Juergen Meyer

1.1k total citations
16 papers, 882 citations indexed

About

Juergen Meyer is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Juergen Meyer has authored 16 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Juergen Meyer's work include Cardiac Valve Diseases and Treatments (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Juergen Meyer is often cited by papers focused on Cardiac Valve Diseases and Treatments (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Juergen Meyer collaborates with scholars based in Germany, United States and United Kingdom. Juergen Meyer's co-authors include Axel Schlitt, Hans J. Rupprecht, Christoph Bickel, Stefan Blankenberg, Karl J. Lackner, Xian‐Cheng Jiang, Susanne Mohr-Kahaly, Eckhard Mayer, Thomas Menzel and Thorsten Kramm and has published in prestigious journals such as CHEST Journal, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Lipid Research.

In The Last Decade

Juergen Meyer

16 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juergen Meyer Germany 15 308 222 201 198 196 16 882
Willem R.P. Agema Netherlands 14 539 1.8× 149 0.7× 205 1.0× 257 1.3× 195 1.0× 19 991
Delphine Corseaux France 20 352 1.1× 158 0.7× 183 0.9× 309 1.6× 279 1.4× 46 1.2k
Tatsuya Fukutomi Japan 19 355 1.2× 92 0.4× 139 0.7× 396 2.0× 134 0.7× 40 969
Tsukasa Inada Japan 14 336 1.1× 171 0.8× 177 0.9× 230 1.2× 64 0.3× 35 855
Pia Lundman Sweden 8 303 1.0× 98 0.4× 200 1.0× 159 0.8× 138 0.7× 9 825
Elena Burillo Spain 19 263 0.9× 243 1.1× 212 1.1× 315 1.6× 96 0.5× 31 1.1k
Anna Laura Pasqui Italy 19 228 0.7× 135 0.6× 274 1.4× 251 1.3× 89 0.5× 41 843
Go Haraguchi Japan 20 442 1.4× 444 2.0× 352 1.8× 248 1.3× 180 0.9× 55 1.4k
Thorsten Kälsch Germany 14 252 0.8× 96 0.4× 159 0.8× 121 0.6× 123 0.6× 36 707
Yoshihiro Sato Japan 14 248 0.8× 132 0.6× 80 0.4× 280 1.4× 90 0.5× 74 714

Countries citing papers authored by Juergen Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Juergen Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juergen Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Juergen Meyer. A scholar is included among the top collaborators of Juergen Meyer 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 Juergen Meyer. Juergen Meyer 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.
Schlitt, Axel, Stefan Blankenberg, Daoguang Yan, et al.. (2006). Further evaluation of plasma sphingomyelin levels as a risk factor for coronary artery disease. Nutrition & Metabolism. 3(1). 5–5. 118 indexed citations
2.
Schlitt, Axel, Stefan Blankenberg, Barbara C. Gärtner, et al.. (2005). Herpesvirus DNA (Epstein-Barr virus, herpes simplex virus, cytomegalovirus) in circulating monocytes of patients with coronary artery disease. Acta Cardiologica. 60(6). 605–610. 13 indexed citations
3.
Petersen, Steffen E., Oliver K. Mohrs, Georg Horstick, et al.. (2004). Influence of Contrast Agent Dose and Image Acquisition Timing on the Quantitative Determination of Nonviable Myocardial Tissue Using Delayed Contrast?Enhanced Magnetic Resonance Imaging. Journal of Cardiovascular Magnetic Resonance. 6(2). 541–548. 32 indexed citations
4.
Schlitt, Axel, Mohammad Reza Hojjati, Hans von Gizycki, et al.. (2004). Serum sphingomyelin levels are related to the clearance of postprandial remnant-like particles. Journal of Lipid Research. 46(2). 196–200. 23 indexed citations
5.
Blankenberg, Stefan, Christine Espinola–Klein, Christoph Bickel, et al.. (2004). CD14+CD16+ monocytes in coronary artery disease and their relationship to serum TNF-α levels. Thrombosis and Haemostasis. 92(8). 419–424. 243 indexed citations
6.
Schlitt, Axel, Stefan Blankenberg, Christoph Bickel, et al.. (2004). Prognostic value of lipoproteins and their relation to inflammatory markers among patients with coronary artery disease. International Journal of Cardiology. 102(3). 477–485. 25 indexed citations
7.
Petersen, Steffen E., Georg Horstick, Thomas Voigtländer, et al.. (2003). Diagnostic value of routine clinical parameters in acute myocardial infarction: a comparison to delayed contrast enhanced magnetic resonance imaging. International journal of cardiac imaging. 19(5). 409–416. 16 indexed citations
8.
Buerke, Michael, D Peetz, Christoph Bickel, et al.. (2003). Fondaparinux and enoxaparin in comparison to unfractionated heparin in preventing thrombus formation on mechanical heart valves in an ex vivo rabbit model. Thrombosis and Haemostasis. 90(8). 245–251. 14 indexed citations
9.
Schlitt, Axel, Christoph Bickel, Stefan Blankenberg, et al.. (2003). High Plasma Phospholipid Transfer Protein Levels as a Risk Factor for Coronary Artery Disease. Arteriosclerosis Thrombosis and Vascular Biology. 23(10). 1857–1862. 113 indexed citations
10.
Menzel, Thomas, Thorsten Kramm, Stefan Wagner, et al.. (2002). Improvement of tricuspid regurgitation after pulmonary thromboendarterectomy. The Annals of Thoracic Surgery. 73(3). 756–761. 50 indexed citations
11.
Menzel, Thomas, Thorsten Kramm, Susanne Mohr-Kahaly, et al.. (2002). Assessment of cardiac performance using Tei indices in patients undergoing pulmonary thromboendarterectomy. The Annals of Thoracic Surgery. 73(3). 762–766. 25 indexed citations
12.
Großer, Tilo, et al.. (2001). Involvement of PKC and NF-κB in Nitric Oxide Induced Apoptosis in Human Coronary Artery Smooth Muscle Cells. Cellular Physiology and Biochemistry. 11(5). 231–240. 15 indexed citations
13.
Dietz, Ulrich A., Okan Ekinci, Thorsten Dill, et al.. (2001). Angiographic analysis of immediate and long‐term results of PTCR vs. PTCA in complex lesions (COBRA study). Catheterization and Cardiovascular Interventions. 53(3). 359–367. 15 indexed citations
14.
Menzel, Thomas, Stefan Wagner, Thorsten Kramm, et al.. (2000). Pathophysiology of Impaired Right and Left Ventricular Function in Chronic Embolic Pulmonary Hypertension. CHEST Journal. 118(4). 897–903. 125 indexed citations
15.
Heuer, H., et al.. (1991). Platelet‐activating factor type activity in plasma from patients with septicemia and other diseases. Lipids. 26(12Part2). 1381–1385. 25 indexed citations
16.
Jungbluth, Achim A., et al.. (1988). Paradoxical coronary embolism: Case report and review of the literature. American Heart Journal. 116(3). 879–885. 30 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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