Jonathan Webber

988 total citations · 1 hit paper
17 papers, 683 citations indexed

About

Jonathan Webber is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Surgery. According to data from OpenAlex, Jonathan Webber has authored 17 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Physiology and 4 papers in Surgery. Recurrent topics in Jonathan Webber's work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers), Bariatric Surgery and Outcomes (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Jonathan Webber is often cited by papers focused on Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers), Bariatric Surgery and Outcomes (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Jonathan Webber collaborates with scholars based in United Kingdom, Australia and Ireland. Jonathan Webber's co-authors include Nina Johns, M. Charlton, Krishnarajah Nirantharakumar, Ponnusamy Saravanan, Barbara Daly, Deepiksana Keerthy, James Martín, Kate Jolly, Konstantinos A. Toulis and Krishna Gokhale and has published in prestigious journals such as Diabetes, PLoS Medicine and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Jonathan Webber

16 papers receiving 662 citations

Hit Papers

Increased risk of ischemic heart disease, hypertension, a... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Webber United Kingdom 8 344 205 141 136 128 17 683
Samuel Atkinson United States 8 236 0.7× 138 0.7× 266 1.9× 293 2.2× 151 1.2× 9 869
C. J. Homko United States 11 263 0.8× 106 0.5× 135 1.0× 227 1.7× 113 0.9× 23 586
Emily D. Szmuilowicz United States 10 222 0.6× 137 0.7× 52 0.4× 73 0.5× 297 2.3× 23 661
Lisa M. Neff United States 14 73 0.2× 118 0.6× 255 1.8× 57 0.4× 231 1.8× 39 830
Sheba Jarvis United Kingdom 15 214 0.6× 105 0.5× 116 0.8× 210 1.5× 60 0.5× 29 777
Eleni Anastasiou Greece 15 344 1.0× 146 0.7× 103 0.7× 212 1.6× 197 1.5× 44 735
Nikki C. Bush United States 16 93 0.3× 45 0.2× 302 2.1× 86 0.6× 145 1.1× 24 614
Deepiksana Keerthy United Kingdom 8 192 0.6× 108 0.5× 23 0.2× 86 0.6× 127 1.0× 9 417
Ida J. Hatoum United States 13 52 0.2× 429 2.1× 337 2.4× 51 0.4× 93 0.7× 16 832
Junhong Leng China 13 452 1.3× 239 1.2× 58 0.4× 207 1.5× 110 0.9× 28 600

Countries citing papers authored by Jonathan Webber

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Webber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Webber

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

All Works

17 of 17 papers shown
1.
Manley, Susan E., Andreas Karwath, John A. Williams, et al.. (2022). use of HbA1c for new diagnosis of diabetes in those with hyperglycaemia on admission to or attendance at hospital urgently requires research. British Journal of Diabetes. 22(2). 95–104. 1 indexed citations
2.
Ghosh, Sandip, Susan E. Manley, Peter Nightingale, et al.. (2020). Prevalence of admission plasma glucose in 'diabetes' or 'at risk' ranges in hospital emergencies with no prior diagnosis of diabetes by gender, age and ethnicity. Endocrinology Diabetes & Metabolism. 3(3). e00140–e00140. 6 indexed citations
3.
Šumilo, Dana, et al.. (2019). Unmet needs of women with GDM: a health needs assessment in Sandwell, West Midlands. Journal of Public Health. 42(4). e516–e524. 5 indexed citations
4.
Manley, Susan E., Radhika Susarla, Peter Nightingale, et al.. (2019). 1312-P: Admission Plasma Glucose and HbA1c in Emergency Hospital Admissions by Ethnicity. Diabetes. 68(Supplement_1). 1 indexed citations
5.
Daly, Barbara, Konstantinos A. Toulis, G. Neil Thomas, et al.. (2018). Increased risk of ischemic heart disease, hypertension, and type 2 diabetes in women with previous gestational diabetes mellitus, a target group in general practice for preventive interventions: A population-based cohort study. PLoS Medicine. 15(1). e1002488–e1002488. 228 indexed citations breakdown →
6.
Kempegowda, Punith, et al.. (2018). Are they high on steroids? Tailored interventions help improve screening for steroid-induced hyperglycaemia in hospitalised patients. BMJ Open Quality. 7(1). e000238–e000238. 1 indexed citations
7.
Webber, Jonathan, M. Charlton, & Nina Johns. (2015). Diabetes in pregnancy: management of diabetes and its complications from preconception to the postnatal period (NG3). The British Journal of Diabetes. 15(3). 107–107. 167 indexed citations
8.
Manley, Susan E., Stephen D. Luzio, Gareth Dunseath, et al.. (2014). Comparison of IFCC-calibrated HbA1c from laboratory and point of care testing systems. Diabetes Research and Clinical Practice. 105(3). 364–372. 12 indexed citations
9.
Roberts, Keith, Jonathan Webber, Ravi Marudanayagam, et al.. (2013). How severe is diabetes after total pancreatectomy? A case-matched analysis. HPB. 16(9). 814–821. 43 indexed citations
10.
Land, Lucy, Paresh Jobanputra, Jonathan Webber, & Jonathan Ross. (2012). Patient satisfaction in three clinics managing long-term conditions. British Journal of Nursing. 21(3). 186–188. 2 indexed citations
11.
Wallis, Gareth A., et al.. (2005). Metabolic response to carbohydrate ingestion during exercise in males and females. American Journal of Physiology-Endocrinology and Metabolism. 290(4). E708–E715. 69 indexed citations
12.
Webber, Jonathan, et al.. (2004). A primary care intervention programme for obesity and coronary heart disease risk factor reduction.. PubMed. 54(501). 272–8. 17 indexed citations
13.
Webber, Jonathan. (2003). Energy balance in obesity. Proceedings of The Nutrition Society. 62(2). 539–543. 99 indexed citations
14.
Webber, Jonathan, et al.. (2003). Towards a national surveillance program for antimicrobial resistance in animals and animal-derived food. Communicable Diseases Intelligence. 27. S111–S116.
15.
Webber, Jonathan. (2001). The comorbidities of obesity. Practical Diabetes International. 18(8). 293–296. 4 indexed citations
16.
Webber, Jonathan & Ian Macdonald. (2000). Signalling in body-weight homeostasis: neuroendocrine efferent signals. Proceedings of The Nutrition Society. 59(3). 397–404. 21 indexed citations
17.
Webber, Jonathan. (1992). Obesity and cachexia: Physiological mechanisms and new approaches to pharmacological control. Clinical Nutrition. 11(5). 318–318. 7 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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