Christian Langkammer

6.6k total citations · 3 hit papers
85 papers, 4.9k citations indexed

About

Christian Langkammer is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Christian Langkammer has authored 85 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Pathology and Forensic Medicine and 15 papers in Neurology. Recurrent topics in Christian Langkammer's work include Advanced Neuroimaging Techniques and Applications (42 papers), Advanced MRI Techniques and Applications (40 papers) and Multiple Sclerosis Research Studies (24 papers). Christian Langkammer is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (42 papers), Advanced MRI Techniques and Applications (40 papers) and Multiple Sclerosis Research Studies (24 papers). Christian Langkammer collaborates with scholars based in Austria, United States and Germany. Christian Langkammer's co-authors include Stefan Ropele, Franz Fazekas, Walter Goessler, Christian Enzinger, Kathrin Yen, Eva Scheurer, Michael Khalil, Siegrid Fuchs, Ferdinand Schweser and Margit Jehna and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Christian Langkammer

83 papers receiving 4.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study

2012 605 citations Christian Langkammer, Ferdinand Schweser et al. NeuroImage profile →
Mechanical characterization of human brain tissue

2016 464 citations Christoph Birkl, Christian Langkammer et al. profile →
Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro‐magnetic tissue properties study group

2024 58 citations Berkin Bilgic̦, Mauro Costagli et al. Magnetic Resonance in Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christian Langkammer Austria	37	2.5k	1.0k	1.0k	729	592	85	4.9k
Yulin Ge United States	46	4.1k 1.7×	2.0k 1.9×	1.8k 1.8×	1.0k 1.4×	686 1.2×	133	7.5k
Ferdinand Schweser United States	32	3.1k 1.3×	646 0.6×	1.0k 1.0×	820 1.1×	475 0.8×	97	4.6k
Frank Träber Germany	41	2.6k 1.1×	485 0.5×	637 0.6×	485 0.7×	411 0.7×	133	4.6k
Paul S. Morgan United Kingdom	49	2.8k 1.1×	1.4k 1.4×	1.6k 1.6×	2.1k 2.9×	529 0.9×	153	7.4k
Julien Cohen‐Adad Canada	51	4.5k 1.8×	1.9k 1.9×	719 0.7×	1.2k 1.6×	330 0.6×	206	8.0k
Alex L. MacKay Canada	48	6.1k 2.5×	1.7k 1.7×	562 0.6×	813 1.1×	1.1k 1.9×	154	8.9k
Masaaki Hori Japan	41	3.4k 1.4×	516 0.5×	1.3k 1.3×	622 0.9×	225 0.4×	234	5.4k
Cristina Granziera Switzerland	31	1.2k 0.5×	1.8k 1.7×	727 0.7×	620 0.9×	636 1.1×	162	4.2k
Min‐Ying Su United States	45	4.4k 1.8×	725 0.7×	549 0.5×	374 0.5×	713 1.2×	235	7.4k
Kei Yamada Japan	48	3.6k 1.4×	442 0.4×	1.6k 1.6×	887 1.2×	834 1.4×	388	8.3k

Countries citing papers authored by Christian Langkammer

Since Specialization

Citations

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

Fields of papers citing papers by Christian Langkammer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Langkammer

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Langkammer. A scholar is included among the top collaborators of Christian Langkammer 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 Christian Langkammer. Christian Langkammer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ropele, Stefan, et al.. (2025). Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers Using R2* Maps and Spectral Clustering. 1497–1501.

Guan, Xiaojun, et al.. (2024). Neuroimaging of Parkinson's disease by quantitative susceptibility mapping. NeuroImage. 289. 120547–120547. 28 indexed citations

Otaduy, Maria Concepción García, et al.. (2024). Biophysical contrast sources for magnetic susceptibility and R2* mapping: A combined 7 Tesla, mass spectrometry and electron paramagnetic resonance study. NeuroImage. 302. 120892–120892. 2 indexed citations

Bilgic̦, Berkin, Mauro Costagli, Kwok‐Shing Chan, et al.. (2024). Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro‐magnetic tissue properties study group. Magnetic Resonance in Medicine. 91(5). 1834–1862. 58 indexed citations breakdown →

Deichmann, Ralf, et al.. (2024). A fast protocol for multicenter and multiparametric quantitative MRI studies in brain tumor patients using vendor sequences. Neuro-Oncology Advances. 6(1). vdae117–vdae117.

Milovic, Carlos, Lambert Mathias, Christian Langkammer, et al.. (2021). Streaking artifact suppression of quantitative susceptibility mapping reconstructions via L1‐norm data fidelity optimization (L1‐QSM). Magnetic Resonance in Medicine. 87(1). 457–473. 10 indexed citations

Marques, José P., Jakob Meineke, Carlos Milovic, et al.. (2021). QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures. Magnetic Resonance in Medicine. 86(1). 526–542. 40 indexed citations

Bilgic̦, Berkin, Christian Langkammer, José P. Marques, et al.. (2021). QSM reconstruction challenge 2.0: Design and report of results. Magnetic Resonance in Medicine. 86(3). 1241–1255. 43 indexed citations

Pirpamer, Lukas, Edith Hofer, Christian Enzinger, et al.. (2020). Cross-sectional and Longitudinal Assessment of Brain Iron Level in Alzheimer Disease Using 3-T MRI. Radiology. 296(3). 619–626. 85 indexed citations

10.

Birkl, Christoph, Christian Langkammer, Pascal Sati, et al.. (2019). Quantitative Susceptibility Mapping to Assess Cerebral Vascular Compliance. American Journal of Neuroradiology. 40(3). 460–463. 5 indexed citations

11.

Burgetová, Andrea, Petr Dušek, Manuela Vaněčková, et al.. (2017). Thalamic Iron Differentiates Primary-Progressive and Relapsing-Remitting Multiple Sclerosis. American Journal of Neuroradiology. 38(6). 1079–1086. 33 indexed citations

12.

Voortman, Margarete M., Tatjana Stojaković, Lukas Pirpamer, et al.. (2016). Prognostic value of free light chains lambda and kappa in early multiple sclerosis. Multiple Sclerosis Journal. 23(11). 1496–1505. 36 indexed citations

13.

Langkammer, Christian, Kristian Bredies, Benedikt A. Poser, et al.. (2015). Fast quantitative susceptibility mapping using 3D EPI and total generalized variation. NeuroImage. 111. 622–630. 146 indexed citations

14.

Loitfelder, Marisa, Daniela Pinter, Christian Langkammer, et al.. (2014). Functional Connectivity Analyses Using Emulated and Conventional Resting-State Data: Parts Versus the Whole Story. Brain Connectivity. 4(10). 842–848. 5 indexed citations

15.

Jehna, Margit, Christian Langkammer, Michael Khalil, et al.. (2013). An Exploratory Study on the Spatial Relationship Between Regional Cortical Volume Changes and White Matter Integrity in Multiple Sclerosis. Brain Connectivity. 3(3). 255–264. 13 indexed citations

16.

Reishofer, Gernot, Karl Koschutnig, Christian Langkammer, et al.. (2013). Time-Optimized High-Resolution Readout-Segmented Diffusion Tensor Imaging. PLoS ONE. 8(9). e74156–e74156. 3 indexed citations

17.

Soellinger, Michaela, Christian Langkammer, Thomas Seifert‐Held, Franz Fazekas, & Stefan Ropele. (2011). Fast bound pool fraction mapping using stimulated echoes. Magnetic Resonance in Medicine. 66(3). 717–724. 21 indexed citations

18.

Ropele, Stefan, Michael Khalil, Mike P. Wattjes, et al.. (2011). MRI assessment of iron deposition in multiple sclerosis. Journal of Magnetic Resonance Imaging. 34(1). 13–21. 81 indexed citations

19.

Ropele, Stefan, Christian Enzinger, Christian Langkammer, et al.. (2010). The Impact of Sex and Vascular Risk Factors on Brain Tissue Changes with Aging: Magnetization Transfer Imaging Results of the Austrian Stroke Prevention Study. American Journal of Neuroradiology. 31(7). 1297–1301. 25 indexed citations

20.

Langkammer, Christian, Walter Goessler, Eva Scheurer, et al.. (2010). Quantitative MR Imaging of Brain Iron: A Postmortem Validation Study. Radiology. 257(2). 455–462. 385 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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