Mary Ellen Sweeney

67 total papers · 868 total citations
30 papers, 435 citations indexed

About

Mary Ellen Sweeney is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Mary Ellen Sweeney has authored 30 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Cardiology and Cardiovascular Medicine and 5 papers in Surgery. Recurrent topics in Mary Ellen Sweeney's work include Blood Pressure and Hypertension Studies (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diabetes Treatment and Management (4 papers). Mary Ellen Sweeney is often cited by papers focused on Blood Pressure and Hypertension Studies (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diabetes Treatment and Management (4 papers). Mary Ellen Sweeney collaborates with scholars based in United States, Canada and Australia. Mary Ellen Sweeney's co-authors include Gerald F. Fletcher, Barbara J. Fletcher, David C. Goff, Anona Armstrong, Barry R. Davis, Lawrence A. Leiter, John B. Buse, Robert P. Byington, Carlos López and Daniel Weiß and has published in prestigious journals such as Circulation, Diabetes Care and The American Journal of Medicine.

In The Last Decade

Mary Ellen Sweeney

29 papers receiving 410 citations

Author Peers

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

Author						Papers	Cites
Mary Ellen Sweeney	155	148	131	49	38	30	435
Grzegorz K. Jakubiak	164 1.1×	123 0.8×	135 1.0×	69 1.4×	65 1.7×	31	490
Luis A. Álvarez-Sala	117 0.8×	73 0.5×	88 0.7×	29 0.6×	48 1.3×	24	432
A G Olsson	191 1.2×	70 0.5×	136 1.0×	40 0.8×	47 1.2×	20	481
Masayoshi Koyasu	189 1.2×	117 0.8×	118 0.9×	41 0.8×	53 1.4×	22	414
Coral Pepper	101 0.7×	68 0.5×	129 1.0×	42 0.9×	41 1.1×	21	400
Jacek Jerzy Jozwiak	192 1.2×	125 0.8×	216 1.6×	49 1.0×	26 0.7×	53	492
Peter D. Montan	97 0.6×	160 1.1×	197 1.5×	51 1.0×	102 2.7×	14	488
Teresa Mantilla	225 1.5×	197 1.3×	155 1.2×	36 0.7×	11 0.3×	30	451
PR Jackson	114 0.7×	117 0.8×	83 0.6×	43 0.9×	51 1.3×	21	458
S. De Riu	132 0.9×	135 0.9×	62 0.5×	53 1.1×	87 2.3×	17	395

Countries citing papers authored by Mary Ellen Sweeney

Since Specialization

Citations

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

Fields of papers citing papers by Mary Ellen Sweeney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Ellen Sweeney. 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 Mary Ellen Sweeney. The network helps show where Mary Ellen Sweeney may publish in the future.

Co-authorship network of co-authors of Mary Ellen Sweeney

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Ellen Sweeney. A scholar is included among the top collaborators of Mary Ellen Sweeney 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 Mary Ellen Sweeney. Mary Ellen Sweeney 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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