Karin Strecker

1.3k citations
18 papers · 1.1k · h-index 9

Impact in

    • Heart Failure Treatment and Management
    • Cardiovascular Function and Risk Factors
    • Cardiac pacing and defibrillation studies
    • Cardiac electrophysiology and arrhythmias
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Karin Strecker

18 papers receiving 1.0k citations

Peers

Karin Strecker
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 534
  • Genetics 209
  • Transplantation 37
  • Hematology 114
  • Rheumatology 120
Replace Poh Shuan Daniel Yeo with:
Poh Shuan Daniel Yeo Singapore
Adriana Carolei Italy
Mieczysław Pasowicz Poland
Mario Sénéchal Canada
Edmond Chailleux France
Antonios P. Vlahos Greece
M. Ghose United States
Riyad Y. Tarazi United States
Constadina J. Aggeli Greece
Kosaku Maeda Japan
Karin Strecker relative to Poh Shuan Daniel Yeo Singapore Poh Shuan Daniel Yeo's profile →
Citations per field
00.5×2×4×6.5×
Poh Shuan Daniel Yeo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Karin Strecker, 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 Karin Strecker Line = papers co-authored together Karin Strecker links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2002568
2 2015156
3 2005140
4 199883
5 201450
6 200323
7 200522
8 200214
9 20139
10 20178
11 20125
12 20043
13 20072
14 20112
15 20022
16 20021
17 20071
18 20161

About Karin Strecker

Karin Strecker is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Hematology, Rheumatology and Oncology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Heart Failure Treatment and Management (5 papers), Eosinophilic Disorders and Syndromes (4 papers), Multiple Myeloma Research and Treatments (3 papers), Acute Myeloid Leukemia Research (2 papers), Neutropenia and Cancer Infections (2 papers), Cardiac pacing and defibrillation studies (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (534 citations), Genetics (209 citations), Transplantation (37 citations), Hematology (114 citations) and Rheumatology (120 citations). Karin Strecker has collaborated with scholars based in Austria and Germany. Frequent co-authors include Richard Pacher, Rudolf Berger, Anja Bojic, Brigitte Stanek, Thomas Neunteufl, Deddo Mörtl, Brigitte Meyer, Martin Hülsmann, Kay Latta and Udo Vester. Their work appears in journals such as Blood, Journal of the American College of Cardiology, American Journal of Hematology, The Journal of Heart and Lung Transplantation and European Journal of Clinical Investigation.

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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