Loreen Ruhm

455 total citations
22 papers, 299 citations indexed

About

Loreen Ruhm is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Loreen Ruhm has authored 22 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Spectroscopy and 7 papers in Biomedical Engineering. Recurrent topics in Loreen Ruhm's work include Advanced MRI Techniques and Applications (20 papers), Advanced NMR Techniques and Applications (11 papers) and Lanthanide and Transition Metal Complexes (5 papers). Loreen Ruhm is often cited by papers focused on Advanced MRI Techniques and Applications (20 papers), Advanced NMR Techniques and Applications (11 papers) and Lanthanide and Transition Metal Complexes (5 papers). Loreen Ruhm collaborates with scholars based in Germany, United States and Russia. Loreen Ruhm's co-authors include A Henning, Nikolai I. Avdievich, Klaus Scheffler, Henk M. De Feyter, Robin A. de Graaf, Armin M. Nagel, Arthur W. Magill, J Bause, Terence W. Nixon and Andreas Korzowski and has published in prestigious journals such as PLoS ONE, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Loreen Ruhm

21 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Loreen Ruhm Germany 12 265 152 83 50 44 22 299
C.S. Arteaga de Castro Netherlands 10 298 1.1× 125 0.8× 62 0.7× 33 0.7× 38 0.9× 21 344
Ariane Fillmer Germany 11 155 0.6× 77 0.5× 60 0.7× 88 1.8× 25 0.6× 24 310
C Mirkes Germany 11 369 1.4× 154 1.0× 104 1.3× 76 1.5× 41 0.9× 23 400
Maziar Sardashti United States 9 211 0.8× 153 1.0× 40 0.5× 81 1.6× 25 0.6× 14 353
Yudu Li United States 11 250 0.9× 69 0.5× 61 0.7× 21 0.4× 21 0.5× 33 291
Karl Landheer United States 12 276 1.0× 111 0.7× 39 0.5× 56 1.1× 38 0.9× 27 340
J Bause Germany 11 274 1.0× 96 0.6× 69 0.8× 26 0.5× 28 0.6× 36 311
Ingmar J. Voogt Netherlands 9 299 1.1× 116 0.8× 82 1.0× 33 0.7× 124 2.8× 13 349
Romain Froidevaux Switzerland 10 210 0.8× 89 0.6× 86 1.0× 31 0.6× 72 1.6× 16 358
Ali Yılmaz Türkiye 11 111 0.4× 105 0.7× 52 0.6× 57 1.1× 74 1.7× 32 322

Countries citing papers authored by Loreen Ruhm

Since Specialization
Citations

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

Fields of papers citing papers by Loreen Ruhm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loreen Ruhm

This figure shows the co-authorship network connecting the top 25 collaborators of Loreen Ruhm. A scholar is included among the top collaborators of Loreen Ruhm 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 Loreen Ruhm. Loreen Ruhm 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.
Ruhm, Loreen, Aaron Anderson, Paul M. Arnold, et al.. (2024). Joint learning of nonlinear representation and projection for fast constrained MRSI reconstruction. Magnetic Resonance in Medicine. 93(2). 455–469.
2.
Ruhm, Loreen, et al.. (2023). Mapping of glutamate metabolism using 1H FID-MRSI after oral administration of [1-13C]Glc at 9.4 T. NeuroImage. 270. 119940–119940. 2 indexed citations
3.
Ruhm, Loreen, et al.. (2023). LeaRning nonlineAr representatIon and projectIon for faSt constrained MRSI rEconstruction (RAIISE). Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 2 indexed citations
4.
Avdievich, Nikolai I., et al.. (2022). A 32‐element loop/dipole hybrid array for human head imaging at 7 T. Magnetic Resonance in Medicine. 88(4). 1912–1926. 25 indexed citations
5.
Borbáth, Tamás, et al.. (2022). Phosphorus transversal relaxation times and metabolite concentrations in the human brain at 9.4 T. NMR in Biomedicine. 35(10). e4776–e4776. 3 indexed citations
6.
Avdievich, Nikolai I., et al.. (2022). Double‐row dipole/loop combined array for human whole brain imaging at 7 T. NMR in Biomedicine. 35(10). e4773–e4773. 9 indexed citations
7.
Ruhm, Loreen, et al.. (2022). Measurement of glucose metabolism in the occipital lobe and frontal cortex after oral administration of [1-13C]glucose at 9.4 T. Journal of Cerebral Blood Flow & Metabolism. 42(10). 1890–1904. 6 indexed citations
8.
Feyter, Henk M. De, Terence W. Nixon, Loreen Ruhm, et al.. (2022). Deuterium metabolic imaging of the human brain in vivo at 7 T. Magnetic Resonance in Medicine. 89(1). 29–39. 40 indexed citations
9.
Ruhm, Loreen, Nikolai I. Avdievich, Armin M. Nagel, et al.. (2021). Deuterium metabolic imaging in the human brain at 9.4 Tesla with high spatial and temporal resolution. NeuroImage. 244. 118639–118639. 53 indexed citations
10.
Hartmann, Benedikt, Lisa Seyler, Tobias Bäuerle, et al.. (2021). Feasibility of deuterium magnetic resonance spectroscopy of 3-O-Methylglucose at 7 Tesla. PLoS ONE. 16(6). e0252935–e0252935. 13 indexed citations
11.
Ruhm, Loreen, et al.. (2021). 3D 31P MRSI of the human brain at 9.4 Tesla: Optimization and quantitative analysis of metabolic images. Magnetic Resonance in Medicine. 86(5). 2368–2383. 12 indexed citations
12.
Avdievich, Nikolai I., et al.. (2021). Unshielded bent folded‐end dipole 9.4 T human head transceiver array decoupled using modified passive dipoles. Magnetic Resonance in Medicine. 86(1). 581–597. 17 indexed citations
13.
Avdievich, Nikolai I., et al.. (2021). 9.4 T double‐tuned 13C/1H human head array using a combination of surface loops and dipole antennas. NMR in Biomedicine. 34(10). e4577–e4577. 12 indexed citations
14.
Avdievich, Nikolai I., et al.. (2021). Folded‐end dipole transceiver array for human whole‐brain imaging at 7 T. NMR in Biomedicine. 34(8). e4541–e4541. 15 indexed citations
15.
Ruhm, Loreen, et al.. (2021). Comparison of four 31P single‐voxel MRS sequences in the human brain at 9.4 T. Magnetic Resonance in Medicine. 85(6). 3010–3026. 8 indexed citations
16.
Avdievich, Nikolai I., et al.. (2020). Decoupling of folded‐end dipole antenna elements of a 9.4 T human head array using an RF shield. NMR in Biomedicine. 33(9). e4351–e4351. 17 indexed citations
17.
Avdievich, Nikolai I., et al.. (2020). Double‐tuned 31P/1H human head array with high performance at both frequencies for spectroscopic imaging at 9.4T. Magnetic Resonance in Medicine. 84(2). 1076–1089. 22 indexed citations
18.
Borbáth, Tamás, et al.. (2020). 31P Transversal Relaxation Times in the Human Brain at 9.4T. MPG.PuRe (Max Planck Society). 1 indexed citations
19.
Ruhm, Loreen, et al.. (2020). Decoupling of Folded Dipole Antenna Elements of a Human Head Array at 9.4T. MPG.PuRe (Max Planck Society). 464. 1 indexed citations
20.
Avdievich, Nikolai I., et al.. (2019). Evaluation of short folded dipole antennas as receive elements of ultra‐high‐field human head array. Magnetic Resonance in Medicine. 82(2). 811–824. 18 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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