Karin Strecker

1.3k total citations · 1 hit paper
17 papers, 948 citations indexed

About

Karin Strecker is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Oncology. According to data from OpenAlex, Karin Strecker has authored 17 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 4 papers in Genetics and 4 papers in Oncology. Recurrent topics in Karin Strecker's work include Heart Failure Treatment and Management (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Cardiac pacing and defibrillation studies (3 papers). Karin Strecker is often cited by papers focused on Heart Failure Treatment and Management (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Cardiac pacing and defibrillation studies (3 papers). Karin Strecker collaborates with scholars based in Austria and Germany. Karin Strecker's co-authors include Richard Pacher, Rudolf Berger, Anja Bojic, Brigitte Stanek, Deddo Mörtl, Martin Hülsmann, Brigitte Meyer, Thomas Neunteufl, Udo Vester and J. H. H. Ehrich and has published in prestigious journals such as Circulation, Blood and Journal of the American College of Cardiology.

In The Last Decade

Karin Strecker

17 papers receiving 905 citations

Hit Papers

B-Type Natriuretic Peptide Predicts Sudden Death in Patie... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karin Strecker Austria 8 653 137 132 106 102 17 948
Thierry Laperche France 16 816 1.2× 71 0.5× 216 1.6× 245 2.3× 17 0.2× 47 1.1k
Carlos Garcés Spain 7 581 0.9× 37 0.3× 110 0.8× 39 0.4× 65 0.6× 11 903
Thomas Sehestedt Denmark 15 744 1.1× 23 0.2× 161 1.2× 121 1.1× 31 0.3× 26 1.1k
Rupal Mehta United States 17 194 0.3× 56 0.4× 112 0.8× 92 0.9× 52 0.5× 55 937
Sergio Teruya United States 17 229 0.4× 49 0.4× 80 0.6× 47 0.4× 75 0.7× 59 742
A Roth Israel 12 349 0.5× 35 0.3× 110 0.8× 148 1.4× 12 0.1× 25 726
Antonios P. Vlahos Greece 14 393 0.6× 72 0.5× 246 1.9× 385 3.6× 15 0.1× 38 833
C. Vergnes France 17 232 0.4× 23 0.2× 244 1.8× 137 1.3× 58 0.6× 52 826
Scott Dunkley Australia 18 218 0.3× 108 0.8× 201 1.5× 65 0.6× 25 0.2× 51 935
Tomasz M. Rywik Poland 14 591 0.9× 36 0.3× 77 0.6× 128 1.2× 10 0.1× 42 784

Countries citing papers authored by Karin Strecker

Since Specialization
Citations

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

Fields of papers citing papers by Karin Strecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Strecker

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

All Works

17 of 17 papers shown
1.
Sperr, Wolfgang R., Susanne Herndlhofer, Karoline V. Gleixner, et al.. (2017). Intensive consolidation with G‐CSF support: Tolerability, safety, reduced hospitalization, and efficacy in acute myeloid leukemia patients ≥60 years. American Journal of Hematology. 92(10). E567–E574. 6 indexed citations
2.
Sperr, Wolfgang R., Susanne Herndlhofer, Karoline V. Gleixner, et al.. (2016). Intensive Post-Remission Consolidation with G-CSF-Support: Tolerability, Safety, Reduced Hospitalization, and Efficacy of a New Treatment Protocol for AML Patients ≥60 Years. Blood. 128(22). 2797–2797. 1 indexed citations
3.
Gisslinger, Heinz, Oleh Zagrijtschuk, Veronika Buxhofer‐Ausch, et al.. (2015). Ropeginterferon alfa-2b, a novel IFNα-2b, induces high response rates with low toxicity in patients with polycythemia vera. Blood. 126(15). 1762–1769. 130 indexed citations
5.
Gisslinger, Heinz, Róbert Královics, Bettina Gisslinger, et al.. (2012). AOP2014, a Novel Peg-Proline-Interferon Alpha-2b with Improved Pharmacokinetic Properties, Is Safe and Well Tolerated and Shows Promising Efficacy in Patients with Polycythemia Vera (PV). Blood. 120(21). 175–175. 4 indexed citations
6.
Gisslinger, Heinz, Róbert Královics, Bettina Gisslinger, et al.. (2011). Open-Label, Prospective, Multicentre, Phase I/II Study of AOP2014, a Novel PEG-Proline-Interferon Alpha-2b in Patients with Polycythemia Vera: Update from an Ongoing Study. Blood. 118(21). 1747–1747. 2 indexed citations
7.
Grosset, Donald G., Angelo Antonini, Gianni Pezzoli, et al.. (2007). 2.262 Adherence to antiparkinson medication in a multi-centre European study.. Parkinsonism & Related Disorders. 13. S115–S115. 2 indexed citations
9.
Meyer, Brigitte, Deddo Mörtl, Karin Strecker, et al.. (2005). Flow-Mediated Vasodilation Predicts Outcome in Patients With Chronic Heart Failure. Journal of the American College of Cardiology. 46(6). 1011–1018. 134 indexed citations
10.
Berger, Rudolf, M Huelsmann, Karin Strecker, et al.. (2005). Neurohormonal risk stratification for sudden death and death owing to progressive heart failure in chronic heart failure. European Journal of Clinical Investigation. 35(1). 24–31. 20 indexed citations
11.
Meyer, Brigitte, et al.. (2004). 1108-113 Flow-mediated vasodilatation predicts outcome in patients with chronic heart failure. Journal of the American College of Cardiology. 43(5). A198–A198. 3 indexed citations
12.
Berger, Rudolf, Karin Strecker, M Huelsmann, et al.. (2003). Prognostic power of neurohumoral parameters in chronic heart failure depends on clinical stage and observation period. The Journal of Heart and Lung Transplantation. 22(9). 1037–1045. 22 indexed citations
13.
Berger, Rudolf, M Huelsmann, Karin Strecker, et al.. (2002). B-type natriuretic peptide predicts sudden death in patients with chronic heart failure: a selection mode for ICD implantation?. Journal of the American College of Cardiology. 39. 140–140. 1 indexed citations
14.
Strecker, Karin, et al.. (2002). B-type natriuretic peptide predicts sudden death in patients with chronic heart failure. ACC Current Journal Review. 11(6). 55–55. 12 indexed citations
15.
Berger, Rudolf, M Huelsmann, Karin Strecker, et al.. (2002). B-type natriuretic peptide predicts sudden death in patients with chronic heart failure - a selection mode for ICD implantation?. The Journal of Heart and Lung Transplantation. 21(1). 69–69. 2 indexed citations
16.
Berger, Rudolf, et al.. (2002). B-Type Natriuretic Peptide Predicts Sudden Death in Patients With Chronic Heart Failure. Circulation. 105(20). 2392–2397. 524 indexed citations breakdown →
17.
Wolff, Georg, Karin Strecker, Udo Vester, Kay Latta, & J. H. H. Ehrich. (1998). Non-compliance following renal transplantation in children and adolescents. Pediatric Nephrology. 12(9). 703–708. 76 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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