Matthew Joe Grima

46 total papers · 509 total citations
23 papers, 254 citations indexed

About

Matthew Joe Grima is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew Joe Grima has authored 23 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 13 papers in Surgery and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew Joe Grima's work include Aortic aneurysm repair treatments (15 papers), Aortic Disease and Treatment Approaches (8 papers) and Cardiac, Anesthesia and Surgical Outcomes (8 papers). Matthew Joe Grima is often cited by papers focused on Aortic aneurysm repair treatments (15 papers), Aortic Disease and Treatment Approaches (8 papers) and Cardiac, Anesthesia and Surgical Outcomes (8 papers). Matthew Joe Grima collaborates with scholars based in United Kingdom, Sweden and Malta. Matthew Joe Grima's co-authors include Peter Holt, Benjamin O. Patterson, Ian Loftus, Mourad Boufi, Alan Karthikesalingam, Anders Wanhainen, Matt Thompson, David Lindström, Kevin Mani and Laurent Boyer and has published in prestigious journals such as British journal of surgery, The Annals of Thoracic Surgery and Journal of Vascular Surgery.

In The Last Decade

Matthew Joe Grima

22 papers receiving 252 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Matthew Joe Grima	225	131	107	10	9	23	254
A. Barba	262 1.2×	173 1.3×	132 1.2×	17 1.7×	7 0.8×	18	330
Mirza S. Baig	244 1.1×	60 0.5×	182 1.7×	16 1.6×	10 1.1×	39	294
Ramesh Velu	198 0.9×	87 0.7×	202 1.9×	19 1.9×	9 1.0×	29	301
Audrey R. Wilson	211 0.9×	94 0.7×	221 2.1×	22 2.2×	7 0.8×	19	325
Olufemi Oshin	210 0.9×	130 1.0×	72 0.7×	6 0.6×	5 0.6×	23	250
Sam Waton	219 1.0×	156 1.2×	132 1.2×	39 3.9×	6 0.7×	24	304
Christian deVirgilio	263 1.2×	124 0.9×	119 1.1×	13 1.3×	14 1.6×	23	328
H. W. Kniemeyer	255 1.1×	140 1.1×	96 0.9×	8 0.8×	11 1.2×	20	271
Elie Girsowicz	200 0.9×	91 0.7×	176 1.6×	36 3.6×	3 0.3×	36	273
L. Estallo	257 1.1×	173 1.3×	125 1.2×	17 1.7×	7 0.8×	14	305

Countries citing papers authored by Matthew Joe Grima

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Joe Grima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Joe Grima

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

All Works

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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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