Margaret Arstall

205 total papers · 3.4k total citations
99 papers, 1.8k citations indexed

About

Margaret Arstall is a scholar working on Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, Margaret Arstall has authored 99 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Cardiology and Cardiovascular Medicine, 23 papers in Obstetrics and Gynecology and 18 papers in Surgery. Recurrent topics in Margaret Arstall's work include Acute Myocardial Infarction Research (20 papers), Pregnancy and preeclampsia studies (18 papers) and Cardiac Imaging and Diagnostics (18 papers). Margaret Arstall is often cited by papers focused on Acute Myocardial Infarction Research (20 papers), Pregnancy and preeclampsia studies (18 papers) and Cardiac Imaging and Diagnostics (18 papers). Margaret Arstall collaborates with scholars based in Australia, United States and China. Margaret Arstall's co-authors include Ralph A. Kelly, Douglas B. Sawyer, Ryuji Fukazawa, John D. Horowitz, Thomas Michel, Olivier Féron, John F. Beltrame, C. Zeitz, Irene Stafford and Prabha H. Andraweera and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Margaret Arstall

91 papers receiving 1.7k citations

Author Peers

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

Author						Papers	Cites
Margaret Arstall	847	521	445	315	183	99	1.8k
Masashi Nishida	370 0.4×	733 1.4×	357 0.8×	476 1.5×	284 1.6×	87	2.2k
Xiaobo Zhou	936 1.1×	583 1.1×	110 0.2×	256 0.8×	246 1.3×	102	1.8k
Dulcenombre Gómez‐Garré	762 0.9×	507 1.0×	528 1.2×	122 0.4×	286 1.6×	65	2.1k
Erdinç Çakır	451 0.5×	377 0.7×	332 0.7×	170 0.5×	354 1.9×	68	2.2k
Pierre Sicard	739 0.9×	849 1.6×	319 0.7×	209 0.7×	288 1.6×	92	2.2k
Ninian N. Lang	901 1.1×	435 0.8×	286 0.6×	185 0.6×	216 1.2×	86	2.1k
Mohinder P. Sambhi	924 1.1×	423 0.8×	179 0.4×	102 0.3×	206 1.1×	98	2.2k
Paul C. Churchill	867 1.0×	797 1.5×	431 1.0×	102 0.3×	217 1.2×	107	2.3k
Jean‐François Giudicelli	1.2k 1.4×	363 0.7×	336 0.8×	151 0.5×	351 1.9×	73	2.0k
Peter F. Mount	267 0.3×	652 1.3×	430 1.0×	153 0.5×	391 2.1×	63	1.9k

Countries citing papers authored by Margaret Arstall

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Arstall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Arstall

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