Jonathan Ginns

857 citations
33 papers · 528 · h-index 15

Impact in

Papers in

Jonathan Ginns

32 papers receiving 514 citations

Peers

Jonathan Ginns
Comparison fields: 5 of 59
  • Cardiology and Cardiovascular Medicine 275
  • Epidemiology 332
  • Pulmonary and Respiratory Medicine 189
  • Surgery 238
  • Cancer Research 32
Replace Brunilda Alushi with:
Brunilda Alushi Germany
John P. Sweeney United States
Munetaka Masuda Japan
Johan Holm Sweden
Koki Shishido Japan
Anna Sabaté-Rotés Spain
Akira Ishizawa Japan
Ayşe Güler Eroğlu Türkiye
Marcin Gabriel Poland
John A. Carey United States
Jonathan Ginns relative to Brunilda Alushi Germany Brunilda Alushi's profile →
Citations per field
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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 2017140
2 201564
3 201731
4 201927
5 201626
6 201419
7 201917
8 201817
9 201417
10 202017
11 201017
12 201816
13 202215
14 202015
15 201314
16 201510
17 20229
18 20169
19 20138
20 20187

About Jonathan Ginns

Jonathan Ginns is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 33 papers that have together received 528 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (22 papers), Cardiomyopathy and Myosin Studies (7 papers), Cardiac Valve Diseases and Treatments (7 papers), Cardiac Structural Anomalies and Repair (6 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiovascular Issues in Pregnancy (5 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Mechanical Circulatory Support Devices (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (275 citations), Epidemiology (332 citations), Pulmonary and Respiratory Medicine (189 citations), Surgery (238 citations) and Cancer Research (32 citations). Jonathan Ginns has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Marlon Rosenbaum, Matthew Lewis, Fred Wu, Michael G. Earing, Harsimran Singh, Hiroo Takayama, Michael H. Gewitz, Joseph D. Kay, Luke J. Burchill and Shi‐Joon Yoo. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, The Annals of Thoracic Surgery, International Journal of Cardiology 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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