Keith Burling

3.4k total citations
65 papers, 1.6k citations indexed

About

Keith Burling is a scholar working on Surgery, Molecular Biology and Physiology. According to data from OpenAlex, Keith Burling has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 14 papers in Molecular Biology and 14 papers in Physiology. Recurrent topics in Keith Burling's work include Pancreatic function and diabetes (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Adipose Tissue and Metabolism (8 papers). Keith Burling is often cited by papers focused on Pancreatic function and diabetes (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Adipose Tissue and Metabolism (8 papers). Keith Burling collaborates with scholars based in United Kingdom, United States and Spain. Keith Burling's co-authors include Tim D. Spector, J. Brent Richards, Ursula Perks, Ana M. Valdes, Stephen O’Rahilly, Robert K. Semple, Phillip Görden, Elaine Cochran, Maria A. Soos and Antonio Vidal‐Puig and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and The Journal of Immunology.

In The Last Decade

Keith Burling

61 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith Burling United Kingdom 23 509 416 391 187 184 65 1.6k
Rene Costello United States 20 422 0.8× 268 0.6× 199 0.5× 305 1.6× 334 1.8× 57 1.7k
Kyoko Yoshioka Japan 22 745 1.5× 470 1.1× 218 0.6× 171 0.9× 155 0.8× 65 1.8k
Hong Huang China 24 602 1.2× 168 0.4× 172 0.4× 253 1.4× 99 0.5× 119 1.7k
Masashi Fujii Japan 18 349 0.7× 154 0.4× 258 0.7× 226 1.2× 149 0.8× 98 1.3k
Margit Kovács Hungary 21 192 0.4× 238 0.6× 344 0.9× 111 0.6× 111 0.6× 64 1.4k
Pamela Clark United States 17 361 0.7× 297 0.7× 294 0.8× 327 1.7× 241 1.3× 29 1.7k
Moritaka Goto Japan 23 329 0.6× 417 1.0× 280 0.7× 470 2.5× 301 1.6× 85 1.7k
Michael Horn Germany 23 521 1.0× 294 0.7× 431 1.1× 179 1.0× 101 0.5× 55 2.2k
Ethan J. Weiss United States 20 538 1.1× 647 1.6× 440 1.1× 355 1.9× 435 2.4× 39 3.3k
Hitoshi Togashi Japan 22 365 0.7× 279 0.7× 675 1.7× 307 1.6× 85 0.5× 88 1.8k

Countries citing papers authored by Keith Burling

Since Specialization
Citations

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

Fields of papers citing papers by Keith Burling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Burling

This figure shows the co-authorship network connecting the top 25 collaborators of Keith Burling. A scholar is included among the top collaborators of Keith Burling 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 Keith Burling. Keith Burling 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.
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Teckman, Jeffrey, et al.. (2024). Biomarkers Associated With Future Severe Liver Disease in Children With Alpha-1-Antitrypsin Deficiency. SHILAP Revista de lepidopterología. 3(6). 842–850. 1 indexed citations
3.
Barker, Peter, Keith Burling, Diarmuid Smith, et al.. (2023). Diagnosis and treatment of anti‐insulin antibody‐mediated labile glycaemia in insulin‐treated diabetes. Diabetic Medicine. 40(11). e15194–e15194. 4 indexed citations
4.
Jones, Danielle, Clive J. Petry, Keith Burling, et al.. (2023). Pregnancy glucagon-like peptide 1 predicts insulin but not glucose concentrations. Acta Diabetologica. 60(12). 1635–1642. 3 indexed citations
5.
Karusheva, Yanislava, Clive J. Petry, Anuja Premawardhena, et al.. (2023). Association of GDF15 levels with body mass index and endocrine status in β‐thalassaemia. Clinical Endocrinology. 99(2). 182–189. 1 indexed citations
6.
Karusheva, Yanislava, Alexander Mörseburg, Peter Barker, et al.. (2022). The Common H202D Variant in GDF-15 Does Not Affect Its Bioactivity but Can Significantly Interfere with Measurement of Its Circulating Levels. The Journal of Applied Laboratory Medicine. 7(6). 1388–1400. 19 indexed citations
7.
Forbes, Shareen, A Pernet, Ruth Wood, et al.. (2021). The impact of islet mass, number of transplants, and time between transplants on graft function in a national islet transplant program. American Journal of Transplantation. 22(1). 154–164. 16 indexed citations
8.
Toll, Alba, Daniel Bergé, Keith Burling, et al.. (2020). Cannabis use influence on peripheral brain-derived neurotrophic factor levels in antipsychotic-naïve first-episode psychosis. European Archives of Psychiatry and Clinical Neuroscience. 270(7). 851–858. 7 indexed citations
9.
Moran, Carla, Christoph Seger, Kevin Taylor, et al.. (2020). Hyperthyroxinemia and Hypercortisolemia due to Familial Dysalbuminemia. Thyroid. 30(11). 1681–1684. 3 indexed citations
10.
Norden, Anthony G.W., Keith Burling, Letizia Zeni, & Robert J. Unwin. (2019). A New Estimate of the Glomerular Sieving Coefficient for Retinol-Binding Protein 4 Suggests It Is Not Freely Filtered. Kidney International Reports. 4(7). 1017–1018. 11 indexed citations
11.
Willemsen, Ruben H., Keith Burling, Peter Barker, et al.. (2018). Frequent Monitoring of C-Peptide Levels in Newly Diagnosed Type 1 Subjects Using Dried Blood Spots Collected at Home. The Journal of Clinical Endocrinology & Metabolism. 103(9). 3350–3358. 13 indexed citations
12.
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Serrão, Eva, Tiago B. Rodrigues, Ferdia A. Gallagher, et al.. (2016). Effects of fasting on serial measurements of hyperpolarized [1‐13C]pyruvate metabolism in tumors. NMR in Biomedicine. 29(8). 1048–1055. 17 indexed citations
14.
Kelly, John D., Tim Dudderidge, Keith Burling, et al.. (2012). Bladder Cancer Diagnosis and Identification of Clinically Significant Disease by Combined Urinary Detection of Mcm5 and Nuclear Matrix Protein 22. PLoS ONE. 7(7). e40305–e40305. 34 indexed citations
15.
Virtue, Sam, Mojgan Masoodi, Vidya Velagapudi, et al.. (2012). Lipocalin Prostaglandin D Synthase and PPARγ2 Coordinate to Regulate Carbohydrate and Lipid Metabolism In Vivo. PLoS ONE. 7(7). e39512–e39512. 21 indexed citations
16.
17.
Calapoğlu, Mustafa, et al.. (2008). Analysis of the Alpha-1-Antitrypsin Deficient Alleles M3S, MZ, and ZZ by Biochemical and Molecular Methods: A Family Study. Biochemical Genetics. 47(1-2). 33–41. 1 indexed citations
18.
Cassidy, Aedín, Paula Skidmore, Eric B. Rimm, et al.. (2008). Plasma Adiponectin Concentrations Are Associated with Body Composition and Plant-Based Dietary Factors in Female Twins. Journal of Nutrition. 139(2). 353–358. 28 indexed citations
19.
Kyriakou, Theodosios, Xiaoling Wang, Harold Snieder, et al.. (2008). Adiponectin gene ADIPOQ SNP associations with serum adiponectin in two female populations and effects of SNPs on promoter activity. Journal of Human Genetics. 53(8). 718–727. 68 indexed citations
20.
Valdes, Ana M., et al.. (2007). Adiponectin and bone mineral density in postmenopausal women. Osteoporosis International. 18. 1 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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