Michael Lell

12.1k total citations · 1 hit paper
241 papers, 9.0k citations indexed

About

Michael Lell is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Lell has authored 241 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Radiology, Nuclear Medicine and Imaging, 95 papers in Biomedical Engineering and 62 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Lell's work include Advanced X-ray and CT Imaging (87 papers), Radiation Dose and Imaging (79 papers) and Medical Imaging Techniques and Applications (54 papers). Michael Lell is often cited by papers focused on Advanced X-ray and CT Imaging (87 papers), Radiation Dose and Imaging (79 papers) and Medical Imaging Techniques and Applications (54 papers). Michael Lell collaborates with scholars based in Germany, United States and United Kingdom. Michael Lell's co-authors include Marc Kachelrieß, Michael Uder, Stephan Achenbach, W Bautz, Katharina Anders, Bernhard Schmidt, Rainer Raupach, Esther Meyer, Willi A. Kalender and Matthias May and has published in prestigious journals such as Nature Medicine, PLoS ONE and Cancer.

In The Last Decade

Michael Lell

240 papers receiving 8.8k citations

Hit Papers

Aggregated neutrophil ext... 2014 2026 2018 2022 2014 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Lell 5.6k 4.2k 1.5k 1.3k 715 241 9.0k
James F. Griffith 1.7k 0.3× 1.2k 0.3× 849 0.6× 4.7k 3.6× 1.4k 2.0× 385 10.5k
Dianna D. Cody 3.0k 0.5× 2.5k 0.6× 1.1k 0.7× 1.2k 0.9× 356 0.5× 147 5.7k
Paul Stolzmann 5.4k 1.0× 3.4k 0.8× 1.2k 0.8× 1.2k 0.9× 757 1.1× 160 6.9k
Thomas Frauenfelder 4.6k 0.8× 3.1k 0.7× 2.4k 1.6× 1.5k 1.1× 543 0.8× 328 7.6k
Vito Cantisani 2.4k 0.4× 1.2k 0.3× 1.2k 0.8× 2.9k 2.2× 1.9k 2.6× 238 7.4k
Ora Israel 4.2k 0.7× 931 0.2× 2.6k 1.7× 2.3k 1.8× 1.0k 1.4× 206 8.5k
Andreas H. Mahnken 5.2k 0.9× 2.9k 0.7× 2.3k 1.5× 2.0k 1.5× 1.1k 1.5× 425 9.8k
Werner Jaschke 2.9k 0.5× 1.2k 0.3× 2.3k 1.5× 3.6k 2.7× 1.2k 1.7× 329 8.9k
Christian Fink 4.5k 0.8× 3.4k 0.8× 2.2k 1.5× 4.7k 3.6× 540 0.8× 349 11.6k
Ahmed Abdel Khalek Abdel Razek 3.2k 0.6× 501 0.1× 964 0.7× 2.1k 1.6× 913 1.3× 252 7.3k

Countries citing papers authored by Michael Lell

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lell

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lell. A scholar is included among the top collaborators of Michael Lell 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 Michael Lell. Michael Lell 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.
Liu, Chang, Laura Klein, Yixing Huang, et al.. (2024). Two-view topogram-based anatomy-guided CT reconstruction for prospective risk minimization. Scientific Reports. 14(1). 9373–9373. 4 indexed citations
2.
Knaup, Michael, et al.. (2024). Training of a deep learning based digital subtraction angiography method using synthetic data. Medical Physics. 51(7). 4793–4810. 3 indexed citations
3.
Stroszczynski, Christian, et al.. (2024). Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm. Journal of Imaging Informatics in Medicine. 37(4). 1548–1556. 1 indexed citations
4.
Stengel, Simon von, Matthias Kohl, Michael Lell, et al.. (2020). High Intensity Resistance Exercise Training vs. High Intensity (Endurance) Interval Training to Fight Cardiometabolic Risk Factors in Overweight Men 30–50 Years Old. Frontiers in Sports and Active Living. 2. 68–68. 4 indexed citations
5.
Wuest, Wolfgang, Oliver Rompel, Matthias Hammon, et al.. (2019). Evaluation of ventricular septal defects using high pitch computed tomography angiography of the chest in children with complex congenital heart defects below one year of age. Journal of cardiovascular computed tomography. 13(4). 226–233. 5 indexed citations
6.
Lell, Michael, Hubertus Pietsch, Johannes G. Korporaal, et al.. (2017). Relationship between low tube voltage (70 kV) and the iodine delivery rate (IDR) in CT angiography: An experimental in-vivo study. PLoS ONE. 12(3). e0173592–e0173592. 14 indexed citations
7.
8.
Schmid, Axel, Michael Lell, Rolf Janka, et al.. (2015). Mid-Term Vascular Safety of Renal Denervation Assessed by Follow-up MR Imaging. CardioVascular and Interventional Radiology. 39(3). 426–432. 7 indexed citations
9.
Heinrich, Sebastian, Andrea Irouschek, Torsten Birkholz, et al.. (2013). Magnetresonanztomografie bei Kindern in Sedierung - anästhesiologisches Prozedere, Zeitbedarf und Determinanten verzögerter Prozessabläufe. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 185(5). 467–473. 3 indexed citations
10.
Achenbach, Stephan, Stefan Ulzheimer, Christian Layritz, et al.. (2013). Low-Dose Dual-Source CT Angiography With Iterative Reconstruction for Coronary Artery Stent Evaluation. JACC. Cardiovascular imaging. 6(4). 458–465. 47 indexed citations
11.
Achenbach, Stephan, Annika Schuhbäck, Dieter Ropers, et al.. (2012). Influence of heart rate and phase of the cardiac cycle on the occurrence of motion artifact in dual-source CT angiography of the coronary arteries. Journal of cardiovascular computed tomography. 6(2). 91–98. 50 indexed citations
12.
Scharf, Michael, Matthias May, Christian Hentschke, et al.. (2011). High-Pitch Thoracic CT With Simultaneous Assessment of Coronary Arteries. JACC. Cardiovascular imaging. 4(6). 602–609. 25 indexed citations
13.
Achenbach, Stephan, Martin Seltmann, Tobias Pflederer, et al.. (2011). Detection of Coronary Artery Stenoses by Low-Dose, Prospectively ECG-Triggered, High-Pitch Spiral Coronary CT Angiography. JACC. Cardiovascular imaging. 4(4). 328–337. 127 indexed citations
14.
Lell, Michael, Katharina Anders, Paul Deak, et al.. (2009). High-Pitch Electrocardiogram-Triggered Computed Tomography of the Chest. Investigative Radiology. 44(11). 728–733. 61 indexed citations
15.
Lell, Michael, et al.. (2008). Oropharynxpathologie. Der Radiologe. 49(1). 27–35. 2 indexed citations
16.
Nkenke, Emeka, et al.. (2006). Solitärer fibröser Tumor der Zunge. HNO. 55(4). 287–292. 4 indexed citations
17.
Lell, Michael, et al.. (2004). CTA der A.�carotis mit unterschiedlichen CT-Ger�ten. Der Radiologe. 44(10). 967–974. 9 indexed citations
18.
Flohr, Thomas, Bernd Ohnesorge, Karl Stierstorfer, et al.. (2004). Auf dem Weg zur isotropen räumlichen Auflösung: Technische Grundlagen und Anwendungen der 16-Schicht-CT. Der Radiologe. 45(7). 608–617. 4 indexed citations
19.
Heckemann, Rolf A., et al.. (2003). COMPARE Radiology. Academic Radiology. 10(5). 543–553. 41 indexed citations
20.
Lell, Michael, Ulrich Baum, Marc Kachelrieß, et al.. (2002). Improvement of image quality and dose usage of multislice CT scans of the head and neck region by using the raw data-based multidimensional adaptive filtering (MAF) technique. European Radiology. 12. 196. 1 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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