J. C. Smith

1.3k total citations
29 papers, 1.0k citations indexed

About

J. C. Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, J. C. Smith has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in J. C. Smith's work include Cardiovascular Health and Disease Prevention (6 papers), Pituitary Gland Disorders and Treatments (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). J. C. Smith is often cited by papers focused on Cardiovascular Health and Disease Prevention (6 papers), Pituitary Gland Disorders and Treatments (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). J. C. Smith collaborates with scholars based in United Kingdom, United States and Italy. J. C. Smith's co-authors include M. F. Scanlon, Jeffrey S. Davies, Marc Evans, John Cockcroft, Howard Kynaston, S. M. A. Bennett, Malcolm D. Mason, Mahesh Parmar, J. S. Davies and John Davies and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Human Molecular Genetics.

In The Last Decade

J. C. Smith

28 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. C. Smith United Kingdom 15 434 296 212 168 120 29 1.0k
Hong Tao China 20 506 1.2× 243 0.8× 293 1.4× 340 2.0× 262 2.2× 46 1.5k
Julie E. Goodwin United States 23 340 0.8× 156 0.5× 167 0.8× 505 3.0× 130 1.1× 39 1.4k
Haruhito A. Uchida Japan 20 172 0.4× 329 1.1× 278 1.3× 254 1.5× 254 2.1× 101 1.3k
Carl-Göran Ericsson Sweden 18 306 0.7× 136 0.5× 374 1.8× 257 1.5× 300 2.5× 22 1.3k
Kathleen G. Raman United States 12 406 0.9× 277 0.9× 252 1.2× 332 2.0× 144 1.2× 25 1.4k
Carl V. Felton United Kingdom 14 716 1.6× 125 0.4× 157 0.7× 155 0.9× 198 1.6× 24 1.5k
Tiina Solakivi Finland 20 396 0.9× 117 0.4× 349 1.6× 205 1.2× 397 3.3× 44 1.5k
Ryohei Kaseda Japan 17 252 0.6× 89 0.3× 150 0.7× 275 1.6× 213 1.8× 39 1.1k
A. Corgnati Italy 13 362 0.8× 83 0.3× 126 0.6× 189 1.1× 180 1.5× 23 899
Daniel Lorber United States 14 411 0.9× 124 0.4× 116 0.5× 128 0.8× 161 1.3× 24 792

Countries citing papers authored by J. C. Smith

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Smith. 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 J. C. Smith. The network helps show where J. C. Smith may publish in the future.

Co-authorship network of co-authors of J. C. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Smith. A scholar is included among the top collaborators of J. C. Smith 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 J. C. Smith. J. C. Smith 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.
Smith, J. C., et al.. (2022). Lipohypertrophy contributing to severe diabetic ketoacidosis in type 1 diabetes: An increasing problem in the context of the COVID ‐19 pandemic?. SHILAP Revista de lepidopterología. 10(11). e6517–e6517. 1 indexed citations
2.
Smith, J. C., et al.. (2022). Hypertonic saline versus fluid restriction: The pitfalls in managing acute hyponatremia in a patient with long‐standing spinal cord injury. SHILAP Revista de lepidopterología. 10(12). e6576–e6576. 1 indexed citations
3.
4.
Poole, C, J. C. Smith, & John Davies. (2015). Cost-effectiveness and budget impact of Empirical vitamin D therapy on unintentional falls in older adults in the UK. BMJ Open. 5(9). e007910–e007910. 28 indexed citations
5.
Paisey, Richard, J. C. Smith, Catherine Carey, et al.. (2015). Duration of Diabetes Predicts Aortic Pulse Wave Velocity and Vascular Events in Alström Syndrome. The Journal of Clinical Endocrinology & Metabolism. 100(8). E1116–E1124. 11 indexed citations
6.
Smith, J. C., et al.. (2015). SGLT2 inhibitors and the risk of diabetic ketoacidosis. Practical Diabetes. 32(7). 263–263. 5 indexed citations
7.
Zatyka, Malgorzata, Gabriela da Silva Xavier, Elisa A. Bellomo, et al.. (2014). Sarco(endo)plasmic reticulum ATPase is a molecular partner of Wolfram syndrome 1 protein, which negatively regulates its expression. Human Molecular Genetics. 24(3). 814–827. 48 indexed citations
8.
Poole, Chris D., J. C. Smith, & John Davies. (2014). The short-term impact of vitamin D-based hip fracture prevention in older adults in the United Kingdom. Journal of Endocrinological Investigation. 37(9). 811–817. 14 indexed citations
9.
10.
Smith, J. C., et al.. (2011). Clinical outcomes of adrenal incidentalomas over a 3 year period: a retrospective analysis to evaluate a new referral pathway. 25. 1 indexed citations
11.
Smith, J. C., Barry J. McDonnell, Christopher Retallick, et al.. (2007). Is arterial stiffening in Alström syndrome linked to the development of cardiomyopathy?. European Journal of Clinical Investigation. 37(2). 99–105. 9 indexed citations
12.
Grace, Fergal, et al.. (2006). Impaired vasoreactivity in bodybuilders using androgenic anabolic steroids. European Journal of Clinical Investigation. 36(7). 483–488. 57 indexed citations
13.
Smith, J. C., et al.. (2006). Noninvasive assessment of preclinical atherosclerosis. Vascular Health and Risk Management. 2(1). 19–30. 87 indexed citations
14.
Smith, J. C.. (2004). Hormone replacement therapy in hypopituitarism. Expert Opinion on Pharmacotherapy. 5(5). 1023–1031. 16 indexed citations
15.
Evans, Marc, RA Anderson, J. C. Smith, et al.. (2003). Effects of insulin lispro and chronic vitamin C therapy on postprandial lipaemia, oxidative stress and endothelial function in patients with type 2 diabetes mellitus. European Journal of Clinical Investigation. 33(3). 231–238. 46 indexed citations
16.
Smith, J. C., Neil H. Davies, Marc Evans, et al.. (2003). The Effects of Depot Long-Acting Somatostatin Analog on Central Aortic Pressure and Arterial Stiffness in Acromegaly. The Journal of Clinical Endocrinology & Metabolism. 88(6). 2556–2561. 31 indexed citations
17.
18.
Smith, J. C., D. Lang, Jane McEneny, et al.. (2002). Effects of GH on lipid peroxidation and neutrophil superoxide anion‐generating capacity in hypopituitary adults with GH deficiency. Clinical Endocrinology. 56(4). 449–455. 22 indexed citations
19.
Smith, J. C., S. M. A. Bennett, Marc Evans, et al.. (2001). The Effects of Induced Hypogonadism on Arterial Stiffness, Body Composition, and Metabolic Parameters in Males with Prostate Cancer. The Journal of Clinical Endocrinology & Metabolism. 86(9). 4261–4267. 357 indexed citations
20.
Smith, J. C., M. D. Page, Rosalind M. John, et al.. (2000). Augmentation of Central Arterial Pressure in Mild Primary Hyperparathyroidism. The Journal of Clinical Endocrinology & Metabolism. 85(10). 3515–3519. 101 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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