S. Achenbach

407 total citations
20 papers, 290 citations indexed

About

S. Achenbach is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, S. Achenbach has authored 20 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Biomedical Engineering. Recurrent topics in S. Achenbach's work include Cardiac Imaging and Diagnostics (12 papers), Advanced X-ray and CT Imaging (7 papers) and Medical Imaging Techniques and Applications (4 papers). S. Achenbach is often cited by papers focused on Cardiac Imaging and Diagnostics (12 papers), Advanced X-ray and CT Imaging (7 papers) and Medical Imaging Techniques and Applications (4 papers). S. Achenbach collaborates with scholars based in Germany, United States and Denmark. S. Achenbach's co-authors include L H Nielsen, Jawdat Abdulla, Bjarne Linde Nørgaard, Jonathon Leipsic, Dieter Ropers, Gerd Muschiol, Werner Moshage, Ivan Varga, Tony Reiman and Valentina Câmpean and has published in prestigious journals such as Journal of the American College of Cardiology, Radiology and European Heart Journal.

In The Last Decade

S. Achenbach

19 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Achenbach Germany 8 202 112 81 54 31 20 290
Zhaoying Wen China 11 138 0.7× 198 1.8× 23 0.3× 58 1.1× 20 0.6× 31 311
Jannike Nickander Sweden 7 275 1.4× 186 1.7× 44 0.5× 61 1.1× 9 0.3× 23 364
Theresa Menéndez Germany 5 174 0.9× 229 2.0× 54 0.7× 117 2.2× 56 1.8× 6 458
Cornelia Sehnert Germany 5 335 1.7× 120 1.1× 127 1.6× 194 3.6× 17 0.5× 8 374
Kai Lin United States 11 183 0.9× 188 1.7× 24 0.3× 75 1.4× 8 0.3× 48 302
Jan Schenzle Germany 8 380 1.9× 80 0.7× 315 3.9× 83 1.5× 6 0.2× 12 483
Tatsuro Ito Japan 12 155 0.8× 142 1.3× 116 1.4× 58 1.1× 9 0.3× 30 326
Tokuo Kasai Japan 12 233 1.2× 129 1.2× 74 0.9× 62 1.1× 8 0.3× 21 392
Kevin Steel United States 7 356 1.8× 395 3.5× 39 0.5× 63 1.2× 28 0.9× 21 531
Ciara Cummins Germany 6 345 1.7× 433 3.9× 15 0.2× 44 0.8× 16 0.5× 7 546

Countries citing papers authored by S. Achenbach

Since Specialization
Citations

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

Fields of papers citing papers by S. Achenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Achenbach

This figure shows the co-authorship network connecting the top 25 collaborators of S. Achenbach. A scholar is included among the top collaborators of S. Achenbach 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. Achenbach. S. Achenbach 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.
Bittner, Daniel O., Markus Goeller, Dorette Raaz‐Schrauder, et al.. (2022). Influence of gender on coronary atherosclerosis and inflammatory biomarker profile: a CT angiographic study. European Heart Journal. 43(Supplement_2).
2.
Oikonomou, Evangelos K., Alexios S. Antonopoulos, Mohamed Marwan, et al.. (2021). Standardised measurement of coronary inflammation using cardiovascular CT: integration in clinical care as a prognostic medical device. Cardiovascular Research. 3 indexed citations
3.
Marwan, Mohamed, Daniel O. Bittner, Jens Röther, et al.. (2018). CT-derived left ventricular global strain in aortic valve stenosis patients: A comparative analysis pre and post transcatheter aortic valve implantation. Journal of cardiovascular computed tomography. 12(3). 240–244. 36 indexed citations
4.
Kirchner, Jens, et al.. (2015). Circadian and circaseptan rhythms in implant-based thoracic impedance. Physiological Measurement. 36(7). 1615–1628. 1 indexed citations
5.
6.
Nijveldt, Robin, et al.. (2014). Coronary CTangiography in the elderly. 1 indexed citations
7.
Pflederer, Tobias, Tiziano Schepis, Alexandra Lang, et al.. (2010). Accuracy of dual-source computed tomography to identify significant coronary artery disease in patients with atrial fibrillation: comparison with coronary angiography. European Heart Journal. 31(18). 2230–2237. 43 indexed citations
8.
May, Matthias, Katharina Anders, Dieter Ropers, et al.. (2009). Abgrenzbarkeit des interventrikulären Septums mit einem 20 % Kontrastmittelspülbolus in der CT-Koronarangiografie: Ein Vergleich von 64-Schicht- und Dual-Source-CT. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 181(4). 324–331. 3 indexed citations
9.
Anders, Katharina, Ulrich Baum, Soeren Gauss, et al.. (2009). Erste Erfahrungen mit der sequenziellen, prospektiv getriggerten CT-Koronarangiografie an einem 128-Schicht-Computertomografen. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 181(4). 332–338. 9 indexed citations
10.
Berman, Daniel S., et al.. (2007). Highlights of the Second Annual Scientific Meeting of the Society of Cardiovascular Computed Tomography. Journal of the American College of Cardiology. 50(24). 2329–2335. 3 indexed citations
11.
Câmpean, Valentina, Daniel Neureiter, Ivan Varga, et al.. (2005). Atherosclerosis and Vascular Calcification in Chronic Renal Failure. Kidney & Blood Pressure Research. 28(5-6). 280–289. 63 indexed citations
12.
Rosol, Michael, Christian Enzweiler, Dylan C. Kwait, et al.. (2005). A Novel Model to Test Accuracy and Reproducibility of MDCT Scan Protocols for Coronary Calcium in Vivo. International journal of cardiac imaging. 22(1). 111–118. 4 indexed citations
13.
14.
Ranschaert, Erik & S. Achenbach. (1999). EML1/402: An Electronic Mailing List for Radiologists: First year's experience. Journal of Medical Internet Research. 1. e31–e31. 1 indexed citations
15.
Achenbach, S., Dieter Ropers, J. Nossen, et al.. (1999). Velocity of in-plane coronary artery motion: Measurement by CINE-mode electron beam CT and implications for ECG triggering of EBCT data sets. Academic Radiology. 6. S148–S148. 16 indexed citations
16.
Achenbach, S., Werner Moshage, Dieter Ropers, J. Nossen, & K. Bachmann. (1998). Comparison of contrast-enhanced electron beam CT and coronary angiography in 125 patients. Journal of the American College of Cardiology. 31. 481–481. 1 indexed citations
17.
Achenbach, S., et al.. (1998). P-wave analysis in MCG and ECG after conversion of atrial fibrillation. Biomedizinische Technik/Biomedical Engineering. 43(s1). 250–251. 4 indexed citations
18.
Achenbach, S., et al.. (1998). [Effect of tissue impedance on the ECG and MCG signal: a phantom study].. PubMed. 43 Suppl. 354–5. 1 indexed citations
19.
Bruder, Herbert, et al.. (1994). Biomagnetic localization of electrical current sources in the human heart with realistic volume conductors using the single-current-dipole model. Physics in Medicine and Biology. 39(4). 655–668. 13 indexed citations
20.
Moshage, Werner, et al.. (1991). Biomagnetic localization of ventricular arrhythmias.. Radiology. 180(3). 685–692. 16 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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