Jonathan Ginns

880 citations
33 papers · 540 · h-index 15

Impact in

Papers in

Jonathan Ginns

32 papers receiving 528 citations

Peers

Jonathan Ginns
Comparison fields: 5 of 52
  • Cardiology and Cardiovascular Medicine 189
  • Epidemiology 289
  • Surgery 173
  • Pulmonary and Respiratory Medicine 115
  • Cancer Research 24
Replace Brunilda Alushi with:
Brunilda Alushi Germany
Spyridon Rammos Greece
Silja E.C. Spitaels Netherlands
Ovidio De Filippo Italy
Motoki Takamuro Japan
Bartolo Zingone Italy
Donald M. Botta United States
Silvia Frattini Italy
Akira Ishizawa Japan
Konstantinos Toutouzas Greece
Jonathan Ginns relative to Brunilda Alushi Germany Brunilda Alushi's profile →
Citations per field
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Brunilda Alushi · 1×
Citations per year

Countries citing papers authored by Jonathan Ginns

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Ginns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Ginns, 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 Jonathan Ginns Line = papers co-authored together Jonathan Ginns links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017143
2 201565
3 201731
4 201928
5 201626
6 201419
7 202218
8 201917
9 201417
10 201817
11 202017
12 202017
13 201017
14 201816
15 201314
16 201510
17 20229
18 20169
19 20138
20 20188

About Jonathan Ginns

Jonathan Ginns is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 33 papers that have together received 540 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (19 papers), Cardiomyopathy and Myosin Studies (7 papers), Cardiovascular Issues in Pregnancy (4 papers), Mechanical Circulatory Support Devices (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Cardiovascular Function and Risk Factors (3 papers), Cardiac Structural Anomalies and Repair (3 papers) and Coronary Artery Anomalies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (189 citations), Epidemiology (289 citations), Surgery (173 citations), Pulmonary and Respiratory Medicine (115 citations) and Cancer Research (24 citations). Jonathan Ginns has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Marlon Rosenbaum, Matthew Lewis, Fred Wu, Michael G. Earing, Hiroo Takayama, Harsimran Singh, Yuichi J. Shimada, Yuli Y. Kim, Jason F. Deen and Arwa Saidi. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, International Journal of Cardiology, The Annals of Thoracic Surgery and Journal of Thoracic and Cardiovascular Surgery.

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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