer. (2018). Inhaledmannitol for cystic fibrosis (Review). Research Explorer (The University of Manchester). 1 indexed citations
19.
West, Siobhan, Sarah J Nevitt, & Richard Newton. (2016). Surgery for epilepsy: a systematic review of current evidence. Epileptic Disorders. 18(2). 113–121. 51 indexed citations
20.
Nevitt, Sarah J, Ian Hambleton, & Kerry Dwan. (2016). The Use and Reporting of the Cross-Over Study Design in Clinical Trials and Systematic Reviews: A Systematic Assessment. PLoS ONE. 11(7). e0159014–e0159014. 32 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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