Edit Nagy
Impact in
-
- Cardiac Valve Diseases and Treatments
- Cardiovascular Issues in Pregnancy
- Acute Myocardial Infarction Research
- Epidemiology top 10%
- Congenital Heart Disease Studies
Papers in ⓘ
-
- Cardiac Valve Diseases and Treatments 7
- Cardiovascular Issues in Pregnancy 3
-
- Pulmonary Hypertension Research and Treatments 6
- Coronary Artery Anomalies 3
- Co-authors
- Magnus Bäck (8 shared papers)Lars Søndergaard (7 shared papers)Ulf Thilén (7 shared papers)Annette Schophuus Jensen (7 shared papers)Lars Idorn (5 shared papers)Keld E. Sørensen (5 shared papers)Anders Franco‐Cereceda (4 shared papers)Göran K. Hansson (3 shared papers)
In The Last Decade
Edit Nagy
27 papers receiving 744 citations
Peers
Comparison fields: 5 of 74
- Cardiology and Cardiovascular Medicine 467
- Epidemiology 304
- Pulmonary and Respiratory Medicine 286
- Critical Care and Intensive Care Medicine 27
- Radiology, Nuclear Medicine and Imaging 117
Countries citing papers authored by Edit Nagy
This map shows the geographic impact of Edit Nagy'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 Edit Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edit Nagy more than expected).
Fields of papers citing papers by Edit Nagy
This network shows the impact of papers produced by Edit Nagy. 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 Edit Nagy. The network helps show where Edit Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Edit Nagy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 138 | |
| 2 | 2012 | 115 | |
| 3 | 2011 | 73 | |
| 4 | 2013 | 49 | |
| 5 | 2017 | 48 | |
| 6 | 2015 | 48 | |
| 7 | 2013 | 38 | |
| 8 | 2016 | 35 | |
| 9 | 2012 | 35 | |
| 10 | 2013 | 32 | |
| 11 | 2006 | 28 | |
| 12 | 2012 | 20 | |
| 13 | 2017 | 19 | |
| 14 | 2012 | 17 | |
| 15 | 2012 | 16 | |
| 16 | 1976 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2008 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2015 | 4 |
About Edit Nagy
Edit Nagy is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 763 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (8 papers), Cardiac Valve Diseases and Treatments (7 papers), Pulmonary Hypertension Research and Treatments (6 papers), Infective Endocarditis Diagnosis and Management (4 papers), Cardiac Imaging and Diagnostics (4 papers), Coronary Artery Anomalies (3 papers), Cardiovascular Issues in Pregnancy (3 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (467 citations), Epidemiology (304 citations), Pulmonary and Respiratory Medicine (286 citations), Critical Care and Intensive Care Medicine (27 citations) and Radiology, Nuclear Medicine and Imaging (117 citations). Edit Nagy has collaborated with scholars based in Sweden, Denmark and Hungary. Frequent co-authors include Magnus Bäck, Lars Søndergaard, Ulf Thilén, Annette Schophuus Jensen, Lars Idorn, Keld E. Sørensen, Anders Franco‐Cereceda, Göran K. Hansson, Kenneth Caidahl and Per Eriksson. Their work appears in journals such as International Journal of Cardiology, Circulation, Heart, Journal of Hypertension and FEBS Letters.
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.