Jonathan Hewitt

7.3k total citations · 1 hit paper
109 papers, 3.7k citations indexed

About

Jonathan Hewitt is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Jonathan Hewitt has authored 109 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Geriatrics and Gerontology, 34 papers in Cardiology and Cardiovascular Medicine and 21 papers in Epidemiology. Recurrent topics in Jonathan Hewitt's work include Frailty in Older Adults (38 papers), Cardiac, Anesthesia and Surgical Outcomes (29 papers) and Stroke Rehabilitation and Recovery (15 papers). Jonathan Hewitt is often cited by papers focused on Frailty in Older Adults (38 papers), Cardiac, Anesthesia and Surgical Outcomes (29 papers) and Stroke Rehabilitation and Recovery (15 papers). Jonathan Hewitt collaborates with scholars based in United Kingdom, Italy and United States. Jonathan Hewitt's co-authors include Ben Carter, Kathryn McCarthy, Susan Moug, Can Hou, Lyndsay Pearce, Sharon Mayor, Christopher Oldroyd, Michael Stechman, Terry Quinn and Terence J. Quinn and has published in prestigious journals such as PLoS ONE, Diabetes Care and Stroke.

In The Last Decade

Jonathan Hewitt

105 papers receiving 3.6k citations

Hit Papers

Do Mobile Phone Applications Improve Glycemic Control (Hb... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Hewitt United Kingdom 34 898 882 853 484 438 109 3.7k
Carmelinda Ruggiero Italy 39 612 0.7× 628 0.7× 823 1.0× 1.0k 2.1× 571 1.3× 120 4.9k
Giuseppe Zuccalà Italy 33 620 0.7× 985 1.1× 583 0.7× 469 1.0× 503 1.1× 113 3.6k
Mario Bo Italy 27 375 0.4× 694 0.8× 663 0.8× 632 1.3× 353 0.8× 139 2.6k
Kathryn Richardson United Kingdom 32 338 0.4× 587 0.7× 769 0.9× 681 1.4× 710 1.6× 76 4.0k
Sascha Dublin United States 37 447 0.5× 1.6k 1.8× 518 0.6× 485 1.0× 767 1.8× 131 5.3k
Mauro Di Bari Italy 40 764 0.9× 1.7k 1.9× 1.1k 1.3× 1.7k 3.6× 569 1.3× 172 6.0k
Anette Hylen Ranhoff Norway 35 857 1.0× 1.2k 1.3× 832 1.0× 662 1.4× 273 0.6× 155 3.9k
Mary Ann Forciea United States 28 863 1.0× 963 1.1× 273 0.3× 635 1.3× 395 0.9× 44 6.8k
Wen‐Chih Wu United States 31 556 0.6× 1.6k 1.8× 255 0.3× 637 1.3× 444 1.0× 222 4.2k
Ingvild Saltvedt Norway 34 961 1.1× 757 0.9× 1.1k 1.3× 791 1.6× 516 1.2× 116 3.9k

Countries citing papers authored by Jonathan Hewitt

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Hewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Hewitt

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Hewitt. A scholar is included among the top collaborators of Jonathan Hewitt 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 Jonathan Hewitt. Jonathan Hewitt 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
2.
Verduri, Alessia, et al.. (2023). Frailty and its influence on mortality and morbidity in COPD: A Systematic Review and Meta-Analysis. Internal and Emergency Medicine. 18(8). 2423–2434. 21 indexed citations
3.
Verduri, Alessia, et al.. (2023). Frailty Prevalence and Association with Clinical Outcomes in Interstitial Lung Disease, Asthma, and Pleural Disease. Geriatrics. 8(4). 82–82. 6 indexed citations
4.
Braude, Philip, Kathryn McCarthy, Rebecca Strawbridge, et al.. (2022). Frailty is associated with poor mental health 1 year after hospitalisation with COVID-19. Journal of Affective Disorders. 310. 377–383. 10 indexed citations
5.
Holloway, Aisha, Colin Chandler, Jonathan Hewitt, et al.. (2021). Young Adults Rehabilitation Needs and Experiences following Stroke (YARNS): A review of digital accounts to inform the development of age‐appropriate support and rehabilitation. Journal of Advanced Nursing. 78(3). 869–882. 14 indexed citations
6.
Wilson, Thomas, Michael C. Cox, Ben Carter, et al.. (2021). Association of Postoperative Clinical Outcomes With Sarcopenia, Frailty, and Nutritional Status in Older Patients With Colorectal Cancer: Protocol for a Prospective Cohort Study. JMIR Research Protocols. 10(8). e16846–e16846. 5 indexed citations
7.
Price, Angeline, Fenella Barlow-Pay, Siobhan Duffy, et al.. (2020). Study protocol for the COPE study: COVID-19 in Older PEople: the influence of frailty and multimorbidity on survival. A multicentre, European observational study. BMJ Open. 10(9). e040569–e040569. 14 indexed citations
8.
Copeland, Lauren, et al.. (2020). Morbidity Prevalence Estimate at 6 Months Following a Stroke: Protocol for a Cohort Study. JMIR Research Protocols. 9(6). e15851–e15851. 1 indexed citations
9.
Collins, Jemima, Roxanna Short, Ben Carter, et al.. (2020). The Clinical Frailty Scale: Estimating the Prevalence of Frailty in Older Patients Hospitalised with COVID-19. The COPE Study. Geriatrics. 5(3). 58–58. 13 indexed citations
10.
Oldroyd, Christopher, et al.. (2020). Risk factors for incident delirium among urological patients: a systematic review and meta-analysis with GRADE summary of findings. BMC Urology. 20(1). 169–169. 3 indexed citations
11.
Jelley, Benjamin, et al.. (2017). Cohort profile: the Welsh Geriatric Registrar-Led Research Network (WeGeN): rationale, design and description. BMJ Open. 7(2). e013031–e013031. 3 indexed citations
12.
Hewitt, Jonathan, et al.. (2017). Frontotemporal dementia presenting as severe depression. Progress in Neurology and Psychiatry. 21(2). 11–12.
13.
Hewitt, Jonathan, James Walters, Sandosh Padmanabhan, & Jesse Dawson. (2016). Cohort profile of the UK Biobank: diagnosis and characteristics of cerebrovascular disease. BMJ Open. 6(3). e009161–e009161. 39 indexed citations
14.
Hewitt, Jonathan, et al.. (2016). Feasibility of Transanal Minimally Invasive Surgery (TAMIS) for Rectal Tumours and Its Impact on Quality of Life - The Bristol Series.. PubMed. 36(4). 2005–9. 13 indexed citations
15.
Lacey, Arron, Stephen D. Luzio, Hugo van Woerden, et al.. (2015). HbA1c measurement and relationship to incident stroke. Diabetic Medicine. 33(4). 459–462. 10 indexed citations
16.
Hewitt, Jonathan, et al.. (2014). Prevalence of frailty and its association with mortality in general surgery. The American Journal of Surgery. 209(2). 254–259. 131 indexed citations
17.
Hewitt, Jonathan & Ian Gallen. (2004). Ethnicity and prevalence of diabetic complications in elderly patients. Practical Diabetes International. 21(4). 139–142. 1 indexed citations
18.
Murtagh, E, W B Doig, Robert Fraser, et al.. (1996). ABSTRACTS IN ECHOCARDIOGRAPHY. Heart. 75(6 Suppl 2). 45–48. 1 indexed citations
19.
Hawton, Keith, et al.. (1996). Paracetamol Self-Poisoning Characteristics, Prevention and Harm Reduction. The British Journal of Psychiatry. 168(1). 43–48. 114 indexed citations
20.
Tatemichi, T. K., Mary A. Foulkes, J.P. Mohr, et al.. (1990). Dementia in stroke survivors in the Stroke Data Bank cohort. Prevalence, incidence, risk factors, and computed tomographic findings.. Stroke. 21(6). 858–866. 204 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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