Stephen MacDonald

45 total papers · 835 total citations
22 papers, 553 citations indexed

About

Stephen MacDonald is a scholar working on Hematology, Internal Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Stephen MacDonald has authored 22 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 7 papers in Internal Medicine and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Stephen MacDonald's work include Venous Thromboembolism Diagnosis and Management (7 papers), Platelet Disorders and Treatments (7 papers) and Atrial Fibrillation Management and Outcomes (5 papers). Stephen MacDonald is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (7 papers), Platelet Disorders and Treatments (7 papers) and Atrial Fibrillation Management and Outcomes (5 papers). Stephen MacDonald collaborates with scholars based in United Kingdom, Ireland and Germany. Stephen MacDonald's co-authors include Martin Besser, Roger Luddington, Will Thomas, Danielle White, William Thomas, Caroline Baglin, Astrid van Hylckama Vlieg, Trevor Baglin, R. Luddington and Frits R. Rosendaal and has published in prestigious journals such as Transplantation, British Journal of Haematology and Thrombosis and Haemostasis.

In The Last Decade

Stephen MacDonald

22 papers receiving 541 citations

Author Peers

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

Author						Papers	Cites
Stephen MacDonald	194	182	151	129	84	22	553
Maria Magnusson	246 1.3×	82 0.5×	122 0.8×	242 1.9×	95 1.1×	26	657
Catherine Rea	102 0.5×	324 1.8×	122 0.8×	31 0.2×	84 1.0×	20	612
Toshimasa Uchiyama	231 1.2×	251 1.4×	39 0.3×	118 0.9×	143 1.7×	43	663
Helene Häberle	67 0.3×	77 0.4×	229 1.5×	95 0.7×	50 0.6×	24	625
Andrew Retter	77 0.4×	89 0.5×	96 0.6×	110 0.9×	123 1.5×	43	665
Inga Hegemann	74 0.4×	234 1.3×	71 0.5×	51 0.4×	65 0.8×	26	497
Emily Rimmer	58 0.3×	171 0.9×	51 0.3×	45 0.3×	92 1.1×	38	562
Elias Kyriakou	102 0.5×	217 1.2×	36 0.2×	117 0.9×	73 0.9×	35	567
Carl-Erik Dempfle	194 1.0×	151 0.8×	28 0.2×	127 1.0×	112 1.3×	24	602
Terry Gernsheimer	89 0.5×	279 1.5×	52 0.3×	61 0.5×	143 1.7×	19	680

Countries citing papers authored by Stephen MacDonald

Since Specialization

Citations

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

Fields of papers citing papers by Stephen MacDonald

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen MacDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen MacDonald. A scholar is included among the top collaborators of Stephen MacDonald 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 Stephen MacDonald. Stephen MacDonald 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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