Sam Lockhart

2.0k total citations
28 papers, 786 citations indexed

About

Sam Lockhart is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sam Lockhart has authored 28 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Epidemiology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sam Lockhart's work include Congenital Heart Disease Studies (4 papers), Genetic Associations and Epidemiology (3 papers) and Congenital Diaphragmatic Hernia Studies (3 papers). Sam Lockhart is often cited by papers focused on Congenital Heart Disease Studies (4 papers), Genetic Associations and Epidemiology (3 papers) and Congenital Diaphragmatic Hernia Studies (3 papers). Sam Lockhart collaborates with scholars based in United Kingdom, United States and Denmark. Sam Lockhart's co-authors include Stephen O’Rahilly, Vladimı́r Saudek, L. D. Allan, Gurleen Sharland, Martin Dempster, Mark Davies, Sunder Chita, John R. Lindsay, Christian Rask‐Madsen and Emma Berry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrine Reviews and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sam Lockhart

26 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Lockhart United Kingdom 16 211 190 187 185 169 28 786
Laura M. Raffield United States 20 122 0.6× 277 1.5× 119 0.6× 150 0.8× 105 0.6× 79 1.1k
Kateřina Anderlová Czechia 12 363 1.7× 172 0.9× 169 0.9× 227 1.2× 173 1.0× 37 910
Alev Eroğlu Altınova Türkiye 22 220 1.0× 208 1.1× 385 2.1× 218 1.2× 133 0.8× 74 1.1k
Bruno Schisano Italy 14 174 0.8× 288 1.5× 472 2.5× 196 1.1× 163 1.0× 15 1.1k
Sandra Romero‐Hidalgo Mexico 16 182 0.9× 223 1.2× 147 0.8× 182 1.0× 171 1.0× 36 813
Maggie C. Y. Ng United States 22 158 0.7× 565 3.0× 304 1.6× 179 1.0× 187 1.1× 49 1.6k
Guoqing Yang China 18 339 1.6× 300 1.6× 168 0.9× 306 1.7× 221 1.3× 51 1.3k
Mirosława Urban Poland 14 148 0.7× 104 0.5× 209 1.1× 95 0.5× 114 0.7× 74 796
Primož Kotnik Slovenia 17 136 0.6× 323 1.7× 291 1.6× 151 0.8× 127 0.8× 56 869
Karen Siu Ling Lam Hong Kong 18 233 1.1× 465 2.4× 337 1.8× 221 1.2× 97 0.6× 34 1.2k

Countries citing papers authored by Sam Lockhart

Since Specialization
Citations

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

Fields of papers citing papers by Sam Lockhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Lockhart

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Lockhart. A scholar is included among the top collaborators of Sam Lockhart 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 Sam Lockhart. Sam Lockhart 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.
Lockhart, Sam, Brian Lam, Yajie Zhao, et al.. (2025). Effects of Rare Coding Variants in Severe Early-Onset Obesity Genes in the Population-Based UK Biobank Study. The Journal of Clinical Endocrinology & Metabolism. 110(11). e3774–e3782. 2 indexed citations
2.
Lockhart, Sam, Yajie Zhao, Vladimı́r Saudek, et al.. (2025). Rare Variants in HTRA1, SGTB, and RBM12 Confer Risk of Atherosclerotic Cardiovascular Disease Independent of Traditional Cardiovascular Risk Factors. Circulation Genomic and Precision Medicine. 18(6). e005233–e005233.
3.
4.
Lockhart, Sam, Vajira Thambawita, Steven A. Hicks, et al.. (2023). Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis. Diagnostics. 13(14). 2345–2345. 6 indexed citations
5.
Koprulu, Mine, Julia Carrasco-Zanini, Eleanor Wheeler, et al.. (2023). Proteogenomic links to human metabolic diseases. Nature Metabolism. 5(3). 516–528. 17 indexed citations
6.
Goff, Louise M., et al.. (2023). Ethnic differences in complement system biomarkers and their association with metabolic health in men of Black African and White European ethnicity. Clinical & Experimental Immunology. 212(1). 52–60. 3 indexed citations
7.
Rathjen, Thomas, Britta Kunkemoeller, Carly Cederquist, et al.. (2022). Endothelial Cell Insulin Signaling Regulates CXCR4 (C-X-C Motif Chemokine Receptor 4) and Limits Leukocyte Adhesion to Endothelium. Arteriosclerosis Thrombosis and Vascular Biology. 42(7). e217–e227. 7 indexed citations
8.
Gardner, Eugene J., Katherine A. Kentistou, Stasa Stankovic, et al.. (2022). Damaging missense variants in IGF1R implicate a role for IGF-1 resistance in the etiology of type 2 diabetes. Cell Genomics. 2(12). 100208–100208. 17 indexed citations
9.
Lockhart, Sam & Stephen O’Rahilly. (2021). Colchicine—an old dog with new tricks. Nature Metabolism. 3(4). 451–452. 9 indexed citations
10.
11.
Kunkemoeller, Britta, et al.. (2021). The transcriptional coregulator CITED2 suppresses expression of IRS-2 and impairs insulin signaling in endothelial cells. American Journal of Physiology-Endocrinology and Metabolism. 321(2). E252–E259. 7 indexed citations
12.
Lockhart, Sam & Stephen O’Rahilly. (2020). When Two Pandemics Meet: Why Is Obesity Associated with Increased COVID-19 Mortality?. Med. 1(1). 33–42. 63 indexed citations
13.
Lockhart, Sam & Stephen O’Rahilly. (2019). The wasting hormone GDF15 frees up fat to fight infection. Nature Metabolism. 1(10). 935–936. 4 indexed citations
14.
Kelly, C., Michelle B. Hookham, Yongxin Yu, et al.. (2017). Circulating adipokines are associated with pre-eclampsia in women with type 1 diabetes. Diabetologia. 60(12). 2514–2524. 22 indexed citations
15.
Robinson, Emma, Mitchel Tate, Sam Lockhart, et al.. (2016). Metabolically-inactive glucagon-like peptide-1(9–36)amide confers selective protective actions against post-myocardial infarction remodelling. Cardiovascular Diabetology. 15(1). 65–65. 30 indexed citations
16.
Qi, Weier, Qian Li, Chong Wee Liew, et al.. (2016). SHP-1 activation inhibits vascular smooth muscle cell proliferation and intimal hyperplasia in a rodent model of insulin resistance and diabetes. Diabetologia. 60(3). 585–596. 22 indexed citations
17.
Robinson, Emma, Roslyn Cassidy, Mitchel Tate, et al.. (2015). Exendin-4 protects against post-myocardial infarction remodelling via specific actions on inflammation and the extracellular matrix. Basic Research in Cardiology. 110(2). 20–20. 61 indexed citations
18.
Lockhart, Sam, et al.. (1995). Isolated pericardial effusion: an indication for fetal karyotyping?. Ultrasound in Obstetrics and Gynecology. 6(1). 29–32. 21 indexed citations
19.
Allan, L. D. & Sam Lockhart. (1993). Intrathoracic cardiac position in the fetus. Ultrasound in Obstetrics and Gynecology. 3(2). 93–96. 27 indexed citations
20.
Sharland, Gurleen, Sam Lockhart, Sunder Chita, & L. D. Allan. (1991). Factors influencing the outcome of congenital heart disease detected prenatally.. Archives of Disease in Childhood. 66(3). 284–287. 46 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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