Daniel Topgaard

8.2k total citations
168 papers, 6.0k citations indexed

About

Daniel Topgaard is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Spectroscopy. According to data from OpenAlex, Daniel Topgaard has authored 168 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Radiology, Nuclear Medicine and Imaging, 74 papers in Nuclear and High Energy Physics and 53 papers in Spectroscopy. Recurrent topics in Daniel Topgaard's work include NMR spectroscopy and applications (74 papers), Advanced Neuroimaging Techniques and Applications (65 papers) and Advanced MRI Techniques and Applications (49 papers). Daniel Topgaard is often cited by papers focused on NMR spectroscopy and applications (74 papers), Advanced Neuroimaging Techniques and Applications (65 papers) and Advanced MRI Techniques and Applications (49 papers). Daniel Topgaard collaborates with scholars based in Sweden, United States and Germany. Daniel Topgaard's co-authors include Olle Söderman, Markus Nilsson, Samo Lasič, Emma Sparr, Quoc Dat Pham, Filip Szczepankiewicz, Carl‐Fredrik Westin, Agnieszka Nowacka, Stefanie Eriksson and Sebastian Björklund and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Daniel Topgaard

162 papers receiving 5.9k citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Topgaard 2.8k 1.3k 884 870 604 168 6.0k
Laurance D. Hall 1.6k 0.6× 846 0.7× 862 1.0× 880 1.0× 175 0.3× 238 5.0k
Jiadi Xu 2.3k 0.8× 240 0.2× 886 1.0× 989 1.1× 86 0.1× 148 6.4k
Laurel O. Sillerud 956 0.3× 235 0.2× 987 1.1× 385 0.4× 14 0.0× 83 3.7k
Holger A. Scheidt 103 0.0× 61 0.0× 2.0k 2.2× 489 0.6× 106 0.2× 139 4.4k
A. G. Ogston 160 0.1× 61 0.0× 1.4k 1.6× 475 0.5× 67 0.1× 80 4.0k
Maria Cristina Menziani 133 0.0× 59 0.0× 1.3k 1.5× 544 0.6× 36 0.1× 196 5.6k
Nils O. Petersen 180 0.1× 42 0.0× 2.4k 2.7× 301 0.3× 47 0.1× 136 5.2k
Wojciech Froncisz 782 0.3× 199 0.2× 688 0.8× 773 0.9× 7 0.0× 119 3.5k
Wolfgang Becker 641 0.2× 19 0.0× 615 0.7× 91 0.1× 454 0.8× 88 3.4k
James Peeling 544 0.2× 57 0.0× 942 1.1× 289 0.3× 29 0.0× 132 4.5k

Countries citing papers authored by Daniel Topgaard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Topgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Topgaard

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Topgaard. A scholar is included among the top collaborators of Daniel Topgaard 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 Daniel Topgaard. Daniel Topgaard 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.
Topgaard, Daniel, et al.. (2025). Effect of intermediate polarity molecule on phase transitions and bilayer structure in phospholipid membranes. Journal of Colloid and Interface Science. 686. 556–566.
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Topgaard, Daniel, et al.. (2024). Diet-Induced Obesity Modulates Close-Packing of Triacylglycerols in Lipid Droplets of Adipose Tissue. Journal of the American Chemical Society. 146(50). 34796–34810. 4 indexed citations
4.
Jiang, Hongyuan, et al.. (2024). Nonparametric distributions of tensor-valued Lorentzian diffusion spectra for model-free data inversion in multidimensional diffusion MRI. The Journal of Chemical Physics. 161(8). 3 indexed citations
5.
Bao, Shunxing, et al.. (2024). Variability of multidimensional diffusion–relaxation MRI estimates in the human brain. Imaging Neuroscience. 2. 4 indexed citations
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Topgaard, Daniel, et al.. (2022). In situ 13 C solid‐state polarization transfer NMR to follow starch transformations in food. Magnetic Resonance in Chemistry. 60(7). 671–677. 7 indexed citations
9.
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
10.
Martins, J., Chantal M. W. Tax, Alexis Reymbaut, et al.. (2020). Computing and visualising intra‐voxel orientation‐specific relaxation–diffusion features in the human brain. Human Brain Mapping. 42(2). 310–328. 31 indexed citations
11.
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
12.
Steer, Dylan, et al.. (2018). Structure of Lung-Mimetic Multilamellar Bodies with Lipid Compositions Relevant in Pneumonia. Langmuir. 34(25). 7561–7574. 11 indexed citations
13.
Ferreira, Tiago Mendes, Rohit Sood, Roman Volinsky, et al.. (2016). Oxidized Lipids in Model Membranes: Atomistic Details from Solid-State NMR Experiments and MD Simulations. Biophysical Journal. 110(3). 584a–584a. 2 indexed citations
14.
Ferreira, Tiago Mendes, et al.. (2014). Lipid Bilayer Structure and Dynamics Studied with Molecular Dynamics Simulations and NMR Measurements. Biophysical Journal. 106(2). 41a–41a. 1 indexed citations
15.
Bernin, Diana & Daniel Topgaard. (2013). NMR diffusion and relaxation correlation methods: New insights in heterogeneous materials. Current Opinion in Colloid & Interface Science. 18(3). 166–172. 72 indexed citations
16.
Kirsebom, Harald, Daniel Topgaard, Igor Yu. Galaev, & Bo Mattìasson. (2010). Modulating the Porosity of Cryogels by Influencing the Nonfrozen Liquid Phase through the Addition of Inert Solutes. Langmuir. 26(20). 16129–16133. 77 indexed citations
17.
Lasič, Samo, et al.. (2009). Measuring molecular exchange for water in a yeast cell suspension through NMR diffusometry. Diffusion fundamentals.. 11. 1 indexed citations
18.
Lasič, Samo, et al.. (2009). Fast MRI for spatially resolved quantitative information on molecular exchange. Diffusion fundamentals.. 11. 2 indexed citations
19.
Ferreira, Tiago Mendes, Bruno Medronho, & Daniel Topgaard. (2008). PHYS 352-13C-1H Dipolar couplings vs. temperature studies on CiEj/water mixtures using the R-PDLF method. Lund University Publications (Lund University). 1 indexed citations
20.
Silva, Cláudia, Daniel Topgaard, Vitaly Kocherbitov, et al.. (2007). Stratum corneum hydration: Phase transformations and mobility in stratum corneum, extracted lipids and isolated corneocytes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1768(11). 2647–2659. 100 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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