U. Solzbach

1.2k total citations
33 papers, 854 citations indexed

About

U. Solzbach is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, U. Solzbach has authored 33 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Cardiology and Cardiovascular Medicine and 9 papers in Surgery. Recurrent topics in U. Solzbach's work include Cardiac Imaging and Diagnostics (12 papers), Advanced MRI Techniques and Applications (8 papers) and Medical Imaging Techniques and Applications (5 papers). U. Solzbach is often cited by papers focused on Cardiac Imaging and Diagnostics (12 papers), Advanced MRI Techniques and Applications (8 papers) and Medical Imaging Techniques and Applications (5 papers). U. Solzbach collaborates with scholars based in Germany, Switzerland and Greece. U. Solzbach's co-authors include H. Just, Michael Jeserich, Burkhard Hornig, Thomas H. Schindler, Egbert Nitzsche, Manfred Olschewski, Nobuhisa Magosaki, H. Wollschläger, H. Just and Michael Mix and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

U. Solzbach

29 papers receiving 830 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. Solzbach Germany 14 456 366 206 133 94 33 854
Michael Jeserich Germany 16 467 1.0× 184 0.5× 116 0.6× 157 1.2× 97 1.0× 32 758
Charles Ilsley United Kingdom 16 584 1.3× 203 0.6× 468 2.3× 41 0.3× 76 0.8× 63 923
Makoto Hiki Japan 16 231 0.5× 216 0.6× 201 1.0× 77 0.6× 107 1.1× 78 771
Alessandro Pardini Italy 11 462 1.0× 107 0.3× 345 1.7× 82 0.6× 53 0.6× 21 895
Sion Roy United States 13 329 0.7× 202 0.6× 351 1.7× 87 0.7× 182 1.9× 75 860
H.M. Omar Farouque Australia 16 864 1.9× 687 1.9× 637 3.1× 100 0.8× 33 0.4× 33 1.4k
Marco Gorini Italy 17 1.7k 3.8× 222 0.6× 250 1.2× 90 0.7× 103 1.1× 59 2.1k
Michel Joyal Canada 17 563 1.2× 379 1.0× 502 2.4× 61 0.5× 24 0.3× 31 995
Cesare Greco Italy 19 776 1.7× 256 0.7× 400 1.9× 41 0.3× 35 0.4× 100 1.2k
Assad Movahed United States 19 548 1.2× 223 0.6× 212 1.0× 174 1.3× 85 0.9× 80 1.0k

Countries citing papers authored by U. Solzbach

Since Specialization
Citations

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

Fields of papers citing papers by U. Solzbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of U. Solzbach. A scholar is included among the top collaborators of U. Solzbach 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. Solzbach. U. Solzbach 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.
2.
Andrikopoulos, George, Stylianos Tzeis, Stefan Asbach, et al.. (2015). A stepwise electrocardiographic algorithm for differentiation of mid-septal vs. apical right ventricular lead positioning: the SPICE ECG substudy. EP Europace. 17(6). 915–920. 7 indexed citations
3.
Kolb, Christof, U. Solzbach, Verena Semmler, et al.. (2014). Safety of mid-septal electrode placement in implantable cardioverter defibrillator recipients — Results of the SPICE (Septal Positioning of ventricular ICD Electrodes) study. International Journal of Cardiology. 174(3). 713–720. 13 indexed citations
4.
Tzeis, Stylianos, George Andrikopoulos, Stefan Asbach, et al.. (2014). Electrocardiographic identification of prior myocardial infarction during right ventricular pacing — Effect of septal versus apical pacing. International Journal of Cardiology. 177(3). 977–981. 2 indexed citations
5.
Solzbach, U., et al.. (2010). Isolated Dextrocardia with Situs Solitus (Dextroversion). Herz. 35(3). 207–210. 7 indexed citations
6.
Solzbach, U., et al.. (2010). Reversible congestive heart failure in severe hypocalcemia. Herz. 35(7). 507–511. 13 indexed citations
7.
Laaff, H., Michael Kuhlmann, U. Solzbach, et al.. (2008). ACPA-Reaktion bei atypischem Morbus Wegener: Diagnoseweisender Test*. DMW - Deutsche Medizinische Wochenschrift. 114(51/52). 2008–2013.
8.
Solzbach, U., et al.. (2008). Placement of a Left Ventricular Pacing Lead After Balloon Angioplasty of a Coronary Vein Stenosis. Circulation. 118(9). e136–7. 2 indexed citations
9.
Schindler, Thomas H., Egbert Nitzsche, Heinrich R. Schelbert, et al.. (2005). Positron Emission Tomography-Measured Abnormal Responses of Myocardial Blood Flow to Sympathetic Stimulation Are Associated With the Risk of Developing Cardiovascular Events. Journal of the American College of Cardiology. 45(9). 1505–1512. 113 indexed citations
10.
Schindler, Thomas H., Egbert Nitzsche, Thomas Münzel, et al.. (2003). Coronary vasoregulation in patients with various risk factors in response to cold pressor testing. Journal of the American College of Cardiology. 42(5). 814–822. 59 indexed citations
11.
Solzbach, U., H. Wollschläger, Andreas M. Zeiher, et al.. (2003). Spatial orientation of segments of the coronary arteries evaluated from 100 coronary angiograms. 359–362.
12.
Schindler, Thomas H., et al.. (2002). Wirkung von Vitamin C auf die Thrombozytenaggregation bei Rauchern und Nichtrauchern. Medizinische Klinik. 97(5). 263–269. 9 indexed citations
13.
Schindler, Thomas H., Nobuhisa Magosaki, Michael Jeserich, et al.. (2000). Neue Entwicklungen in der Diagnostik der koronaren Herzerkrankung ¶– 3D Fusionsbild. Zeitschrift für Kardiologie. 89(4). 338–348. 2 indexed citations
14.
Schindler, Thomas H., Nobuhisa Magosaki, Michael Jeserich, et al.. (2000). Effect of Ascorbic Acid on Endothelial Dysfunction of Epicardial Coronary Arteries in Chronic Smokers Assessed by Cold Pressor Testing. Cardiology. 94(4). 239–246. 16 indexed citations
15.
Schindler, Thomas H., Nobuhisa Magosaki, Michael Jeserich, et al.. (2000). 3D Assessment of myocardial perfusion parameter combined with 3D reconstructed coronary artery tree from digital coronary angiograms. International journal of cardiac imaging. 16(1). 1–12. 19 indexed citations
16.
Schindler, Thomas H., Nobuhisa Magosaki, Michael Jeserich, et al.. (1999). Fusion imaging: Combined visualization of 3D reconstructed coronary artery tree and 3D myocardial scintigraphic image in coronary artery disease. International journal of cardiac imaging. 15(5). 357–368. 53 indexed citations
17.
Solzbach, U., et al.. (1998). Bypass-Perforation durch Stentimplantation: Komplikationsmanagement. Ein Fallbericht. Zeitschrift für Kardiologie. 87(3). 233–239. 1 indexed citations
18.
Solzbach, U., Jyh‐Fei Liao, Neal Eigler, & Andreas M. Zeiher. (1995). Effects of inhibition of nitric oxide formation on the regulation of coronary blood flow in anesthetized dogs. Basic Research in Cardiology. 90(6). 489–497. 3 indexed citations
19.
20.
Solzbach, U., et al.. (1994). Optimum Angiographic Visualization of Coronary Segments Using Computer-Aided 3D-Reconstruction from Biplane Views. Computers and Biomedical Research. 27(3). 178–198. 28 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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