Jonathan Schofield

2.5k total citations · 1 hit paper
63 papers, 1.8k citations indexed

About

Jonathan Schofield is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jonathan Schofield has authored 63 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 18 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jonathan Schofield's work include Lipoproteins and Cardiovascular Health (14 papers), Diabetes Management and Research (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Jonathan Schofield is often cited by papers focused on Lipoproteins and Cardiovascular Health (14 papers), Diabetes Management and Research (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Jonathan Schofield collaborates with scholars based in United Kingdom, United States and Qatar. Jonathan Schofield's co-authors include Handrean Soran, Paul N. Durrington, Yifen Liu, Rayaz A. Malik, Darwin J. Prockop, Prasanna Rao‐Balakrishna, Jan Hoong Ho, David S. Jackson, Michael E. Grant and Ian L. Freeman and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Jonathan Schofield

62 papers receiving 1.7k citations

Hit Papers

Diabetes Dyslipidemia 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 Schofield United Kingdom 21 499 458 386 201 185 63 1.8k
Jin‐Zhen Wu China 23 392 0.8× 468 1.0× 395 1.0× 274 1.4× 355 1.9× 68 1.4k
Hong Sun China 27 442 0.9× 350 0.8× 816 2.1× 207 1.0× 91 0.5× 64 2.8k
Giovanni Francesco Nicoletti Italy 23 216 0.4× 519 1.1× 603 1.6× 105 0.5× 185 1.0× 100 2.0k
Steven J. Adelman United States 24 459 0.9× 840 1.8× 540 1.4× 417 2.1× 348 1.9× 33 2.3k
Xinguo Hou China 23 374 0.7× 425 0.9× 757 2.0× 179 0.9× 177 1.0× 96 1.9k
Jian Chen China 25 283 0.6× 359 0.8× 706 1.8× 159 0.8× 437 2.4× 152 2.7k
Jeong Hyun Park South Korea 20 389 0.8× 188 0.4× 630 1.6× 154 0.8× 74 0.4× 85 1.3k
Miao Hu China 23 329 0.7× 525 1.1× 424 1.1× 78 0.4× 133 0.7× 105 1.6k
Sima Allahverdian Canada 17 440 0.9× 489 1.1× 724 1.9× 95 0.5× 269 1.5× 26 2.4k

Countries citing papers authored by Jonathan Schofield

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Schofield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Schofield

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Schofield. A scholar is included among the top collaborators of Jonathan Schofield 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 Schofield. Jonathan Schofield 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.
Schofield, Jonathan, Michael France, Darren M. Ashcroft, et al.. (2024). Beyond LDL-C: unravelling the residual atherosclerotic cardiovascular disease risk landscape—focus on hypertriglyceridaemia. Frontiers in Cardiovascular Medicine. 11. 1389106–1389106. 10 indexed citations
2.
Marouf, Bushra Hassan, Zohaib Iqbal, Jonathan Schofield, et al.. (2022). Efficacy and Safety of PCSK9 Monoclonal Antibodies in Patients With Diabetes. Clinical Therapeutics. 44(2). 331–348. 6 indexed citations
4.
Schofield, Jonathan, et al.. (2021). Cardiovascular Risk Management in Type 1 Diabetes. Current Diabetes Reports. 21(9). 29–29. 8 indexed citations
5.
Schofield, Jonathan, Lalantha Leelarathna, & Hood Thabit. (2020). COVID-19: Impact of and on Diabetes. Diabetes Therapy. 11(7). 1429–1435. 32 indexed citations
6.
Schofield, Jonathan, Jan Hoong Ho, & Handrean Soran. (2019). Cardiovascular Risk in Type 1 Diabetes Mellitus. Diabetes Therapy. 10(3). 773–789. 99 indexed citations
7.
Saely, Christoph H., Axel Muendlein, Ioannis Evangelakos, et al.. (2018). Circulating microRNAs -192 and -194 are associated with the presence and incidence of diabetes mellitus. Scientific Reports. 8(1). 14274–14274. 43 indexed citations
8.
Kalteniece, Alise, Maryam Ferdousi, Safwaan Adam, et al.. (2017). Corneal confocal microscopy is a rapid reproducible ophthalmic technique for quantifying corneal nerve abnormalities. PLoS ONE. 12(8). e0183040–e0183040. 98 indexed citations
10.
Yadav, Rahul, Salam Hama, Yifen Liu, et al.. (2017). Effect of Roux-en-Y Bariatric Surgery on Lipoproteins, Insulin Resistance, and Systemic and Vascular Inflammation in Obesity and Diabetes. Frontiers in Immunology. 8. 1512–1512. 48 indexed citations
11.
Schofield, Jonathan, See Kwok, Michael France, et al.. (2016). Knowledge gaps in the management of familial hypercholesterolaemia. A UK based survey. Atherosclerosis. 252. 161–165. 17 indexed citations
12.
Soran, Handrean, Jonathan Schofield, Safwaan Adam, & Paul N. Durrington. (2016). Diabetic dyslipidaemia. Current Opinion in Lipidology. 27(4). 313–322. 41 indexed citations
13.
Azmi, Shazli, Maryam Ferdousi, Georgios Ponirakis, et al.. (2015). Obesity-related Neuropathy and the Effects of Bariatric Surgery. Diabetes. 64. 1 indexed citations
14.
Schofield, Jonathan, et al.. (2015). Unintended positive and negative effects of drugs on lipoproteins. Current Opinion in Lipidology. 26(4). 325–337. 3 indexed citations
15.
Soran, Handrean, Jonathan Schofield, Yifen Liu, & Paul N. Durrington. (2015). How HDL protects LDL against atherogenic modification. Current Opinion in Lipidology. 26(4). 247–256. 32 indexed citations
16.
Cresswell, Kathrin, David W. Bates, Robin Williams, et al.. (2014). Evaluation of medium-term consequences of implementing commercial computerized physician order entry and clinical decision support prescribing systems in two 'early adopter' hospitals. Journal of the American Medical Informatics Association. 21(e2). e194–e202. 61 indexed citations
17.
Soran, Handrean, Jonathan Schofield, & Paul N. Durrington. (2014). The importance of considering LDL cholesterol response as well as cardiovascular risk in deciding who can benefit from statin therapy. Current Opinion in Lipidology. 25(4). 239–246. 9 indexed citations
18.
Schofield, Jonathan, et al.. (2014). A review of paradoxical HDL-C responses to fenofibrate, illustrated by a case report. Journal of clinical lipidology. 8(4). 455–459. 7 indexed citations
19.
Schofield, Jonathan, et al.. (2011). Effects of exenatide in poorly controlled type 2 diabetes*. QJM. 105(4). 321–326. 2 indexed citations
20.
González-Martı́nez, David, Soo‐Hyun Kim, Youli Hu, et al.. (2004). Anosmin-1 Modulates Fibroblast Growth Factor Receptor 1 Signaling in Human Gonadotropin-Releasing Hormone Olfactory Neuroblasts through a Heparan Sulfate-Dependent Mechanism. Journal of Neuroscience. 24(46). 10384–10392. 125 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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