Magnus Nydén

4.6k total citations
141 papers, 3.9k citations indexed

About

Magnus Nydén is a scholar working on Organic Chemistry, Nuclear and High Energy Physics and Materials Chemistry. According to data from OpenAlex, Magnus Nydén has authored 141 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Organic Chemistry, 42 papers in Nuclear and High Energy Physics and 28 papers in Materials Chemistry. Recurrent topics in Magnus Nydén's work include NMR spectroscopy and applications (42 papers), Surfactants and Colloidal Systems (36 papers) and Polymer Surface Interaction Studies (19 papers). Magnus Nydén is often cited by papers focused on NMR spectroscopy and applications (42 papers), Surfactants and Colloidal Systems (36 papers) and Polymer Surface Interaction Studies (19 papers). Magnus Nydén collaborates with scholars based in Sweden, Australia and United Kingdom. Magnus Nydén's co-authors include Krister Holmberg, Lars Nordstierna, Olle Söderman, Markus Andersson Trojer, Niklas Lorén, Mikael Larsson, Magnus Röding, H. Scott Fogler, Åsa Östlund and Anne‐Marie Hermansson and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Magnus Nydén

140 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Magnus Nydén Sweden 38 1.0k 698 649 567 558 141 3.9k
Watson Loh Brazil 40 2.1k 2.0× 667 1.0× 993 1.5× 770 1.4× 738 1.3× 154 5.2k
Rui Zhang China 32 704 0.7× 824 1.2× 930 1.4× 514 0.9× 530 0.9× 215 4.4k
Bengt Kronberg Sweden 31 2.7k 2.5× 657 0.9× 1.2k 1.8× 272 0.5× 436 0.8× 70 5.0k
Th. F. Tadros United Kingdom 42 1.9k 1.8× 1.0k 1.4× 1.5k 2.3× 323 0.6× 801 1.4× 140 6.0k
Pietro Calandra Italy 34 590 0.6× 451 0.6× 1.0k 1.6× 140 0.2× 494 0.9× 125 3.4k
Elliot P. Gilbert Australia 49 503 0.5× 905 1.3× 997 1.5× 114 0.2× 1.1k 2.0× 239 7.7k
Bronisław Jańczuk Poland 40 2.0k 1.9× 881 1.3× 832 1.3× 365 0.6× 343 0.6× 234 5.2k
Tharwat F. Tadros United Kingdom 30 1.6k 1.6× 615 0.9× 1.3k 2.1× 316 0.6× 488 0.9× 95 5.2k
Slavka Tcholakova Bulgaria 45 2.0k 1.9× 1.1k 1.5× 3.1k 4.8× 990 1.7× 269 0.5× 135 6.3k
E. D. Goddard United States 35 4.2k 4.0× 589 0.8× 1.1k 1.7× 436 0.8× 368 0.7× 88 6.7k

Countries citing papers authored by Magnus Nydén

Since Specialization
Citations

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

Fields of papers citing papers by Magnus Nydén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magnus Nydén

This figure shows the co-authorship network connecting the top 25 collaborators of Magnus Nydén. A scholar is included among the top collaborators of Magnus Nydén 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 Magnus Nydén. Magnus Nydén 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.
Nydén, Magnus, et al.. (2025). Artificial intelligence-based personalised learning in education: a systematic literature review. Discover Artificial Intelligence. 5(1).
2.
Löfroth, Jan‐Erik, et al.. (2015). On the percolation of alginate/calcium systems at low concentrations. Carbohydrate Polymers. 137. 480–487. 3 indexed citations
3.
Abrahamsson, Christoffer, Lars Nordstierna, Johan Bergenholtz, Annika Altskär, & Magnus Nydén. (2014). Magnetically induced structural anisotropy in binary colloidal gels and its effect on diffusion and pressure driven permeability. Soft Matter. 10(24). 4403–4412. 8 indexed citations
4.
Larsson, Mikael, et al.. (2013). Biomedical applications and colloidal properties of amphiphilically modified chitosan hybrids. Progress in Polymer Science. 38(9). 1307–1328. 83 indexed citations
5.
Tehrani‐Bagha, Ali Reza, Krister Holmberg, Magnus Nydén, & Lars Nordstierna. (2013). Micelle growth of cationic gemini surfactants studied by NMR and by time-resolved fluorescence quenching. Journal of Colloid and Interface Science. 405. 145–149. 15 indexed citations
6.
Trojer, Markus Andersson, et al.. (2013). Encapsulation of actives for sustained release. Physical Chemistry Chemical Physics. 15(41). 17727–17727. 87 indexed citations
7.
Abrahamsson, Christoffer, et al.. (2011). Composite silica gel as test bed for flow in nano porous materials. UCL Discovery (University College London). 21. 27. 2 indexed citations
8.
Harris, Richard H., et al.. (2010). Characterizing Nanoparticle Emissions from Burning Polymer Nanocomposites. TechConnect Briefs. 1(2010). 717–719. 1 indexed citations
9.
Dahlbäck, Björn, Hans Blanck, & Magnus Nydén. (2010). The Challenge to Find New Sustainable Antifouling Approaches for Shipping. Chalmers Publication Library (Chalmers University of Technology). 34(1). 212–215. 14 indexed citations
10.
Östlund, Åsa, Tobias Köhnke, Lars Nordstierna, & Magnus Nydén. (2009). NMR cryoporometry to study the fiber wall structure and the effect of drying. Cellulose. 17(2). 321–328. 50 indexed citations
11.
Lorén, Niklas, Magnus Nydén, & Anne‐Marie Hermansson. (2009). Determination of local diffusion properties in heterogeneous biomaterials. Advances in Colloid and Interface Science. 150(1). 5–15. 56 indexed citations
12.
13.
14.
Ostrovskii, Denis, et al.. (2004). NMR diffusometry and FTIR in the study of the interaction between antifouling agent and binder in marine paints. Progress in Organic Coatings. 51(2). 125–133. 8 indexed citations
15.
Bender, Johanna, et al.. (2003). Diffusion of water in multilamellar vesicles of dialkyl and dialkyl ester ammonium surfactants. Colloids and Surfaces A Physicochemical and Engineering Aspects. 228(1-3). 64–73. 17 indexed citations
16.
Boissier, Catherine, Jan‐Erik Löfroth, & Magnus Nydén. (2003). Water-Based Latex Dispersions. 3. Exchange Dynamics of Nonionic Surfactants and Poly(ethylene glycol) on Colloidal Particles with Different Interfacial Properties. The Journal of Physical Chemistry B. 107(29). 7064–7069. 10 indexed citations
17.
Wattana, Piyarat, et al.. (2003). Characterization of fractionated asphaltenes by UV–vis and NMR self-diffusion spectroscopy. Journal of Colloid and Interface Science. 271(2). 372–380. 67 indexed citations
18.
Venkatesan, R., et al.. (2003). The Effect of Asphaltenes on the Gelation of Waxy Oils. Energy & Fuels. 17(6). 1630–1640. 177 indexed citations
19.
Nydén, Magnus, et al.. (2001). Dispersion Stability Evaluated by Experimental Design. Journal of Dispersion Science and Technology. 22(2-3). 297–309. 3 indexed citations
20.
Nydén, Magnus, et al.. (1999). Microstructure of Protein−Surfactant Complexes in Gel and SolutionAn NMR Relaxation Study. Langmuir. 15(17). 5480–5488. 26 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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