John Pemberton

600 total citations
23 papers, 305 citations indexed

About

John Pemberton is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, John Pemberton has authored 23 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Surgery and 5 papers in Genetics. Recurrent topics in John Pemberton's work include Diabetes Management and Research (13 papers), Pancreatic function and diabetes (10 papers) and Diabetes and associated disorders (5 papers). John Pemberton is often cited by papers focused on Diabetes Management and Research (13 papers), Pancreatic function and diabetes (10 papers) and Diabetes and associated disorders (5 papers). John Pemberton collaborates with scholars based in United Kingdom, Sweden and United States. John Pemberton's co-authors include Mark Priestley, Craig E. Taplin, Peter Adolfsson, Neville Davies, Joseph D. Petruccelli, Jonathan McGavock, Elizabeth A. Davis, Suma Uday, Othmar Moser and Jeerunda Santiprabhob and has published in prestigious journals such as Diabetes Care, Clinica Chimica Acta and Diabetic Medicine.

In The Last Decade

John Pemberton

21 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Pemberton United Kingdom 10 130 75 71 33 33 23 305
Umberto Picchini Denmark 12 29 0.2× 12 0.2× 59 0.8× 9 0.3× 8 0.2× 24 439
Yuanshan Wu China 11 18 0.1× 18 0.2× 11 0.2× 9 0.3× 13 0.4× 34 368
Peng Zeng United States 11 6 0.0× 70 0.9× 4 0.1× 29 0.9× 41 1.2× 41 475
Gerhard Dikta Germany 9 29 0.2× 9 0.1× 23 0.3× 5 0.2× 9 0.3× 25 350
Denis Klimov Israel 11 12 0.1× 9 0.1× 10 0.1× 16 0.5× 15 0.5× 21 404
Dan Anbar United States 12 37 0.3× 9 0.1× 7 0.1× 64 1.9× 38 1.2× 19 292
Abel Kho United States 8 9 0.1× 18 0.2× 15 0.2× 13 0.4× 3 0.1× 9 320
Mowafaq Salem Alzboon Jordan 17 19 0.1× 44 0.6× 14 0.2× 39 1.2× 49 647
Ali Gannoun France 13 7 0.1× 6 0.1× 6 0.1× 76 2.3× 36 1.1× 44 454
Abhik Ghosh India 13 2 0.0× 42 0.6× 12 0.2× 38 1.2× 31 0.9× 59 547

Countries citing papers authored by John Pemberton

Since Specialization
Citations

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

Fields of papers citing papers by John Pemberton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Pemberton

This figure shows the co-authorship network connecting the top 25 collaborators of John Pemberton. A scholar is included among the top collaborators of John Pemberton 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 John Pemberton. John Pemberton 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.
Pemberton, John, Richard Pulsford, Brad Metcalf, et al.. (2025). Glucose‐lowering effects of physical activity in type 1 diabetes: A causal modelling and matched‐pair analysis approach. Diabetic Medicine. 42(12). e70146–e70146.
2.
Freckmann, Guido, Stefan Pleus, Manuel Eichenlaub, et al.. (2025). Recommendations on the Collection of Comparator Measurement Data in the Performance Evaluation of Continuous Glucose Monitoring Systems. Journal of Diabetes Science and Technology. 19(4). 1072–1081. 8 indexed citations
3.
Pleus, Stefan, Manuel Eichenlaub, Pradeep Kumar Dabla, et al.. (2025). Clinical assessment and acceptance criteria for continuous glucose monitoring (CGM) system performance: A proposed guideline by the IFCC Working Group on CGM. Clinica Chimica Acta. 580. 120728–120728.
4.
Pemberton, John, Zhide Fang, Stuart A. Chalew, & Suma Uday. (2025). Ethnic disparities in HbA1c and hypoglycemia among youth with type 1 diabetes: beyond access to technology, social deprivation and mean blood glucose. BMJ Open Diabetes Research & Care. 13(1). e004369–e004369. 2 indexed citations
5.
Pemberton, John, et al.. (2025). Urgent Need for Standardization in CGM Performance Assessment. Diabetes Care. 48(10). e126–e127. 2 indexed citations
6.
Pleus, Stefan, Manuel Eichenlaub, Marion Fokkert, et al.. (2024). The Need for Standardization of Continuous Glucose Monitoring Performance Evaluation: An Opinion by the International Federation of Clinical Chemistry and Laboratory Medicine Working Group on Continuous Glucose Monitoring. Journal of Diabetes Science and Technology. 20(1). 201–206. 8 indexed citations
7.
Pemberton, John, et al.. (2024). Duration of physical activity required to Ameliorate hyperglycemia without causing hypoglycemia in type 1 diabetes: A T1DEXI adults and pediatric cohort analyses. Diabetes Research and Clinical Practice. 220. 111981–111981. 1 indexed citations
8.
Pemberton, John, Louise Collins, Renuka Dias, et al.. (2024). Enhancing equity in access to automated insulin delivery systems in an ethnically and socioeconomically diverse group of children with type 1 diabetes. BMJ Open Diabetes Research & Care. 12(3). e004045–e004045. 4 indexed citations
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Pemberton, John, Emma G. Wilmot, Katharine Barnard‐Kelly, et al.. (2022). CGM accuracy: Contrasting CE marking with the governmental controls of the USA ( FDA ) and Australia ( TGA ): A narrative review. Diabetes Obesity and Metabolism. 25(4). 916–939. 19 indexed citations
12.
Adolfsson, Peter, Craig E. Taplin, Dessi P. Zaharieva, et al.. (2022). ISPAD Clinical Practice Consensus Guidelines 2022: Exercise in children and adolescents with diabetes. Pediatric Diabetes. 23(8). 1341–1372. 67 indexed citations
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Pemberton, John, Ola Engkvist, Isabella Feierberg, et al.. (2013). On the Relationship between Molecular Hit Rates in High-Throughput Screening and Molecular Descriptors. SLAS DISCOVERY. 19(5). 727–737. 14 indexed citations
16.
Pemberton, John. (2011). Time Series Analysis with Applications in R, Second edition. Journal of Applied Statistics. 38(6). 1311–1312. 32 indexed citations
17.
Pemberton, John & Mark Priestley. (1990). Non-Linear and Non-Stationary Time Series Analysis.. Journal of the Royal Statistical Society Series C (Applied Statistics). 39(2). 266–266. 52 indexed citations
18.
Collins, Robert J., John Pemberton, Simon J. D. Phoenix, & J.A.D. Matthew. (1988). Output velocity distribution of a Langevin system with random binary input. European Journal of Physics. 9(4). 312–318. 1 indexed citations
19.
Pemberton, John. (1987). EXACT LEAST SQUARES MULTI‐STEP PREDICTION FROM NONLINEAR AUTOREGRESSIVE MODELS. Journal of Time Series Analysis. 8(4). 443–448. 27 indexed citations
20.
Pemberton, John, et al.. (1981). A NOTE ON THE DISTRIBUTIONS OF NON‐LINEAR AUTOREGRESSIVE STOCHASTIC MODELS. Journal of Time Series Analysis. 2(1). 49–52. 12 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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