Mark Sweeney

1.6k citations
34 papers · 837 · h-index 12

Impact in

Papers in

Mark Sweeney

32 papers receiving 819 citations

Peers

Mark Sweeney
Comparison fields: 5 of 117
  • Cardiology and Cardiovascular Medicine 238
  • Aging 13
  • Cancer Research 92
  • Genetics 59
  • Molecular Biology 353
Replace Chun‐Chieh Wang with:
Chun‐Chieh Wang Taiwan
Daniel F. Freitag Germany
Virginie Monceau France
Liyong Zhang China
Satyajit Bhattacharya United Kingdom
Nicolas Perrot France
Selene Capitanio Italy
Dae Joon Kim South Korea
Daniel A. Zlotoff United States
Mark Sweeney relative to Chun‐Chieh Wang Taiwan Chun‐Chieh Wang's profile →
Citations per field
00.5×2.6×
Chun‐Chieh Wang · 1×
Citations per year

Countries citing papers authored by Mark Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by Mark Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Sweeney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Sweeney Line = papers co-authored together Mark Sweeney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010256
2 2020127
3 2018121
4 202062
5 200934
6 202233
7 201731
8 201930
9 199220
10 199016
11 202115
12 202315
13 202011
14
International differences in the epidemiology of male erectile dysfunction.
19999
15 19878
16 20237
17 20197
18 20234
19 20234
20 20164

About Mark Sweeney

Mark Sweeney is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Family Practice and Information Systems, having authored 34 papers that have together received 837 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (4 papers), Cardiovascular Function and Risk Factors (4 papers), Medication Adherence and Compliance (3 papers), Heart Failure Treatment and Management (3 papers), Seismic Waves and Analysis (2 papers), Viral Infections and Immunology Research (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Information and Cyber Security (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (238 citations), Aging (13 citations), Cancer Research (92 citations), Genetics (59 citations) and Molecular Biology (353 citations). Mark Sweeney has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Stuart A. Cook, Gábor Földes, Ben Corden, Jasenka Guduric‐Fuchs, Alan W. Stitt, Ciarán O’Neill, David Simpson, Reinhold J. Medina, Tom A. Gardiner and Simone Hochgreb. Their work appears in journals such as ESC Heart Failure, FEBS Journal, Cardiovascular Research, EMBO Molecular Medicine and Psychiatry Research.

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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