Christopher Grace

2.8k total citations
8 papers, 45 citations indexed

About

Christopher Grace is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Christopher Grace has authored 8 papers receiving a total of 45 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Genetics. Recurrent topics in Christopher Grace's work include Cardiomyopathy and Myosin Studies (5 papers), Congenital heart defects research (4 papers) and Genetic Associations and Epidemiology (3 papers). Christopher Grace is often cited by papers focused on Cardiomyopathy and Myosin Studies (5 papers), Congenital heart defects research (4 papers) and Genetic Associations and Epidemiology (3 papers). Christopher Grace collaborates with scholars based in United Kingdom, United States and Netherlands. Christopher Grace's co-authors include Anuj Goel, Hugh Watkins, Martin Farrall, Jemma C. Hopewell, Robert Clarke, Andrew R. Harper, Nay Aung, Luís R. Lopes, Sean J. Jurgens and Patricia B. Munroe and has published in prestigious journals such as Scientific Reports, European Heart Journal and BMC Bioinformatics.

In The Last Decade

Christopher Grace

7 papers receiving 45 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Grace United Kingdom 5 22 18 17 9 5 8 45
Xiuqing Guo United States 4 17 0.8× 37 2.1× 9 0.5× 3 0.3× 4 0.8× 8 74
Katharina E. Schraut United Kingdom 2 28 1.3× 34 1.9× 4 0.2× 15 1.7× 5 1.0× 3 75
Pavandip Singh Wasan Singapore 2 18 0.8× 31 1.7× 3 0.2× 10 1.1× 3 0.6× 2 48
Noah L. Tsao United States 4 19 0.9× 9 0.5× 9 0.5× 3 0.3× 2 0.4× 8 38
Marja-Liisa Nuotio Finland 3 32 1.5× 13 0.7× 3 0.2× 5 0.6× 2 0.4× 3 41
Julie Hathaway Canada 5 22 1.0× 33 1.8× 37 2.2× 2 0.2× 3 0.6× 9 69
Anselm Hoppmann Germany 4 16 0.7× 12 0.7× 12 0.7× 3 0.3× 1 0.2× 5 36
Nikolay Plotnikov Russia 4 12 0.5× 17 0.9× 2 0.1× 12 1.3× 4 0.8× 14 46
Svetlana Stoma United Kingdom 3 7 0.3× 10 0.6× 8 0.5× 10 1.1× 1 0.2× 6 32
Yongli Zeng China 3 14 0.6× 5 0.3× 4 0.2× 3 0.3× 5 1.0× 5 27

Countries citing papers authored by Christopher Grace

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Grace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Grace

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

All Works

8 of 8 papers shown
1.
Ormondroyd, Elizabeth, Christopher Grace, Anuj Goel, et al.. (2024). Genetic therapies for cardiomyopathy: survey of attitudes of the patient community for the CureHeart project. European Journal of Human Genetics. 32(9). 1045–1052.
2.
Tadros, Rafik, Christopher Grace, Paloma Jordà, et al.. (2023). Large scale genome-wide association analyses identify novel genetic loci and mechanisms in hypertrophic cardiomyopathy. European Heart Journal. 44(Supplement_2). 7 indexed citations
3.
Yu, Mengyao, Andrew R. Harper, Matthew Aguirre, et al.. (2023). Genetic Determinants of the Interventricular Septum Are Linked to Ventricular Septal Defects and Hypertrophic Cardiomyopathy. Circulation Genomic and Precision Medicine. 16(3). 207–215. 3 indexed citations
4.
Zheng, Sean L., Sean J. Jurgens, Kathryn A. McGurk, et al.. (2023). Polygenic risk score for hypertrophic cardiomyopathy predicts population disease risk, penetrance in sarcomeric rare variant carriers and survival in cases. European Heart Journal. 44(Supplement_2). 1 indexed citations
5.
Aung, Nay, Luís R. Lopes, Stefan van Duijvenboden, et al.. (2023). Genome-Wide Analysis of Left Ventricular Maximum Wall Thickness in the UK Biobank Cohort Reveals a Shared Genetic Background With Hypertrophic Cardiomyopathy. Circulation Genomic and Precision Medicine. 16(1). e003716–e003716. 13 indexed citations
6.
Grace, Christopher, Jemma C. Hopewell, Hugh Watkins, Martin Farrall, & Anuj Goel. (2021). Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes. Genetic Epidemiology. 46(1). 51–62. 5 indexed citations
7.
Grace, Christopher, Martin Farrall, Hugh Watkins, & Anuj Goel. (2019). Manhattan++: displaying genome-wide association summary statistics with multiple annotation layers. BMC Bioinformatics. 20(1). 610–610. 4 indexed citations
8.
Grace, Christopher, Robert Clarke, Anuj Goel, et al.. (2018). Lack of genetic support for shared aetiology of Coronary Artery Disease and Late-onset Alzheimer’s disease. Scientific Reports. 8(1). 7102–7102. 12 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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