Eva Sames-Dolzer

625 citations
34 papers · 445 · h-index 12

Impact in

Papers in

Eva Sames-Dolzer

32 papers receiving 428 citations

Peers

Eva Sames-Dolzer
Comparison fields: 5 of 27
  • Epidemiology 343
  • Pulmonary and Respiratory Medicine 147
  • Cardiology and Cardiovascular Medicine 95
  • Surgery 118
  • Developmental Neuroscience 7
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Cheryl A. Nowak United States
Ed Petrossian United States
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Citations per field
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Citations per year

Countries citing papers authored by Eva Sames-Dolzer

Since Specialization
Citations

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

Fields of papers citing papers by Eva Sames-Dolzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Sames-Dolzer. 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 Eva Sames-Dolzer. The network helps show where Eva Sames-Dolzer may publish in the future.

Co-authors

The 22 scholars most cited alongside Eva Sames-Dolzer, 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 Eva Sames-Dolzer Line = papers co-authored together Eva Sames-Dolzer 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 200891
2 200756
3 200937
4 202135
5 200724
6 201824
7 200624
8 201724
9 201521
10 201814
11 202113
12 201713
13 201811
14 20148
15 20208
16 20177
17 20205
18 20234
19 20214
20 20153

About Eva Sames-Dolzer

Eva Sames-Dolzer is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 445 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (24 papers), Aortic Disease and Treatment Approaches (6 papers), Infective Endocarditis Diagnosis and Management (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Coronary Artery Anomalies (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper) and Infectious Aortic and Vascular Conditions (1 paper). The work is most often cited by research in Epidemiology (343 citations), Pulmonary and Respiratory Medicine (147 citations), Cardiology and Cardiovascular Medicine (95 citations), Surgery (118 citations) and Developmental Neuroscience (7 citations). Eva Sames-Dolzer has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Rudolf Mair, Gerald Tulzer, Evelyn Lechner, Anna Hofer, Michaela Kreuzer, Andreas Tulzer, Roland Gitter, Andreas F. Zierer, Wolfgang Schimetta and David Vondrys. Their work appears in journals such as European Journal of Cardio-Thoracic Surgery, Interactive Cardiovascular and Thoracic Surgery, Ultrasound in Obstetrics and Gynecology, 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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