Eva Swahn

884 total citations
16 papers, 381 citations indexed

About

Eva Swahn is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Eva Swahn has authored 16 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 4 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Eva Swahn's work include Acute Myocardial Infarction Research (7 papers), Congenital Heart Disease Studies (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). Eva Swahn is often cited by papers focused on Acute Myocardial Infarction Research (7 papers), Congenital Heart Disease Studies (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). Eva Swahn collaborates with scholars based in Sweden, Denmark and Netherlands. Eva Swahn's co-authors include Anna Strömberg, I. Johansson, Angela H.E.M. Maas, Yolande Appelman, Gerard Pasterkamp, Hugo Ten Cate, Henk J. Stam, Karin Eizema, Menno V. Huisman and P. M. Nilsson and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and Heart.

In The Last Decade

Eva Swahn

14 papers receiving 361 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 Swahn Sweden 7 269 65 64 60 48 16 381
Ulf Gieseler Germany 10 290 1.1× 67 1.0× 88 1.4× 54 0.9× 48 1.0× 23 410
Shantanu Patil United States 13 230 0.9× 111 1.7× 27 0.4× 74 1.2× 16 0.3× 20 329
Con Aroney Australia 8 304 1.1× 97 1.5× 107 1.7× 25 0.4× 16 0.3× 23 400
Hamang Patel United States 8 200 0.7× 141 2.2× 23 0.4× 17 0.3× 66 1.4× 22 422
Michael Ottesen Denmark 12 492 1.8× 62 1.0× 94 1.5× 85 1.4× 33 0.7× 25 589
James A. deLemos United States 9 315 1.2× 117 1.8× 84 1.3× 81 1.4× 20 0.4× 12 424
A. D. Simms United Kingdom 6 200 0.7× 52 0.8× 76 1.2× 16 0.3× 16 0.3× 8 333
Amit Kaushal United States 8 46 0.2× 50 0.8× 26 0.4× 31 0.5× 66 1.4× 19 368
Peter R. Mitoff Canada 9 373 1.4× 48 0.7× 43 0.7× 36 0.6× 28 0.6× 13 461
Elizabeth Walters United States 9 175 0.7× 50 0.8× 14 0.2× 88 1.5× 27 0.6× 21 334

Countries citing papers authored by Eva Swahn

Since Specialization
Citations

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

Fields of papers citing papers by Eva Swahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Swahn

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Swahn. A scholar is included among the top collaborators of Eva Swahn 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 Swahn. Eva Swahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Nilsson, Lennart, Kwok Leung Ong, Karin Festin, et al.. (2022). Investigation of type 1 collagen a1 chain in plasma as a potential novel biomarker for prediction of coronary heart disease. European Heart Journal. 43(Supplement_2).
2.
Nielsen, Signe Holm, Annelie Shami, Lena Jonasson, et al.. (2020). Collagen remodeling markers show differentiated expression in patients with ST- and non-ST elevation myocardial infarction. European Heart Journal. 41(Supplement_2).
3.
Venetsanos, Dimitrios, Sofia Sederholm Lawesson, Ole Fröbert, et al.. (2018). Sex-related response to bivalirudin and unfractionated heparin in patients with acute myocardial infarction undergoing percutaneous coronary intervention: A subgroup analysis of the VALIDATE-SWEDEHEART trial. European Heart Journal Acute Cardiovascular Care. 8(6). 502–509. 6 indexed citations
4.
Ericsson, Madelene, et al.. (2014). Differences in symptom presentation in STEMI patients, with or without a previous history of hypertension : a survey report from the SymTime study group. European Heart Journal. 35. 908–908. 2 indexed citations
5.
Nielsen, Niels Erik, et al.. (2012). Development and evaluation of a computer-based educational program for adults with congenitally malformed hearts. European Journal of Cardiovascular Nursing. 12(1). 78–86. 4 indexed citations
6.
Maas, Angela H.E.M., Yvonne T. van der Schouw, Vera Regitz‐Zagrosek, et al.. (2011). Red alert for women's heart: the urgent need for more research and knowledge on cardiovascular disease in women: Proceedings of the Workshop held in Brussels on Gender Differences in Cardiovascular disease, 29 September 2010. European Heart Journal. 32(11). 1362–1368. 200 indexed citations
7.
Nielsen, Niels Erik, et al.. (2010). Description and initial evaluation of an educational and psychosocial support model for adults with congenitally malformed hearts. Patient Education and Counseling. 83(2). 247–251. 4 indexed citations
8.
Nielsen, Niels Erik, et al.. (2008). Educational needs in adults with congenitally malformed hearts. Cardiology in the Young. 18(5). 473–479. 15 indexed citations
9.
Johansson, I., Eva Swahn, & Anna Strömberg. (2008). Spouses' Conceptions of the Pre-Hospital Phase When Their Partners Suffered an Acute Myocardial Infarction — A Qualitative Analysis. European Journal of Cardiovascular Nursing. 7(3). 182–188. 7 indexed citations
10.
Swahn, Eva, et al.. (2006). 1409: Development of a knowledge questionnaire for adults with congenital heart disease. European Journal of Cardiovascular Nursing. 5(1_suppl). 50–51. 1 indexed citations
11.
Johansson, I., Anna Strömberg, & Eva Swahn. (2004). Ambulance Use in Patients With Acute Myocardial Infarction. The Journal of Cardiovascular Nursing. 19(1). 5–12. 53 indexed citations
12.
Quintana, Miguel, Paul Hjemdahl, Alf Sollevi, et al.. (2003). Left ventricular function and cardiovascular events following adjuvant therapy with adenosine in acute myocardial infarction treated with thrombolysis. European Journal of Clinical Pharmacology. 59(1). 1–9. 57 indexed citations
13.
Levin, Lisa A., Magnus Janzon, & Eva Swahn. (2003). PCV48 LONG-TERM COST-EFFECTIVENESS OF INVASIVE STRATEGY IN PATIENT WITH UNSTABLE CORONARY ARTERY DISEASE-RESULTS FROM THE FRISC-II TRIAL. Value in Health. 6(6). 661–661. 3 indexed citations
14.
Säfström, Kåge, Eva Swahn, & Bertil Lindahl. (2000). Risk stratification in unstable coronary artery disease. Journal of the American College of Cardiology. 35(7). 1791–1800. 18 indexed citations
15.
Blomstrand, Peter, Jan Engvall, Eva Swahn, et al.. (1996). Cardiovascular effects of dobutamine stress testing in women with suspected coronary artery disease.. Heart. 75(5). 463–468. 8 indexed citations
16.
Swahn, Eva & H. von Schenck. (1993). Prognostic importance of plasma lipoprotein-analyses in patients with unstable coronary artery disease. Scandinavian Journal of Clinical and Laboratory Investigation. 53(3). 289–295. 3 indexed citations

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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