Eva M. Staal

830 total citations
18 papers, 650 citations indexed

About

Eva M. Staal is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Eva M. Staal has authored 18 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Surgery. Recurrent topics in Eva M. Staal's work include Cardiac Imaging and Diagnostics (8 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac Valve Diseases and Treatments (4 papers). Eva M. Staal is often cited by papers focused on Cardiac Imaging and Diagnostics (8 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac Valve Diseases and Treatments (4 papers). Eva M. Staal collaborates with scholars based in Norway, Netherlands and Denmark. Eva M. Staal's co-authors include Eva Gerdts, Dana Cramariuc, Åshild E. Rieck, Kristian Wachtell, Paul Steendijk, J. Wouter Jukema, Jan Baan, Anne B. Rossebø, Peter Scott Munk and Kjetil Isaksen and has published in prestigious journals such as Hypertension, Critical Care Medicine and The American Journal of Cardiology.

In The Last Decade

Eva M. Staal

17 papers receiving 628 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva M. Staal Norway 9 576 233 145 95 94 18 650
Muaz M. Abudiab United States 9 672 1.2× 233 1.0× 96 0.7× 144 1.5× 104 1.1× 16 753
Benedetta Maria Natali Italy 13 831 1.4× 306 1.3× 104 0.7× 61 0.6× 92 1.0× 21 879
Paul Nellens Belgium 10 441 0.8× 160 0.7× 136 0.9× 68 0.7× 88 0.9× 17 580
Aristomenis Manouras Sweden 14 436 0.8× 152 0.7× 117 0.8× 121 1.3× 30 0.3× 54 523
Martin Stout United Kingdom 13 395 0.7× 120 0.5× 113 0.8× 113 1.2× 28 0.3× 21 561
Luna Cavigli Italy 15 520 0.9× 128 0.5× 78 0.5× 68 0.7× 110 1.2× 63 611
Kevin Liou Australia 14 483 0.8× 130 0.6× 242 1.7× 112 1.2× 183 1.9× 31 639
S. A. Goldberg United States 4 723 1.3× 264 1.1× 183 1.3× 65 0.7× 93 1.0× 6 811
Saleh Saleh United States 11 532 0.9× 163 0.7× 243 1.7× 92 1.0× 21 0.2× 22 697
Nathalie Renaud France 11 414 0.7× 61 0.3× 162 1.1× 61 0.6× 158 1.7× 17 511

Countries citing papers authored by Eva M. Staal

Since Specialization
Citations

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

Fields of papers citing papers by Eva M. Staal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva M. Staal. 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 M. Staal. The network helps show where Eva M. Staal may publish in the future.

Co-authorship network of co-authors of Eva M. Staal

This figure shows the co-authorship network connecting the top 25 collaborators of Eva M. Staal. A scholar is included among the top collaborators of Eva M. Staal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva M. Staal. Eva M. Staal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Vikse, Jens, et al.. (2019). Lilla urinpose-syndrom. Tidsskrift for Den norske legeforening. 139(6). 1 indexed citations
2.
Apeland, Terje, et al.. (2017). Risk factors for exertional rhabdomyolysis with renal stress. BMJ Open Sport & Exercise Medicine. 3(1). e000241–e000241. 11 indexed citations
3.
Rieck, Åshild E., Dana Cramariuc, Kurt Boman, et al.. (2012). Hypertension in Aortic Stenosis. Hypertension. 60(1). 90–97. 87 indexed citations
4.
Lønnebakken, Mai Tone, Eva M. Staal, Jan Erik Nordrehaug, & Eva Gerdts. (2011). Usefulness of Contrast Echocardiography for Predicting the Severity of Angiographic Coronary Disease in Non–ST-Elevation Myocardial Infarction. The American Journal of Cardiology. 107(9). 1262–1267. 7 indexed citations
5.
Cramariuc, Dana, et al.. (2010). Impact of hypertension on left ventricular structure in patients with asymptomatic aortic valve stenosis (a SEAS substudy). Journal of Hypertension. 28(2). 377–383. 45 indexed citations
6.
Munk, Peter Scott, et al.. (2009). High-intensity interval training may reduce in-stent restenosis following percutaneous coronary intervention with stent implantation. American Heart Journal. 158(5). 734–741. 121 indexed citations
7.
Cramariuc, Dana, Giovanni Cioffi, Åshild E. Rieck, et al.. (2009). Low-Flow Aortic Stenosis in Asymptomatic Patients. JACC. Cardiovascular imaging. 2(4). 390–399. 167 indexed citations
8.
Lønnebakken, Mai Tone, Eva M. Staal, Øyvind Bleie, et al.. (2009). Quantitative contrast stress echocardiography in assessment of restenosis after percutaneous coronary intervention in stable coronary artery disease. European Journal of Echocardiography. 10(7). 858–864. 1 indexed citations
9.
Lønnebakken, Mai Tone, Øyvind Bleie, Elin Strand, et al.. (2008). Myocardial Contrast Echocardiography in Assessment of Stable Coronary Artery Disease at Intermediate Dobutamine‐Induced Stress Level. Echocardiography. 26(1). 52–60. 11 indexed citations
10.
Cramariuc, Dana, Åshild E. Rieck, Eva M. Staal, et al.. (2007). Factors Influencing Left Ventricular Structure and Stress-Corrected Systolic Function in Men and Women With Asymptomatic Aortic Valve Stenosis (a SEAS Substudy). The American Journal of Cardiology. 101(4). 510–515. 68 indexed citations
11.
Staal, Eva M., Jan Baan, J. Wouter Jukema, Ernst E. van der Wall, & Paul Steendijk. (2004). Assessment of parallel conductance for the trans-cardiac conductance method: can we use the hypertonic saline method with pulmonary artery injections?. Physiological Measurement. 25(2). 565–576. 2 indexed citations
12.
Staal, Eva M., Ottar Nygård, Per Omvik, & Eva Gerdts. (2004). Blood pressure measurements by the Keito machine. Evaluation versus office blood pressure by physicians. Blood Pressure Monitoring. 9(3). 167–172. 2 indexed citations
13.
Staal, Eva M., Jan Baan, J. Wouter Jukema, Ernst E. van der Wall, & Paul Steendijk. (2004). Transcardiac conductance for continuous measurement of left ventricular volume: validation vs. angiography in patients. Intensive Care Medicine. 30(7). 1370–1376. 3 indexed citations
14.
Staal, Eva M., J. Wouter Jukema, Gerhard Koning, et al.. (2003). End-diastolic and end-systolic volume from the left ventricular angiogram: how accurate is visual frame selection?. International journal of cardiac imaging. 19(4). 259–266. 3 indexed citations
15.
Staal, Eva M., Paul Steendijk, & Jan Baan. (2003). The trans-cardiac conductance method for on-line measurement of left ventricular volume: assessment of parallel conductance offset volume. IEEE Transactions on Biomedical Engineering. 50(2). 234–240. 6 indexed citations
16.
Staal, Eva M., et al.. (2002). Continuous on-line measurement of absolute left ventricular volume by transcardiac conductance: Angiographic validation in sheep. Critical Care Medicine. 30(6). 1301–1305. 8 indexed citations
17.
Steendijk, Paul, Eva M. Staal, J. Wouter Jukema, & Jan Baan. (2001). Hypertonic saline method accurately determines parallel conductance for dual-field conductance catheter. American Journal of Physiology-Heart and Circulatory Physiology. 281(2). H755–H763. 107 indexed citations
18.
Staal, Eva M., et al.. (1975). Cough irritation by deodorant sprays.

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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