Tabitha Randell

2.1k total citations
53 papers, 1.1k citations indexed

About

Tabitha Randell is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Tabitha Randell has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Genetics and 16 papers in Surgery. Recurrent topics in Tabitha Randell's work include Diabetes Management and Research (25 papers), Diabetes and associated disorders (16 papers) and Pancreatic function and diabetes (12 papers). Tabitha Randell is often cited by papers focused on Diabetes Management and Research (25 papers), Diabetes and associated disorders (16 papers) and Pancreatic function and diabetes (12 papers). Tabitha Randell collaborates with scholars based in United Kingdom, Australia and United States. Tabitha Randell's co-authors include Cris Glazebrook, Holly Blake, Helen Quirk, Nicola Trevelyan, Robert L. Tennyson, Fiona Campbell, Rachel Besser, Peter P Van Asperen, Geoffrey Ambler and Kim C. Donaghue and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Tabitha Randell

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tabitha Randell United Kingdom 19 773 422 394 138 124 53 1.1k
Paolo Ciampalini Italy 21 895 1.2× 486 1.2× 460 1.2× 188 1.4× 47 0.4× 37 1.6k
Birgit Rami‐Merhar Austria 25 1.3k 1.7× 792 1.9× 1.0k 2.6× 146 1.1× 134 1.1× 83 1.9k
Marietta Stadler United Kingdom 24 792 1.0× 609 1.4× 354 0.9× 198 1.4× 79 0.6× 58 1.4k
Ciara McDonnell Ireland 16 549 0.7× 298 0.7× 345 0.9× 91 0.7× 24 0.2× 52 952
Barbara N. Campaigne United States 21 929 1.2× 462 1.1× 214 0.5× 206 1.5× 104 0.8× 41 1.7k
Jane Lynch United States 16 617 0.8× 287 0.7× 287 0.7× 172 1.2× 70 0.6× 40 1.2k
Lisa H. Fish United States 13 2.1k 2.7× 571 1.4× 587 1.5× 137 1.0× 84 0.7× 22 2.3k
Christian Denzer Germany 19 548 0.7× 212 0.5× 200 0.5× 220 1.6× 81 0.7× 54 1.3k
Brandon M. Nathan United States 22 860 1.1× 554 1.3× 393 1.0× 229 1.7× 51 0.4× 61 1.9k
M Vanelli Italy 14 558 0.7× 281 0.7× 498 1.3× 161 1.2× 44 0.4× 43 1.1k

Countries citing papers authored by Tabitha Randell

Since Specialization
Citations

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

Fields of papers citing papers by Tabitha Randell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tabitha Randell

This figure shows the co-authorship network connecting the top 25 collaborators of Tabitha Randell. A scholar is included among the top collaborators of Tabitha Randell 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 Tabitha Randell. Tabitha Randell 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.
Madrid‐Valero, Juan J., Eleanor Scott, Charlotte K. Boughton, et al.. (2024). Closed-Loop Therapy and Sleep in Young People Newly Diagnosed With Type 1 Diabetes and Their Parents. Journal of Diabetes Science and Technology. 20(2). 335–341. 1 indexed citations
3.
Boughton, Charlotte K., Janet M. Allen, Julia Ware, et al.. (2024). The effect of closed-loop glucose control on C-peptide secretion in youth with newly diagnosed type 1 diabetes: the CLOuD RCT. SHILAP Revista de lepidopterología. 1–75.
4.
Allen, Janet M., Julia Ware, Malgorzata E. Wilinska, et al.. (2024). Diabetic Ketoacidosis at Onset of Type 1 Diabetes and Glycemic Outcomes with Closed-Loop Insulin Delivery. Diabetes Technology & Therapeutics. 26(3). 198–202. 4 indexed citations
6.
Högler, Wolfgang, et al.. (2024). Successful treatment approaches for tumoral calcinosis in children and young people: A condition of diverse pathogenesis. Bone. 182. 117049–117049. 1 indexed citations
7.
Lawrence, Neil, Jeremy Dawson, Timothy Cheetham, et al.. (2023). Quality of Life in Children and Young People With Congenital Adrenal Hyperplasia—UK Nationwide Multicenter Assessment. The Journal of Clinical Endocrinology & Metabolism. 109(1). e336–e346. 5 indexed citations
8.
Boughton, Charlotte K., Janet M. Allen, Julia Ware, et al.. (2022). Closed-Loop Therapy and Preservation of C-Peptide Secretion in Type 1 Diabetes. New England Journal of Medicine. 387(10). 882–893. 57 indexed citations
9.
Ng, Sze May, Neil Wright, Fiona Campbell, et al.. (2022). Real world use of hybrid‐closed loop in children and young people with type 1 diabetes mellitus—a National Health Service pilot initiative in England. Diabetic Medicine. 40(2). e15015–e15015. 38 indexed citations
10.
Lawton, Julia, Ruth I. Hart, Barbara Kimbell, et al.. (2021). Data Sharing While Using a Closed-Loop System: Qualitative Study of Adolescents' and Parents' Experiences and Views. Diabetes Technology & Therapeutics. 23(7). 500–507. 12 indexed citations
11.
Uday, Suma, Nick J. Shaw, M.Z. Mughal, et al.. (2021). Monitoring response to conventional treatment in children with XLH: Value of ALP and Rickets Severity Score (RSS) in a real world setting. Bone. 151. 116025–116025. 14 indexed citations
12.
Law, James, David E. Morris, Lindsay Robinson, et al.. (2020). Reduced brown adipose tissue‐associated skin temperature following cold stimulation in children and adolescents with type 1 diabetes. Pediatric Diabetes. 22(3). 407–416. 8 indexed citations
13.
Lawton, Julia, Barbara Kimbell, David Rankin, et al.. (2020). Health professionals' views about who would benefit from using a closed‐loop system: a qualitative study. Diabetic Medicine. 37(6). 1030–1037. 43 indexed citations
15.
Yau, Daphne, Thomas W. Laver, Antonia Dastamani, et al.. (2020). Using referral rates for genetic testing to determine the incidence of a rare disease: The minimal incidence of congenital hyperinsulinism in the UK is 1 in 28,389. PLoS ONE. 15(2). e0228417–e0228417. 38 indexed citations
16.
Gregory, John W, Julia Townson, Sue Channon, et al.. (2019). Effectiveness of home or hospital initiation of treatment at diagnosis for children with type 1 diabetes (DECIDE trial): a multicentre individually randomised controlled trial. BMJ Open. 9(12). e032317–e032317. 8 indexed citations
17.
Binder, Gerhard, Thomas Reinehr, Lourdes Ibáñez, et al.. (2019). GHD Diagnostics in Europe and the US: An Audit of National Guidelines and Practice. Hormone Research in Paediatrics. 92(3). 150–156. 40 indexed citations
18.
Randell, Tabitha, et al.. (2014). Diabetes Mellitus a Late Complication in Glycogen Storage Disease Type 1b. 82(1). 83–4. 1 indexed citations
19.
20.
Randell, Tabitha, Kim C. Donaghue, Geoffrey Ambler, et al.. (2003). Safety of the Newer Inhaled Corticosteroids in Childhood Asthma. Pediatric Drugs. 5(7). 481–504. 44 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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