Matthew Greig

766 total citations
9 papers, 451 citations indexed

About

Matthew Greig is a scholar working on Infectious Diseases, Geriatrics and Gerontology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew Greig has authored 9 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Geriatrics and Gerontology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew Greig's work include Frailty in Older Adults (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Matthew Greig is often cited by papers focused on Frailty in Older Adults (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Matthew Greig collaborates with scholars based in United Kingdom, Canada and United States. Matthew Greig's co-authors include Robert Givan, Thomas Dean, Marc‐André Langlois, Yannick Galipeau, Chaojie Liu, Kathryn McCarthy, Phyo Kyaw Myint, Lyndsay Pearce, Michael Stechman and Jonathan Hewitt and has published in prestigious journals such as Nature Communications, Frontiers in Immunology and Artificial Intelligence.

In The Last Decade

Matthew Greig

9 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Greig United Kingdom 7 175 133 46 43 40 9 451
Gianfranco Politano Italy 15 68 0.4× 30 0.2× 21 0.5× 38 0.9× 97 2.4× 69 730
Yi‐Ju Tseng Taiwan 16 75 0.4× 165 1.2× 23 0.5× 6 0.1× 159 4.0× 64 784
John J. O’Donnell United States 17 28 0.2× 65 0.5× 101 2.2× 40 0.9× 60 1.5× 54 1.3k
Gina Barnes United States 13 43 0.2× 129 1.0× 44 1.0× 4 0.1× 104 2.6× 31 486
Shuang Xu China 13 162 0.9× 18 0.1× 37 0.8× 16 0.4× 78 1.9× 27 636
Tomi Poutanen Canada 8 110 0.6× 166 1.2× 24 0.5× 8 0.2× 25 0.6× 11 457
Naeem Ullah Pakistan 17 55 0.3× 205 1.5× 16 0.3× 8 0.2× 73 1.8× 68 885
Xia Chen China 8 50 0.3× 39 0.3× 8 0.2× 10 0.2× 38 0.9× 29 242
Robert S. Galen United States 14 46 0.3× 83 0.6× 125 2.7× 24 0.6× 96 2.4× 36 790
Michael Lingzhi Li United States 10 28 0.2× 90 0.7× 62 1.3× 15 0.3× 42 1.1× 31 445

Countries citing papers authored by Matthew Greig

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Greig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Greig

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

All Works

9 of 9 papers shown
1.
Renner, Tyler M., Kasandra Bélanger, Matthew Greig, et al.. (2023). Antiretroviral APOBEC3 cytidine deaminases alter HIV-1 provirus integration site profiles. Nature Communications. 14(1). 16–16. 7 indexed citations
2.
Galipeau, Yannick, Vinayakumar Siragam, Geneviève Laroche, et al.. (2021). Relative Ratios of Human Seasonal Coronavirus Antibodies Predict the Efficiency of Cross-Neutralization of SARS-CoV-2 Spike Binding to ACE2. EBioMedicine. 74. 103700–103700. 32 indexed citations
3.
Galipeau, Yannick, et al.. (2020). Humoral Responses and Serological Assays in SARS-CoV-2 Infections. Frontiers in Immunology. 11. 610688–610688. 160 indexed citations
4.
Hewitt, Jonathan, Michael Stechman, Matthew Greig, et al.. (2019). The Prevalence of Delirium in An Older Acute Surgical Population and Its Effect on Outcome. Geriatrics. 4(4). 57–57. 4 indexed citations
5.
Evans, Louis, Ben Carter, Matthew Greig, et al.. (2017). Preoperative kidney function linked to mortality and readmission outcomes at Day 90 and 30 in older emergency surgical patients. European Geriatric Medicine. 8(3). 216–220. 3 indexed citations
6.
Hewitt, Jonathan, Matthew Greig, Jennifer Law, et al.. (2016). Prevalence of multimorbidity and its association with outcomes in older emergency general surgical patients: an observational study. BMJ Open. 6(3). e010126–e010126. 65 indexed citations
7.
Myint, Phyo Kyaw, Lyndsay Pearce, Matthew Greig, et al.. (2016). The prevalence of hyperglycaemia and its relationship with mortality, readmissions and length of stay in an older acute surgical population: a multicentre study. Postgraduate Medical Journal. 92(1091). 514–519. 6 indexed citations
8.
Greig, Matthew, et al.. (2013). Routine pharmacological venous thromboembolism prophylaxis in frail older hospitalised patients: where is the evidence?. Age and Ageing. 42(4). 428–434. 7 indexed citations
9.
Givan, Robert, Thomas Dean, & Matthew Greig. (2003). Equivalence notions and model minimization in Markov decision processes. Artificial Intelligence. 147(1-2). 163–223. 167 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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