Jens Eckstein

3.9k total citations
60 papers, 1.5k citations indexed

About

Jens Eckstein is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Jens Eckstein has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 14 papers in Molecular Biology and 13 papers in Biomedical Engineering. Recurrent topics in Jens Eckstein's work include Blood Pressure and Hypertension Studies (10 papers), Heart Rate Variability and Autonomic Control (7 papers) and Atrial Fibrillation Management and Outcomes (6 papers). Jens Eckstein is often cited by papers focused on Blood Pressure and Hypertension Studies (10 papers), Heart Rate Variability and Autonomic Control (7 papers) and Atrial Fibrillation Management and Outcomes (6 papers). Jens Eckstein collaborates with scholars based in Switzerland, United States and Germany. Jens Eckstein's co-authors include Giulio Draetta, Massimo Loda, Konstantin Galaktionov, Arthur K. Lee, David Beach, Noé Brasier, Thilo Burkard, David Epstein, J. W. Hastings and Sandro Ghisla and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jens Eckstein

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Eckstein Switzerland 17 754 308 307 200 171 60 1.5k
Jiayuan Huang China 28 979 1.3× 247 0.8× 91 0.3× 141 0.7× 105 0.6× 78 1.9k
Qing Peng China 24 696 0.9× 220 0.7× 116 0.4× 177 0.9× 115 0.7× 109 1.8k
Lei Yuan China 26 1.3k 1.7× 364 1.2× 445 1.4× 76 0.4× 65 0.4× 102 2.2k
Sarah D. Lamore United States 22 598 0.8× 134 0.4× 123 0.4× 105 0.5× 76 0.4× 29 1.4k
Kyung Jin Lee South Korea 27 923 1.2× 211 0.7× 130 0.4× 106 0.5× 71 0.4× 91 2.0k
Chirag Patel United States 27 637 0.8× 219 0.7× 134 0.4× 87 0.4× 65 0.4× 112 1.8k
Masako Abe Japan 26 611 0.8× 255 0.8× 143 0.5× 60 0.3× 55 0.3× 109 1.7k
Fulong Liao China 21 623 0.8× 98 0.3× 146 0.5× 174 0.9× 124 0.7× 70 2.0k
Weimin Tang United States 20 530 0.7× 204 0.7× 103 0.3× 134 0.7× 32 0.2× 50 1.2k
Yaozu Xiang China 22 831 1.1× 167 0.5× 336 1.1× 92 0.5× 52 0.3× 35 2.1k

Countries citing papers authored by Jens Eckstein

Since Specialization
Citations

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

Fields of papers citing papers by Jens Eckstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Eckstein

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

All Works

20 of 20 papers shown
1.
Shaw, David, et al.. (2025). When and what patients need to know about AI in clinical care. Swiss Medical Weekly. 155(1). 4013–4013.
2.
Hirsch, Sven, et al.. (2025). An explorative study on movement detection using wearable sensors in acute care hospital patients. Scientific Reports. 15(1). 19941–19941.
4.
Eichhorn, Christian, David Koeckerling, Rohin K. Reddy, et al.. (2024). Risk Stratification in Nonischemic Dilated Cardiomyopathy Using CMR Imaging. JAMA. 332(18). 1535–1535. 7 indexed citations
5.
Serfózó, Péter, Robin Sandkühler, Patrick Badertscher, et al.. (2023). An augmented reality–based method to assess precordial electrocardiogram leads: a feasibility trial. European Heart Journal - Digital Health. 4(5). 420–427. 3 indexed citations
6.
Serfózó, Péter, et al.. (2022). A Novel Diagnostic Decision Support System for Medical Professionals: Prospective Feasibility Study. JMIR Formative Research. 6(3). e29943–e29943. 3 indexed citations
7.
Mack, Ines, et al.. (2022). Wearable Technologies for Pediatric Patients with Surgical Infections—More than Counting Steps?. Biosensors. 12(8). 634–634. 7 indexed citations
8.
Geest, Sabina De, Sabine Gerull, Juliane Mielke, et al.. (2022). The SMILe integrated care model in allogeneic SteM cell TransplantatIon faciLitated by eHealth: a protocol for a hybrid effectiveness-implementation randomised controlled trial. BMC Health Services Research. 22(1). 1067–1067. 13 indexed citations
9.
Battegay, R, Andreas Holbro, Andreas Buser, et al.. (2021). Immune thrombocytopenia associated with COVID-19 mRNA vaccine tozinameran – a clinical case and global pharmacovigilance data. Swiss Medical Weekly. 151(4950). w30084–w30084. 8 indexed citations
10.
Brasier, Noé, et al.. (2021). Next-Generation Digital Biomarkers for Tuberculosis and Antibiotic Stewardship: Perspective on Novel Molecular Digital Biomarkers in Sweat, Saliva, and Exhaled Breath. Journal of Medical Internet Research. 23(8). e25907–e25907. 10 indexed citations
11.
Brasier, Noé, Christina J. Raichle, Sabine Schädelin, et al.. (2021). Body Composition Analysis in Patients with Acute Heart Failure: The Scale Heart Failure Trial. ESC Heart Failure. 8(6). 4593–4606. 11 indexed citations
12.
Becker, Christoph, Martina Gamp, Philipp Schüetz, et al.. (2021). Effect of Bedside Compared With Outside the Room Patient Case Presentation on Patients' Knowledge About Their Medical Care. Annals of Internal Medicine. 174(9). 1282–1292. 17 indexed citations
13.
Shavadia, Jay, et al.. (2020). METFORMIN CONTINUATION VERSUS INTERRUPTION FOLLOWING CORONARY ANGIOGRAPHY: CONTEMPORARY RISK OF LACTIC ACIDOSIS. A PILOT SINGLE-CENTER RANDOMIZED CONTROL TRIAL. Canadian Journal of Cardiology. 36(10). S112–S113. 1 indexed citations
14.
Brasier, Noé, Andreas F. Widmer, Michael Osthoff, et al.. (2020). Non-invasive Drug Monitoring of β-Lactam Antibiotics Using Sweat Analysis—A Pilot Study. Frontiers in Medicine. 7. 476–476. 14 indexed citations
15.
Vischer, Annina S., Thenral Socrates, Clemens Winterhalder, et al.. (2020). How should we measure blood pressure? Implications of the fourth blood pressure measurement in office blood pressure. Journal of Clinical Hypertension. 23(1). 35–43. 4 indexed citations
16.
Burkard, Thilo, et al.. (2018). Reliability of single office blood pressure measurements. Heart. 104(14). 1173–1179. 38 indexed citations
17.
Seifert, Heike, Christoph Hess, Luigi Terracciano, & Jens Eckstein. (2013). Not your usual diarrhoea: severe colonic toxicity of mycophenolate due to intestinal CMV and EBV infection. BMJ Case Reports. 2013. bcr2013009882–bcr2013009882.
18.
Eckstein, Jens & John J. Fung. (2003). A new class of cyclosporin analogues for the treatment of asthma. Expert Opinion on Investigational Drugs. 12(4). 647–653. 14 indexed citations
19.
Rudolph, Johannes, David Epstein, L L Parker, & Jens Eckstein. (2001). Specificity of Natural and Artificial Substrates for Human Cdc25A. Analytical Biochemistry. 289(1). 43–51. 43 indexed citations
20.
Eckstein, Jens, et al.. (1995). Role of the conserved tryptophan 82 of Lactobacillus casei thymidylate synthase. Chemistry & Biology. 2(9). 609–614. 8 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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