Bernard Lanz

1.2k total citations
47 papers, 842 citations indexed

About

Bernard Lanz is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bernard Lanz has authored 47 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Spectroscopy and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bernard Lanz's work include Advanced MRI Techniques and Applications (35 papers), Advanced NMR Techniques and Applications (22 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Bernard Lanz is often cited by papers focused on Advanced MRI Techniques and Applications (35 papers), Advanced NMR Techniques and Applications (22 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Bernard Lanz collaborates with scholars based in Switzerland, United Kingdom and Austria. Bernard Lanz's co-authors include Rolf Gruetter, João M. N. Duarte, Carole Poitry‐Yamate, Cristina Cudalbu, Lijing Xin, Vladı́mir Mlynárik, Olivier Braissant, Veronika Račkayová, Florence D. Morgenthaler and P. Millet and has published in prestigious journals such as Journal of Clinical Investigation, NeuroImage and Analytical Biochemistry.

In The Last Decade

Bernard Lanz

44 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Lanz Switzerland 15 415 226 196 172 126 47 842
In‐Young Choi United States 15 911 2.2× 382 1.7× 331 1.7× 321 1.9× 208 1.7× 34 1.7k
Uwe Seeger Germany 13 552 1.3× 209 0.9× 110 0.6× 98 0.6× 62 0.5× 23 801
Jack J.A. van Asten Netherlands 19 397 1.0× 91 0.4× 210 1.1× 110 0.6× 118 0.9× 35 799
Caroline Guglielmetti United States 18 329 0.8× 149 0.7× 248 1.3× 153 0.9× 95 0.8× 28 1.2k
Patrick Viout France 26 787 1.9× 132 0.6× 424 2.2× 65 0.4× 150 1.2× 53 1.9k
Heiko G. Niessen Germany 20 122 0.3× 141 0.6× 300 1.5× 265 1.5× 104 0.8× 40 1.1k
Cristina Cudalbu Switzerland 23 756 1.8× 484 2.1× 365 1.9× 160 0.9× 201 1.6× 80 1.7k
Guido Buonincontri United Kingdom 19 583 1.4× 53 0.2× 194 1.0× 182 1.1× 69 0.5× 54 1.1k
Pierre-Gilles Henry United States 14 358 0.9× 140 0.6× 364 1.9× 422 2.5× 119 0.9× 21 941
Isaac Marin‐Valencia United States 18 424 1.0× 150 0.7× 759 3.9× 158 0.9× 333 2.6× 29 1.7k

Countries citing papers authored by Bernard Lanz

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Lanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Lanz

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Lanz. A scholar is included among the top collaborators of Bernard Lanz 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 Bernard Lanz. Bernard Lanz 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.
Strasser, Bernhard, et al.. (2026). Advanced methods in deuterium metabolic imaging. Magnetic Resonance Materials in Physics Biology and Medicine.
2.
Bogner, Wolfgang, Lukas Hingerl, Bernard Lanz, et al.. (2025). Comparison of Low‐Rank Denoising Methods for Dynamic Deuterium MRSI at 7 T. NMR in Biomedicine. 38(10). e70125–e70125. 1 indexed citations
3.
Buscemi, Lara, Mario Lepore, Bernard Lanz, et al.. (2025). Tracking Hyperpolarized [1‐13C] Pyruvate and [1‐13C] L‐Lactate Metabolism in the Healthy and Post‐Stroke Mouse Brain. NMR in Biomedicine. 38(8). e70094–e70094. 1 indexed citations
4.
5.
Simičić, Dunja, Wolfgang Bogner, Bernard Lanz, et al.. (2024). Noise‐reduction techniques for 1H‐FID‐MRSI at 14.1 T: Monte Carlo validation and in vivo application. NMR in Biomedicine. 37(11). e5211–e5211. 1 indexed citations
6.
Simičić, Dunja, Ruud B. van Heeswijk, Jana Starčuková, et al.. (2024). Fast High‐Resolution Metabolite Mapping in the rat Brain Using 1H‐FID‐MRSI at 14.1 T. NMR in Biomedicine. 38(2). e5304–e5304.
7.
8.
Simičić, Dunja, et al.. (2023). Diffusion‐weighted SPECIAL improves the detection of J‐coupled metabolites at ultrahigh magnetic field. Magnetic Resonance in Medicine. 91(1). 4–18. 1 indexed citations
9.
10.
Yin, Ting, Carole Poitry‐Yamate, Dunja Simičić, et al.. (2022). PET CMRglc mapping and 1H-MRS show altered glucose uptake and neurometabolic profiles in BDL rats. Analytical Biochemistry. 647. 114606–114606. 11 indexed citations
11.
Mishkovsky, Mor, Olga Gusyatiner, Bernard Lanz, et al.. (2021). Hyperpolarized 13C-glucose magnetic resonance highlights reduced aerobic glycolysis in vivo in infiltrative glioblastoma. Scientific Reports. 11(1). 5771–5771. 14 indexed citations
12.
13.
Fernandes, Carolina, Bernard Lanz, Chen Chen, Peter G. Morris, & Carlos Ernesto Garrido Salmón. (2020). Investigating the regional effect of the chemical shift displacement artefact on the J‐modulated lactate signal at ultra high‐field. NMR in Biomedicine. 34(2). e4440–e4440. 2 indexed citations
14.
Kreis, Roland, Vincent O. Boer, In‐Young Choi, et al.. (2020). Terminology and concepts for the characterization of in vivo MR spectroscopy methods and MR spectra: Background and experts' consensus recommendations. NMR in Biomedicine. 34(5). e4347–e4347. 78 indexed citations
15.
Lanz, Bernard, Alireza Abaei, Olivier Braissant, et al.. (2020). Magnetic resonance spectroscopy in the rodent brain: Experts' consensus recommendations. NMR in Biomedicine. 34(5). e4325–e4325. 14 indexed citations
16.
Lanz, Bernard, Fausto Andreola, Javier Ampuero, et al.. (2016). New technologies – new insights into the pathogenesis of hepatic encephalopathy. Metabolic Brain Disease. 31(6). 1259–1267. 9 indexed citations
17.
Račkayová, Veronika, et al.. (2015). 1H and 31P magnetic resonance spectroscopy in a rat model of chronic hepatic encephalopathy: in vivo longitudinal measurements of brain energy metabolism. Metabolic Brain Disease. 31(6). 1303–1314. 41 indexed citations
18.
Lanz, Bernard, Carole Poitry‐Yamate, & Rolf Gruetter. (2014). Image-Derived Input Function from the Vena Cava for18F-FDG PET Studies in Rats and Mice. Journal of Nuclear Medicine. 55(8). 1380–1388. 52 indexed citations
19.
Duarte, João M. N., Bernard Lanz, & Rolf Gruetter. (2011). Compartmentalized Cerebral Metabolism of [1,6-13C]Glucose Determined by in vivo13C NMR Spectroscopy at 14.1 T. PubMed. 3. 3–3. 65 indexed citations
20.
Cudalbu, Cristina, et al.. (2009). Glutamine synthesis rate in the hyperammonaemic rat brain using simultaneous localized in vivo H-1 and N-15 MRS. Journal of Cerebral Blood Flow & Metabolism. 29. 609–610. 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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