Markus Nilsson

9.0k total citations · 1 hit paper
160 papers, 5.5k citations indexed

About

Markus Nilsson is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Orthopedics and Sports Medicine. According to data from OpenAlex, Markus Nilsson has authored 160 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Nuclear and High Energy Physics and 23 papers in Orthopedics and Sports Medicine. Recurrent topics in Markus Nilsson's work include Advanced Neuroimaging Techniques and Applications (111 papers), Advanced MRI Techniques and Applications (64 papers) and MRI in cancer diagnosis (47 papers). Markus Nilsson is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (111 papers), Advanced MRI Techniques and Applications (64 papers) and MRI in cancer diagnosis (47 papers). Markus Nilsson collaborates with scholars based in Sweden, United States and United Kingdom. Markus Nilsson's co-authors include Danielle van Westen, Filip Szczepankiewicz, Jimmy Lätt, Daniel Topgaard, Freddy Ståhlberg, Samo Lasič, Carl‐Fredrik Westin, Pia C. Sundgren, Olle Söderman and Björn Lampinen and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Markus Nilsson

156 papers receiving 5.4k citations

Hit Papers

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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.

Imaging brain microstructure with diffusion MRI: practicality and applications

2017 264 citations Daniel C. Alexander, Tim B. Dyrby et al. NMR in Biomedicine profile →

Author Peers

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

Author						Papers	Cites
Markus Nilsson	4.1k	814	639	471	460	160	5.5k
Thomas H. Mareci	3.1k 0.7×	281 0.3×	773 1.2×	422 0.9×	553 1.2×	135	5.0k
Richard G. Spencer	1.8k 0.4×	476 0.6×	357 0.6×	93 0.2×	168 0.4×	223	6.2k
Risto A. Kauppinen	4.7k 1.1×	129 0.2×	355 0.6×	400 0.8×	800 1.7×	245	10.8k
Peter B. Kingsley	1.3k 0.3×	74 0.1×	199 0.3×	160 0.3×	506 1.1×	74	2.7k
William D. Rooney	3.1k 0.7×	82 0.1×	233 0.4×	206 0.4×	245 0.5×	166	6.4k
Pascal Spincemaille	4.8k 1.2×	80 0.1×	430 0.7×	123 0.3×	847 1.8×	174	6.5k
Jianmin Wang	3.9k 1.0×	49 0.1×	174 0.3×	83 0.2×	446 1.0×	93	6.0k
Mats Bergström	3.3k 0.8×	231 0.3×	39 0.1×	243 0.5×	418 0.9×	271	8.9k
J. H. Lee	1.1k 0.3×	41 0.1×	367 0.6×	99 0.2×	465 1.0×	105	2.6k
Sylviane Confort‐Gouny	1.8k 0.4×	104 0.1×	99 0.2×	338 0.7×	1.3k 2.8×	120	5.1k

Countries citing papers authored by Markus Nilsson

Since Specialization

Citations

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

Fields of papers citing papers by Markus Nilsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Nilsson

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Nilsson. A scholar is included among the top collaborators of Markus Nilsson 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 Markus Nilsson. Markus Nilsson 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

Palombo, Marco, Benedetta Bodini, Francesco Grussu, et al.. (2025). ESR Essentials: diffusion-weighted MRI—practice recommendations by the European Society for Magnetic Resonance in Medicine and Biology. European Radiology. 36(3). 2198–2208.

Shin, Hyeong‐Geol, Xu Li, Hye‐Young Heo, et al.. (2024). Compartmental anisotropy of filtered exchange imaging (FEXI) in human white matter: What is happening in FEXI?. Magnetic Resonance in Medicine. 92(2). 660–675. 3 indexed citations

Kornaropoulos, Evgenios, Kaj Blennow, Henrik Zetterberg, et al.. (2024). Widespread White Matter Abnormalities in Concussed Athletes Detected by 7T Diffusion Magnetic Resonance Imaging. Journal of Neurotrauma. 41(13-14). 1533–1549. 2 indexed citations

Hernández‐Tamames, Juan A., Andrada Ianuș, Markus Nilsson, et al.. (2023). Advanced Diffusion‐Weighted MRI for Cancer Microstructure Assessment in Body Imaging, and Its Relationship With Histology. Journal of Magnetic Resonance Imaging. 60(4). 1278–1304. 8 indexed citations

Foo, Thomas, et al.. (2023). Diffusion MRI with free gradient waveforms on a high-performance gradient system: Probing restriction and exchange in the human brain. NeuroImage. 283. 120409–120409. 13 indexed citations

Spotorno, Nicola, Olof Strandberg, Erik Stomrud, et al.. (2023). Diffusion MRI tracks cortical microstructural changes during the early stages of Alzheimer’s disease. Brain. 147(3). 961–969. 17 indexed citations

Westin, Carl‐Fredrik, et al.. (2022). Diffusion MRI with pulsed and free gradient waveforms: Effects of restricted diffusion and exchange. NMR in Biomedicine. 36(1). e4827–e4827. 20 indexed citations

Reymbaut, Alexis, Guillaume Gilbert, Filip Szczepankiewicz, et al.. (2021). Magic DIAMOND: Multi-fascicle diffusion compartment imaging with tensor distribution modeling and tensor-valued diffusion encoding. Medical Image Analysis. 70. 101988–101988. 9 indexed citations

Nilsson, Markus, Filip Szczepankiewicz, Mikael Skorpil, et al.. (2021). Mapping prostatic microscopic anisotropy using linear and spherical b‐tensor encoding: A preliminary study. Magnetic Resonance in Medicine. 86(4). 2025–2033. 15 indexed citations

10.

Lampinen, Björn, Jimmy Lätt, Johan Wassélius, Danielle van Westen, & Markus Nilsson. (2021). Time dependence in diffusion MRI predicts tissue outcome in ischemic stroke patients. Magnetic Resonance in Medicine. 86(2). 754–764. 18 indexed citations

11.

Lampinen, Björn, Filip Szczepankiewicz, Johan Mårtensson, et al.. (2020). Towards unconstrained compartment modeling in white matter using diffusion‐relaxation MRI with tensor‐valued diffusion encoding. Magnetic Resonance in Medicine. 84(3). 1605–1623. 61 indexed citations

12.

Lasič, Samo, Henrik Lundell, Markus Nilsson, et al.. (2020). Disentangling white-matter damage from physiological fibre orientation dispersion in multiple sclerosis. Brain Communications. 2(2). fcaa077–fcaa077. 52 indexed citations

13.

Lampinen, Björn, Isabella M. Björkman‐Burtscher, Filip Szczepankiewicz, et al.. (2020). Tensor‐valued diffusion MRI differentiates cortex and white matter in malformations of cortical development associated with epilepsy. Epilepsia. 61(8). 1701–1713. 28 indexed citations

14.

Szczepankiewicz, Filip, Jens Sjölund, Freddy Ståhlberg, Jimmy Lätt, & Markus Nilsson. (2019). Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems. PLoS ONE. 14(3). e0214238–e0214238. 69 indexed citations

15.

Lundell, Henrik, Markus Nilsson, Tim B. Dyrby, et al.. (2019). Multidimensional diffusion MRI with spectrally modulated gradients reveals unprecedented microstructural detail. Scientific Reports. 9(1). 9026–9026. 52 indexed citations

16.

Szczepankiewicz, Filip, Carl‐Fredrik Westin, & Markus Nilsson. (2019). Maxwell‐compensated design of asymmetric gradient waveforms for tensor‐valued diffusion encoding. Magnetic Resonance in Medicine. 82(4). 1424–1437. 77 indexed citations

17.

Lasič, Samo, Filip Szczepankiewicz, Erica Dall’Armellina, et al.. (2019). Motion‐compensated b‐tensor encoding for in vivo cardiac diffusion‐weighted imaging. NMR in Biomedicine. 33(2). e4213–e4213. 20 indexed citations

18.

Lampinen, Björn, Filip Szczepankiewicz, Danielle van Westen, et al.. (2018). Can the neurite density be estimated with diffusion MRI? A multidimensional MRI study using b-tensor encoding and multiple echo times. arXiv (Cornell University). 1 indexed citations

19.

Alexander, Daniel C., Tim B. Dyrby, Markus Nilsson, & Hui Zhang. (2017). Imaging brain microstructure with diffusion MRI: practicality and applications. NMR in Biomedicine. 32(4). e3841–e3841. 264 indexed citations breakdown →

20.

Lasič, Samo, et al.. (2009). Measuring molecular exchange for water in a yeast cell suspension through NMR diffusometry. Diffusion fundamentals.. 11. 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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