Steve Hibbert

1.9k total citations · 1 hit paper
6 papers, 1.1k citations indexed

About

Steve Hibbert is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology and Surgery. According to data from OpenAlex, Steve Hibbert has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Neurology and 1 paper in Surgery. Recurrent topics in Steve Hibbert's work include Diabetes Treatment and Management (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Diabetes Management and Research (1 paper). Steve Hibbert is often cited by papers focused on Diabetes Treatment and Management (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Diabetes Management and Research (1 paper). Steve Hibbert collaborates with scholars based in United Kingdom and United States. Steve Hibbert's co-authors include Patricia Limousin, Icíar Avilés-Olmos, Kate Maclagan, Dilan Athauda, Kashfia Chowdhury, Natalia Budnik, Luca Zampedri, Thomas Foltynie, Simon S. Skene and Elaine Chow and has published in prestigious journals such as The Lancet, Diabetes and European Journal of Neuroscience.

In The Last Decade

Steve Hibbert

6 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exenatide once weekly versus placebo in Parkinson's disease: a randomised, double-blind, placebo-controlled trial

2017 603 citations Dilan Athauda, Kate Maclagan et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve Hibbert United Kingdom	6	533	414	260	238	156	6	1.1k
Luca Zampedri United Kingdom	6	298 0.6×	448 1.1×	248 1.0×	285 1.2×	88 0.6×	10	836
Lesya Novikova United States	16	186 0.3×	123 0.3×	213 0.8×	99 0.4×	198 1.3×	34	675
Harriet Rönnholm Sweden	8	178 0.3×	135 0.3×	230 0.9×	248 1.0×	90 0.6×	11	625
Natalia Budnik United Kingdom	4	298 0.6×	406 1.0×	188 0.7×	237 1.0×	82 0.5×	5	732
Lærke Egefjord Denmark	10	370 0.7×	63 0.2×	191 0.7×	135 0.6×	166 1.1×	10	834
Shin‐Ichiro Yamagishi Japan	14	156 0.3×	168 0.4×	170 0.7×	93 0.4×	67 0.4×	22	725
Hassibullah Akeefe United States	7	169 0.3×	59 0.1×	296 1.1×	179 0.8×	207 1.3×	7	846
G. Boka France	7	270 0.5×	242 0.6×	229 0.9×	233 1.0×	111 0.7×	9	771
Lital Rachmany Israel	15	109 0.2×	348 0.8×	252 1.0×	138 0.6×	50 0.3×	17	750

Countries citing papers authored by Steve Hibbert

Since Specialization

Citations

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

Fields of papers citing papers by Steve Hibbert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Hibbert

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

All Works

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6 of 6 papers shown

1.

Athauda, Dilan, Kate Maclagan, Natalia Budnik, et al.. (2018). Post hoc analysis of the Exenatide‐ PD trial—Factors that predict response. European Journal of Neuroscience. 49(3). 410–421. 57 indexed citations

2.

Athauda, Dilan, Kate Maclagan, Kashfia Chowdhury, et al.. (2018). Exenatide once weekly versus placebo in Parkinson’s disease: a randomised, double-blind, placebo-controlled trial. Yearbook of pediatric endocrinology. 9 indexed citations

3.

Athauda, Dilan, Kate Maclagan, Natalia Budnik, et al.. (2018). What Effects Might Exenatide have on Non-Motor Symptoms in Parkinson’s Disease: A Post Hoc Analysis. Journal of Parkinson s Disease. 8(2). 247–258. 62 indexed citations

4.

Athauda, Dilan, Kate Maclagan, Simon S. Skene, et al.. (2017). Exenatide once weekly versus placebo in Parkinson's disease: a randomised, double-blind, placebo-controlled trial. The Lancet. 390(10103). 1664–1675. 603 indexed citations breakdown →

5.

Chow, Elaine, Alan Bernjak, S. Williams, et al.. (2014). Risk of Cardiac Arrhythmias During Hypoglycemia in Patients With Type 2 Diabetes and Cardiovascular Risk. Diabetes. 63(5). 1738–1747. 284 indexed citations

6.

Bown, Nick, Simon Cotterill, Paul Roberts, et al.. (2001). Cytogenetic abnormalities and clinical outcome in Wilms tumor: A study by the U.K. cancer cytogenetics group and the U.K. Children's Cancer Study Group†. Medical and Pediatric Oncology. 38(1). 11–21. 48 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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