Michael Carl

5.6k total citations
112 papers, 3.6k citations indexed

About

Michael Carl is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Molecular Biology. According to data from OpenAlex, Michael Carl has authored 112 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Radiology, Nuclear Medicine and Imaging, 32 papers in Atomic and Molecular Physics, and Optics and 29 papers in Molecular Biology. Recurrent topics in Michael Carl's work include Advanced MRI Techniques and Applications (57 papers), Atomic and Subatomic Physics Research (32 papers) and Cardiac Imaging and Diagnostics (13 papers). Michael Carl is often cited by papers focused on Advanced MRI Techniques and Applications (57 papers), Atomic and Subatomic Physics Research (32 papers) and Cardiac Imaging and Diagnostics (13 papers). Michael Carl collaborates with scholars based in United States, Germany and Spain. Michael Carl's co-authors include Jiang Du, Graeme M. Bydder, Joachim Wittbrodt, Eric Y. Chang, Christine B. Chung, Yajun Ma, Felix Loosli, Mark Bydder, Atsushi Takahashi and Stephen W. Wilson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Carl

108 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Carl United States 36 1.5k 1.0k 526 514 377 112 3.6k
Jeff F. Dunn Canada 38 1.7k 1.1× 703 0.7× 300 0.6× 727 1.4× 102 0.3× 164 4.7k
Katsuji Shimizu Japan 44 812 0.5× 1.5k 1.4× 2.3k 4.4× 378 0.7× 154 0.4× 320 6.9k
Alex L. MacKay Canada 48 6.1k 4.0× 1.1k 1.1× 283 0.5× 550 1.1× 318 0.8× 154 8.9k
Gary Cowin Australia 31 937 0.6× 503 0.5× 245 0.5× 417 0.8× 70 0.2× 120 3.4k
Mark D. Does United States 50 4.7k 3.1× 481 0.5× 382 0.7× 410 0.8× 189 0.5× 155 6.3k
Kenji Kashiwagi Japan 36 1.5k 1.0× 1.0k 1.0× 242 0.5× 197 0.4× 41 0.1× 257 4.7k
Darryl R. Overby United Kingdom 39 1.3k 0.8× 1.3k 1.3× 124 0.2× 496 1.0× 134 0.4× 99 4.3k
Martin J. Kushmerick United States 45 1.0k 0.7× 3.2k 3.2× 193 0.4× 1.6k 3.0× 167 0.4× 129 6.8k
Cornelius Faber Germany 32 816 0.5× 800 0.8× 254 0.5× 421 0.8× 88 0.2× 148 3.5k
Peter Gideon Denmark 29 820 0.5× 523 0.5× 403 0.8× 81 0.2× 49 0.1× 45 2.6k

Countries citing papers authored by Michael Carl

Since Specialization
Citations

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

Fields of papers citing papers by Michael Carl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Carl

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Carl. A scholar is included among the top collaborators of Michael Carl 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 Carl. Michael Carl 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.
Brugnara, S., Silvana Savino, Paola Bellosta, et al.. (2025). Using Single-Cell RNA sequencing with Drosophila, Zebrafish, and mouse models for studying Alzheimer’s and Parkinson’s disease. Neuroscience. 573. 505–517. 1 indexed citations
2.
Wiesinger, Florian, C. Cozzini, Michael Carl, et al.. (2024). Utility of zero echo time (ZTE) sequence for assessing bony lesions of skull base and calvarium. Clinical Radiology. 79(12). e1504–e1513.
3.
Carl, Michael, et al.. (2024). Novel Transgenic Zebrafish Lines to Study the CHRNA3‐B4‐A5 Gene Cluster. Developmental Neurobiology. 85(1). e22956–e22956. 1 indexed citations
4.
Piccoli, Giovanni, et al.. (2024). The Risk Genes for Neuropsychiatric Disorders negr1 and opcml Are Expressed throughout Zebrafish Brain Development. Genes. 15(3). 363–363. 1 indexed citations
5.
6.
Keenan, Kathryn E., et al.. (2022). Apparent Diffusion Coefficient Reproducibility Across 3 T Scanners in a Breast Diffusion Phantom. Journal of Magnetic Resonance Imaging. 57(3). 812–823. 6 indexed citations
7.
Loosli, Felix, et al.. (2022). Conserved and diverged asymmetric gene expression in the brain of teleosts. Frontiers in Cell and Developmental Biology. 10. 1005776–1005776. 2 indexed citations
8.
Jang, Hyungseok, Yajun Ma, Michael Carl, et al.. (2021). Feasibility of an Inversion Recovery-Prepared Fat-Saturated Zero Echo Time Sequence for High Contrast Imaging of the Osteochondral Junction. Frontiers in Endocrinology. 12. 777080–777080. 6 indexed citations
9.
Foreman, Sarah C., Joe D. Baal, Misung Han, et al.. (2019). Patients with Type 2 Diabetes Exhibit a More Mineralized Deep Cartilage Layer Compared with Nondiabetic Controls: A Pilot Study. Cartilage. 13(1_suppl). 428S–436S. 11 indexed citations
10.
Tandon, Amol, Michael Carl, Nastassja Himmelreich, et al.. (2019). ADP-dependent glucokinase regulates energy metabolism via ER-localized glucose sensing. Scientific Reports. 9(1). 14248–14248. 18 indexed citations
11.
Zielonka, Matthias, et al.. (2018). Pharmacologic rescue of hyperammonemia-induced toxicity in zebrafish by inhibition of ornithine aminotransferase. PLoS ONE. 13(9). e0203707–e0203707. 18 indexed citations
12.
Ma, Yajun, Yanchun Zhu, Xing Lü, et al.. (2017). Short T2 imaging using a 3D double adiabatic inversion recovery prepared ultrashort echo time cones (3D DIR‐UTE‐Cones) sequence. Magnetic Resonance in Medicine. 79(5). 2555–2563. 58 indexed citations
13.
Carl, Michael, Yajun Ma, Saeed Jerban, et al.. (2017). Three-dimensional adiabatic inversion recovery prepared ultrashort echo time cones (3D IR-UTE-Cones) imaging of cortical bone in the hip. Magnetic Resonance Imaging. 44. 60–64. 21 indexed citations
14.
He, Qun, Shujuan Fan, Michael Carl, et al.. (2016). Imaging and quantification of iron‐oxide nanoparticles (IONP) using MP‐RAGE and UTE based sequences. Magnetic Resonance in Medicine. 78(1). 226–232. 18 indexed citations
15.
Delso, Gaspar, Florian Wiesinger, Michael Carl, et al.. (2015). ZTE-based clinical bone imaging for PET/MR. 56. 1806–1806. 6 indexed citations
16.
Carl, Michael, Kevin M. Koch, & Jiang Du. (2012). MR imaging near metal with undersampled 3D radial UTE‐MAVRIC sequences. Magnetic Resonance in Medicine. 69(1). 27–36. 44 indexed citations
17.
Beretta, Carlo A., et al.. (2011). All four zebrafish Wnt7 genes are expressed during early brain development. Gene Expression Patterns. 11(3-4). 277–284. 17 indexed citations
18.
Wilkinson, Christopher J., Michael Carl, & William A. Harris. (2009). Cep70 and Cep131 contribute to ciliogenesis in zebrafish embryos. BMC Cell Biology. 10(1). 17–17. 67 indexed citations
19.
Sander, Michael, Claudia Spies, Herko Grubitzsch, et al.. (2007). Prediction of volume response under open-chest conditions during coronary artery bypass surgery. Critical Care. 11(6). 31 indexed citations
20.
Carl, Michael, et al.. (1986). 23 Immunoelectron Microscopic Study of the Effect of Endotoxin on Human NK Cells.. ACTA HISTOCHEMICA ET CYTOCHEMICA. 19(27). 10. 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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Rankless by CCL
2026