S. D. Anker

1.9k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

S. D. Anker is a scholar working on Cardiology and Cardiovascular Medicine, Hematology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, S. D. Anker has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Hematology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in S. D. Anker's work include Heart Failure Treatment and Management (5 papers), Erythropoietin and Anemia Treatment (3 papers) and Cardiovascular Function and Risk Factors (2 papers). S. D. Anker is often cited by papers focused on Heart Failure Treatment and Management (5 papers), Erythropoietin and Anemia Treatment (3 papers) and Cardiovascular Function and Risk Factors (2 papers). S. D. Anker collaborates with scholars based in Germany, United Kingdom and United States. S. D. Anker's co-authors include Piotr Ponikowski, John J.V. McMurray, Ewa A. Jankowska, W. Banasiak, Oliver Hartmann, Piotr Rozentryt, Jolanta Nowak, Ludmiła Borodulin- Nadzieja, Lech Poloński and Beata Ponikowska and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and American Journal of Transplantation.

In The Last Decade

S. D. Anker

17 papers receiving 1.2k citations

Hit Papers

Iron deficiency: an ominous sign in patients with systoli... 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. D. Anker Germany 9 738 545 212 155 79 17 1.2k
Jolanta Nowak Poland 14 684 0.9× 605 1.1× 218 1.0× 152 1.0× 52 0.7× 47 1.3k
Joanna Niegowska Poland 6 759 1.0× 994 1.8× 416 2.0× 179 1.2× 186 2.4× 17 1.6k
Alhakam Hudaihed United States 13 931 1.3× 597 1.1× 173 0.8× 188 1.2× 66 0.8× 16 1.6k
Hessel F. Groenveld Netherlands 10 1.3k 1.7× 377 0.7× 138 0.7× 73 0.5× 33 0.4× 21 1.6k
Shoshana Steinbruch Israel 8 548 0.7× 1.2k 2.1× 362 1.7× 111 0.7× 37 0.5× 9 1.5k
Maros Elsik Australia 13 891 1.2× 318 0.6× 107 0.5× 122 0.8× 22 0.3× 22 1.4k
Rocco Lagioia Italy 15 530 0.7× 194 0.4× 78 0.4× 74 0.5× 35 0.4× 49 811
Katerina Marathias Greece 17 226 0.3× 203 0.4× 136 0.6× 167 1.1× 55 0.7× 25 841
Pieter Martens Belgium 19 734 1.0× 193 0.4× 58 0.3× 226 1.5× 98 1.2× 72 1.1k
Iolanda Enea Italy 14 648 0.9× 125 0.2× 35 0.2× 131 0.8× 99 1.3× 33 867

Countries citing papers authored by S. D. Anker

Since Specialization
Citations

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

Fields of papers citing papers by S. D. Anker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. D. Anker. 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 S. D. Anker. The network helps show where S. D. Anker may publish in the future.

Co-authorship network of co-authors of S. D. Anker

This figure shows the co-authorship network connecting the top 25 collaborators of S. D. Anker. A scholar is included among the top collaborators of S. D. Anker 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 S. D. Anker. S. D. Anker 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.
Kılıçaslan, Barış, et al.. (2024). Right ventricular to pulmonary artery coupling credicts poor outcomes after interatrial shunting in heart failure. European Heart Journal. 45(Supplement_1). 1 indexed citations
2.
Palus, Sandra, Wolfram Doehner, S. von Haehling, et al.. (2017). Models of sarcopenia: Short review. International Journal of Cardiology. 238. 19–21. 36 indexed citations
3.
Ouwerkerk, Wouter, A.A. Voors, S. D. Anker, et al.. (2017). Determinants and clinical outcome of uptitration of ACE-inhibitors and beta-blockers in patients with heart failure: a prospective European study. European Heart Journal. 38(24). 1883–1890. 253 indexed citations
4.
Lancellotti, P, S. D. Anker, Erwan Donal, et al.. (2015). EACVI/HFA Cardiac Oncology Toxicity Registry in breast cancer patients: rationale, study design, and methodology (EACVI/HFA COT Registry) - EURObservational Research Program of theEuropean Society of Cardiology. European Heart Journal. 466–470. 5 indexed citations
5.
Gheorghiade, M, Gregg C. Fonarow, Dirk J. van Veldhuisen, et al.. (2013). Lack of evidence of increased mortality among patients with atrial fibrillation taking digoxin: findings from post hoc propensity-matched analysis of the AFFIRM trial. European Heart Journal. 34(20). 1489–1497. 129 indexed citations
6.
Jankowska, Ewa A., Jolanta Małyszko, Hossein Ardehali, et al.. (2012). Iron status in patients with chronic heart failure. European Heart Journal. 34(11). 827–834. 204 indexed citations
7.
Jankowska, Ewa A., Piotr Rozentryt, Agnieszka Witkowska, et al.. (2011). 'Iron deficiency: an ominous sign in patients with systolic chronic heart failure' [Eur Heart J 2010;31:1872-1880, doi:10.1093/eurheartj/ehq158]. European Heart Journal. 32(9). 1054–1054. 8 indexed citations
8.
Jankowska, Ewa A., Piotr Rozentryt, Agnieszka Witkowska, et al.. (2010). Iron deficiency: an ominous sign in patients with systolic chronic heart failure. European Heart Journal. 31(15). 1872–1880. 481 indexed citations breakdown →
9.
Baid‐Agrawal, Seema, Ulrich Frei, Petra Reinke, et al.. (2009). Impaired Insulin Sensitivity as an Underlying Mechanism Linking Hepatitis C and Posttransplant Diabetes Mellitus in Kidney Recipients. American Journal of Transplantation. 9(12). 2777–2784. 27 indexed citations
10.
Habedank, Dirk, Thomas Kung, Tim Karhausen, et al.. (2009). Exercise capacity and body composition in living-donor renal transplant recipients over time. Nephrology Dialysis Transplantation. 24(12). 3854–3860. 31 indexed citations
11.
Heinz, C., Yuji Mori, Tim Karhausen, et al.. (2007). 3528 POSTER Fatigue in pancreatic cancer: the potential link between exertional dyspnea, exercise limitation, skeletal musculature and neurohormonal activation. European Journal of Cancer Supplements. 5(4). 267–268. 1 indexed citations
12.
Doehner, Wolfram, S. D. Anker, & Ian F. Godsland. (2005). Optimizing Insulin Sensitivity Assessment Using the Minimal Model in Chronic Heart Failure. Hormone and Metabolic Research. 37(2). 106–110. 8 indexed citations
13.
Sharma, Rohit, et al.. (2004). Hemoglobin predicts survival in patients with chronic heart failure: A substudy of the ELITE II trial. ACC Current Journal Review. 13(12). 30–31. 3 indexed citations
15.
Peschel, Thomas, et al.. (2000). Endotoxemia in Congestive Heart Failure: Highest Levels in Hepatic Veins Suggestive of Intestinal Bacterial and/or Endotoxin Translocation. European Journal of Heart Failure. 2(S1). 88–88. 2 indexed citations
16.
Anker, S. D., et al.. (2000). Chronic heart failure as a metabolic disorder.. PubMed. 1(2). 42–9. 7 indexed citations
17.
Anker, S. D., et al.. (1998). Growth hormone resistance in chronic heart failure. Journal of the American College of Cardiology. 31. 204–204. 4 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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