Stela McLachlan

11.8k total citations
40 papers, 893 citations indexed

About

Stela McLachlan is a scholar working on Hematology, Rheumatology and Genetics. According to data from OpenAlex, Stela McLachlan has authored 40 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 8 papers in Rheumatology and 7 papers in Genetics. Recurrent topics in Stela McLachlan's work include Iron Metabolism and Disorders (14 papers), Folate and B Vitamins Research (8 papers) and Trace Elements in Health (7 papers). Stela McLachlan is often cited by papers focused on Iron Metabolism and Disorders (14 papers), Folate and B Vitamins Research (8 papers) and Trace Elements in Health (7 papers). Stela McLachlan collaborates with scholars based in United Kingdom, United States and Canada. Stela McLachlan's co-authors include Jackie F. Price, Mark W. J. Strachan, C. Robertson, Joanne R Morling, Ian J. Deary, Insa Feinkohl, M Keller, Brian M. Frier, José Manuel Fernández‐Real and Milton Fabian Suárez‐Ortegón and has published in prestigious journals such as Blood, PLoS ONE and Diabetes Care.

In The Last Decade

Stela McLachlan

36 papers receiving 874 citations

Peers

Stela McLachlan
Dariusz Moczulski Poland
Mikio Okamura Japan
Marcelo R. Luizon Brazil
Giovanni Tripepi Italy
Russ Tracy United States
Roberto Zulli Italy
Martin S. Roginsky United States
Riyaz S. Patel United States
Masahito Imanishi Japan
Raimund Pechlaner Austria
Dariusz Moczulski Poland
Stela McLachlan
Citations per year, relative to Stela McLachlan Stela McLachlan (= 1×) peers Dariusz Moczulski

Countries citing papers authored by Stela McLachlan

Since Specialization
Citations

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

Fields of papers citing papers by Stela McLachlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stela McLachlan

This figure shows the co-authorship network connecting the top 25 collaborators of Stela McLachlan. A scholar is included among the top collaborators of Stela McLachlan 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 Stela McLachlan. Stela McLachlan 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.
Suárez‐Ortegón, Milton Fabian, Stela McLachlan, José Manuel Fernández‐Real, James F. Wilson, & Sarah H. Wild. (2024). Both low and high body iron stores relate to metabolic syndrome in postmenopausal women: Findings from the VIKING Health Study‐Shetland (VIKING I). European Journal of Clinical Investigation. 54(12). e14312–e14312.
2.
Baschant, Ulrike, Brie K. Fuqua, María G. Ledesma-Colunga, et al.. (2024). Effects of dietary iron deficiency or overload on bone: Dietary details matter. Bone. 184. 117092–117092. 1 indexed citations
3.
Suárez‐Ortegón, Milton Fabian, Stela McLachlan, José Manuel Fernández‐Real, et al.. (2022). Serum ferritin and incident cardiometabolic diseases in Scottish adults. Cardiovascular Diabetology. 21(1). 26–26. 18 indexed citations
4.
Klarić, Lucija, et al.. (2022). Serum metabolomic profiles associated with subclinical and clinical cardiovascular phenotypes in people with type 2 diabetes. Cardiovascular Diabetology. 21(1). 62–62. 8 indexed citations
5.
6.
McLachlan, Stela, Jonathan Fallowfield, Peter Hayes, et al.. (2021). Addition of hyaluronic acid to the FIB‐4 liver fibrosis score improves prediction of incident cirrhosis and hepatocellular carcinoma in type 2 diabetes: The Edinburgh Type 2 Diabetes Study. Obesity Science & Practice. 7(5). 497–508. 5 indexed citations
7.
8.
Mayes, Jonathan, Stela McLachlan, Emma Carduff, et al.. (2021). Deaths in critical care and hospice—prevalence, trends, influences: a national decedent cohort study. BMJ Supportive & Palliative Care. 14(e1). e1067–e1074. 2 indexed citations
9.
McLachlan, Stela, et al.. (2021). Retinal arteriolar tortuosity and fractal dimension are associated with long-term cardiovascular outcomes in people with type 2 diabetes. Diabetologia. 64(10). 2215–2227. 28 indexed citations
10.
McLachlan, Stela, Jonathan Fallowfield, Patrick K. A. Kearns, et al.. (2020). Non‐invasive risk scores do not reliably identify future cirrhosis or hepatocellular carcinoma in Type 2 diabetes: The Edinburgh type 2 diabetes study. Liver International. 40(9). 2252–2262. 13 indexed citations
11.
Forster, Rachel, et al.. (2020). Depression as a risk factor for dementia in older people with type 2 diabetes and the mediating effect of inflammation. Diabetologia. 64(2). 448–457. 18 indexed citations
12.
Suárez‐Ortegón, Milton Fabian, et al.. (2018). Ferritin, metabolic syndrome and its components: A systematic review and meta-analysis. Atherosclerosis. 275. 97–106. 52 indexed citations
13.
Cooper, Jackie A., Stela McLachlan, S. Goya Wannamethee, et al.. (2016). Variant rs10911021 that associates with coronary heart disease in type 2 diabetes, is associated with lower concentrations of circulating HDL cholesterol and large HDL particles but not with amino acids. Cardiovascular Diabetology. 15(1). 115–115. 9 indexed citations
14.
Betz, Boris, Sara Jenks, Andrew D. Cronshaw, et al.. (2016). Urinary peptidomics in a rodent model of diabetic nephropathy highlights epidermal growth factor as a biomarker for renal deterioration in patients with type 2 diabetes. Kidney International. 89(5). 1125–1135. 62 indexed citations
15.
Suárez‐Ortegón, Milton Fabian, Stela McLachlan, Sarah H. Wild, et al.. (2016). Soluble transferrin receptor levels are positively associated with insulin resistance but not with the metabolic syndrome or its individual components. British Journal Of Nutrition. 116(7). 1165–1174. 17 indexed citations
16.
Hormozdiari, Farhad, Eun Yong Kang, Eyal Ben‐David, et al.. (2016). Imputing Phenotypes for Genome-wide Association Studies. The American Journal of Human Genetics. 99(1). 89–103. 26 indexed citations
17.
Feinkohl, Insa, M Keller, C. Robertson, et al.. (2015). Cardiovascular risk factors and cognitive decline in older people with type 2 diabetes. Diabetologia. 58(7). 1637–1645. 20 indexed citations
18.
Welsh, Paul, Christopher J. Weir, Insa Feinkohl, et al.. (2014). N-terminal pro-brain natriuretic peptide and risk of cardiovascular events in older patients with type 2 diabetes: the Edinburgh Type 2 Diabetes Study. Diabetologia. 57(12). 2505–2512. 17 indexed citations
19.
Conway, Bryan R., Sara Jenks, James W. Dear, et al.. (2012). Measuring urinary tubular biomarkers in type 2 diabetes does not add prognostic value beyond established risk factors. Kidney International. 82(7). 812–818. 46 indexed citations
20.
McLaren, Christine E., Stela McLachlan, Chad Garner, et al.. (2012). Associations between Single Nucleotide Polymorphisms in Iron-Related Genes and Iron Status in Multiethnic Populations. PLoS ONE. 7(6). e38339–e38339. 43 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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