U. Leder

791 total citations
48 papers, 526 citations indexed

About

U. Leder is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, U. Leder has authored 48 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 18 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in U. Leder's work include Advanced MRI Techniques and Applications (18 papers), Cardiac electrophysiology and arrhythmias (14 papers) and Heart Rate Variability and Autonomic Control (12 papers). U. Leder is often cited by papers focused on Advanced MRI Techniques and Applications (18 papers), Cardiac electrophysiology and arrhythmias (14 papers) and Heart Rate Variability and Autonomic Control (12 papers). U. Leder collaborates with scholars based in Germany, United States and Poland. U. Leder's co-authors include Jens Haueisen, H. Nowak, Dirk Hoyer, Andreas Voss, Bernd Pompe, Ulrich Zwiener, Heike Hoyer, Michael Sommer, V. Baier and Matthias Goernig and has published in prestigious journals such as The Journal of Physiology, Annals of the New York Academy of Sciences and IEEE Transactions on Biomedical Engineering.

In The Last Decade

U. Leder

44 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U. Leder Germany 14 308 158 93 87 87 48 526
Simon Duckett United Kingdom 20 877 2.8× 175 1.1× 51 0.5× 127 1.5× 132 1.5× 60 1.3k
Thomas Kenner Austria 13 258 0.8× 54 0.3× 17 0.2× 112 1.3× 109 1.3× 48 677
M. Oeff Germany 18 637 2.1× 79 0.5× 43 0.5× 35 0.4× 28 0.3× 66 773
Birgit Hailer Germany 15 368 1.2× 305 1.9× 209 2.2× 28 0.3× 30 0.3× 58 548
C. Langer Germany 13 258 0.8× 77 0.5× 157 1.7× 14 0.2× 37 0.4× 44 904
Panu Takala Finland 13 373 1.2× 234 1.5× 137 1.5× 89 1.0× 53 0.6× 19 657
Florian Hintringer Austria 21 1.1k 3.4× 201 1.3× 14 0.2× 97 1.1× 29 0.3× 80 1.2k
Shimon Abboud Israel 19 669 2.2× 187 1.2× 22 0.2× 246 2.8× 126 1.4× 74 975
Hidehiro Hosaka Japan 9 136 0.4× 103 0.7× 97 1.0× 75 0.9× 82 0.9× 14 373
Christian Meier Germany 7 251 0.8× 410 2.6× 67 0.7× 56 0.6× 9 0.1× 18 719

Countries citing papers authored by U. Leder

Since Specialization
Citations

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

Fields of papers citing papers by U. Leder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Leder

This figure shows the co-authorship network connecting the top 25 collaborators of U. Leder. A scholar is included among the top collaborators of U. Leder 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 U. Leder. U. Leder 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.
Goernig, Matthias, Mario Liehr, Jana K. Richter, et al.. (2013). Detection of Myocardial Scars by Magnetic Field Imaging. Journal of Medical and Biological Engineering. 33(1). 111–116. 2 indexed citations
2.
Goernig, Matthias, et al.. (2008). Magnetocardiography Based Spatiotemporal Correlation Analysis is Superior to Conventional ECG Analysis for Identifying Myocardial Injury. Annals of Biomedical Engineering. 37(1). 107–111. 19 indexed citations
3.
Lau, Stephan, Jens Haueisen, Ernst Günter Schukat-Talamazzini, et al.. (2006). Low HRV entropy is strongly associated with myocardial infarction. Biomedizinische Technik/Biomedical Engineering. 51(4). 186–189. 7 indexed citations
4.
Rzanny, R., et al.. (2006). 31P-MR spectroscopic imaging in hypertensive heart disease. European Radiology. 16(8). 1796–1802. 12 indexed citations
5.
Dutz, Silvio, Matthias E. Bellemann, U. Leder, & Jens Haueisen. (2005). Passive vortex currents in magneto- and electrocardiography: comparison of magnetic and electric signal strengths. Physics in Medicine and Biology. 51(1). 145–151. 26 indexed citations
6.
7.
Schummer, Wolfram, C. Schummer, C. Schelenz, et al.. (2004). Central venous catheters—the inability of ‘intra-atrial ECG’ to prove adequate positioning. British Journal of Anaesthesia. 93(2). 193–198. 33 indexed citations
8.
Goernig, Matthias, Thomas Kirmeier, Andreas Krack, et al.. (2004). Iohexol contrast medium induces QT prolongation in amiodarone patients. British Journal of Clinical Pharmacology. 58(1). 96–98. 2 indexed citations
9.
Leder, U., Mathias Baumert, V. Baier, et al.. (2002). Nachlast und Blutdruckamplitude bei dilatativer Kardiomyopathie. Afterload and Blood Pressure Amplitude in Dilated Cardiomyopathy. Biomedizinische Technik/Biomedical Engineering. 47(7-8). 191–194.
10.
11.
Leder, U., Jens Haueisen, Mario Liehr, et al.. (2002). High Frequency Intra-QRS Signals in Idiopathic Dilated Cardiomyopathy / Hochfrequente Intra-QRS-Signale bei idiopathischer dilatativer Kardiomyopathie. Biomedizinische Technik/Biomedical Engineering. 47(5). 117–123. 2 indexed citations
12.
Leder, U., V. Baier, Mathias Baumert, et al.. (2002). Alternans of Blood Pressure and Heart Rate in Dilated Cardiomyopathy. Pacing and Clinical Electrophysiology. 25(9). 1307–1314. 11 indexed citations
13.
Schröder, Rolf, Dirk Hoyer, U. Leder, & Andreas Voss. (2002). QUANTITATIVE ANALYSE KARDIOVASKULÄRER INTERAKTIONEN BEI PATIENTEN MIT KARDIOMYOPATHE UND NACH MYOKARDINFARKT. Biomedizinische Technik/Biomedical Engineering. 47(s1b). 530–533. 2 indexed citations
14.
Leder, U., Jens Haueisen, Lars Dörrer, et al.. (2001). Reproducibility of HTS-SQUID magnetocardiography in an unshielded clinical environment. International Journal of Cardiology. 79(2-3). 237–243. 17 indexed citations
15.
Leder, U., et al.. (2001). Methods for the computational localization of atrio-ventricular pre-excitation syndromes. International journal of cardiac imaging. 17(2). 153–160. 3 indexed citations
16.
Leder, U., Jens Haueisen, Peter Pohl, et al.. (2001). Localization of late potential sources in myocardial infarction. International journal of cardiac imaging. 17(4). 315–325. 4 indexed citations
17.
Haueisen, Jens, et al.. (2000). QRS Amplitude and Shape Variability in Magnetocardiograms. Pacing and Clinical Electrophysiology. 23(2). 234–242. 13 indexed citations
18.
Fischer, G., B. Tilg, Paul Wach, et al.. (1999). Application of high-order boundary elements to the electrocardiographic inverse problem. Computer Methods and Programs in Biomedicine. 58(2). 119–131. 29 indexed citations
19.
Ramon, Ceon, Jens Haueisen, L. L. Huntsman, et al.. (1998). MCG simulations of myocardial infarctions with a realistic heart-torso model. IEEE Transactions on Biomedical Engineering. 45(11). 1313–1321. 11 indexed citations
20.
Lang, Klaus, et al.. (1996). Minimal myocardial lesions caused by endomyocardial biopsy can be detected by a commercially available cardiac troponin‐T enzyme‐linked immunosorbent assay. European Journal of Clinical Investigation. 26(6). 451–453. 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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