Mary D Fortune

1.8k total citations
13 papers, 411 citations indexed

About

Mary D Fortune is a scholar working on Genetics, Surgery and Epidemiology. According to data from OpenAlex, Mary D Fortune has authored 13 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Mary D Fortune's work include Genetic Associations and Epidemiology (6 papers), Diabetes and associated disorders (3 papers) and Hip and Femur Fractures (3 papers). Mary D Fortune is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Diabetes and associated disorders (3 papers) and Hip and Femur Fractures (3 papers). Mary D Fortune collaborates with scholars based in United Kingdom, United States and Mexico. Mary D Fortune's co-authors include Chris Wallace, Hui Guo, John A. Todd, Oliver S. Burren, Ellen Schofield, Neil Walker, Hongyi Zhang, Hamid Jalal, Stephen Eyre and James E. Peters and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Mary D Fortune

12 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary D Fortune United Kingdom 11 199 129 85 80 52 13 411
Yaling Yi United States 12 108 0.5× 158 1.2× 184 2.2× 40 0.5× 21 0.4× 24 648
П. Ф. Пигнатти Italy 15 143 0.7× 116 0.9× 68 0.8× 51 0.6× 24 0.5× 26 548
Michael Hühn Sweden 12 148 0.7× 91 0.7× 97 1.1× 241 3.0× 73 1.4× 17 479
Fred Preffer United States 5 97 0.5× 189 1.5× 181 2.1× 81 1.0× 118 2.3× 6 592
Enno Gentz Germany 8 113 0.6× 37 0.3× 127 1.5× 61 0.8× 20 0.4× 8 312
Davide Montin Italy 11 53 0.3× 61 0.5× 52 0.6× 129 1.6× 41 0.8× 37 300
Sajad Moshkelgosha Canada 11 67 0.3× 149 1.2× 117 1.4× 47 0.6× 18 0.3× 39 524
Yoko Mizoguchi Japan 12 72 0.4× 64 0.5× 32 0.4× 158 2.0× 68 1.3× 35 327
Karolina Piekarska Poland 10 78 0.4× 45 0.3× 34 0.4× 165 2.1× 45 0.9× 21 334
Francis Sun United States 13 85 0.4× 66 0.5× 39 0.5× 43 0.5× 66 1.3× 17 342

Countries citing papers authored by Mary D Fortune

Since Specialization
Citations

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

Fields of papers citing papers by Mary D Fortune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary D Fortune. 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 Mary D Fortune. The network helps show where Mary D Fortune may publish in the future.

Co-authorship network of co-authors of Mary D Fortune

This figure shows the co-authorship network connecting the top 25 collaborators of Mary D Fortune. A scholar is included among the top collaborators of Mary D Fortune 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 Mary D Fortune. Mary D Fortune is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Li, Ji-Peng Olivia, Mary D Fortune, Patrick Royston, et al.. (2022). Personalized Model to Predict Keratoconus Progression From Demographic, Topographic, and Genetic Data. American Journal of Ophthalmology. 240. 321–329. 10 indexed citations
2.
3.
Skittrall, Jordan P., Mary D Fortune, Hamid Jalal, et al.. (2021). Diagnostic tool or screening programme? Asymptomatic testing for SARS-CoV-2 needs clear goals and protocols. The Lancet Regional Health - Europe. 1. 100002–100002. 15 indexed citations
4.
Chimutengwende-Gordon, Mukai, Mary D Fortune, Daud Chou, et al.. (2021). Factors associated with mortality in older patients sustaining pelvic or acetabular fractures. Archives of Orthopaedic and Trauma Surgery. 142(7). 1547–1556. 7 indexed citations
5.
Chimutengwende-Gordon, Mukai, Mary D Fortune, David W. Chou, et al.. (2021). 1319 Factors Associated with Mortality in Older Patients Sustaining Pelvic or Acetabular Fractures. British journal of surgery. 108(Supplement_6).
6.
Skittrall, Jordan P., Michael J. Wilson, Anna Smielewska, et al.. (2020). Specificity and positive predictive value of SARS-CoV-2 nucleic acid amplification testing in a low-prevalence setting. Clinical Microbiology and Infection. 27(3). 469.e9–469.e15. 44 indexed citations
7.
Krkovič, Matija, et al.. (2020). Systematic review on the outcomes of poller screw augmentation in intramedullary nailing of long bone fracture. EFORT Open Reviews. 5(3). 189–203. 18 indexed citations
8.
Asimit, Jennifer L., Daniel B. Rainbow, Mary D Fortune, et al.. (2019). Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases. Nature Communications. 10(1). 3216–3216. 14 indexed citations
9.
Fortune, Mary D & Chris Wallace. (2018). simGWAS: a fast method for simulation of large scale case–control GWAS summary statistics. Bioinformatics. 35(11). 1901–1906. 14 indexed citations
10.
Peters, James E., Paul Lyons, James Lee, et al.. (2016). Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease. PLoS Genetics. 12(3). e1005908–e1005908. 54 indexed citations
11.
Fortune, Mary D, Hui Guo, Oliver S. Burren, et al.. (2015). Statistical colocalization of genetic risk variants for related autoimmune diseases in the context of common controls. Nature Genetics. 47(7). 839–846. 90 indexed citations
12.
Guo, Hui, Mary D Fortune, Oliver S. Burren, et al.. (2015). Integration of disease association and eQTL data using a Bayesian colocalisation approach highlights six candidate causal genes in immune-mediated diseases. Human Molecular Genetics. 24(12). 3305–3313. 86 indexed citations
13.
Evangelou, Marina, Deborah J. Smyth, Mary D Fortune, et al.. (2014). A Method for Gene‐Based Pathway Analysis Using Genomewide Association Study Summary Statistics Reveals Nine New Type 1 Diabetes Associations. Genetic Epidemiology. 38(8). 661–670. 48 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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