Karin Bryskhe

497 total citations
10 papers, 380 citations indexed

About

Karin Bryskhe is a scholar working on Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Karin Bryskhe has authored 10 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organic Chemistry, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Karin Bryskhe's work include Advanced Neuroimaging Techniques and Applications (5 papers), MRI in cancer diagnosis (4 papers) and Surfactants and Colloidal Systems (4 papers). Karin Bryskhe is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (5 papers), MRI in cancer diagnosis (4 papers) and Surfactants and Colloidal Systems (4 papers). Karin Bryskhe collaborates with scholars based in Sweden, United States and United Kingdom. Karin Bryskhe's co-authors include Karin Schillén, Yuliya S. Mel'nikova, Ulf Olsson, Daniel Topgaard, Jörgen Jansson, Markus Nilsson, Jan‐Erik Löfroth, Samo Lasič, Filip Szczepankiewicz and Savannah C. Partridge and has published in prestigious journals such as The Journal of Physical Chemistry B, Macromolecules and Langmuir.

In The Last Decade

Karin Bryskhe

10 papers receiving 370 citations

Peers

Karin Bryskhe

OC

RNMI

MC

MB

SCF

Hans Beijleveld Netherlands

Roald Skurtveit Norway

Rita Cagnoli Italy

Vladimír Ďorďovič Czechia

Masateru Ito Japan

P. Leempoel France

Lorenzo Bordonali Italy

Andrey A. Tyutyunov Russia

Jenny Rackwitz Germany

Tatsuya Homma Japan

Hans Beijleveld Netherlands

Karin Bryskhe

152 ×0.6

OC

27 ×0.3

RNMI

122 ×1.6

MC

86 ×1.3

MB

52 ×0.9

SCF

Citations per year, relative to Karin Bryskhe Karin Bryskhe (= 1×) peers Hans Beijleveld

Countries citing papers authored by Karin Bryskhe

Since Specialization

Citations

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

Fields of papers citing papers by Karin Bryskhe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Bryskhe

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

All Works

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10 of 10 papers shown

1.

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

2.

Li, Sirui, Wenbo Sun, Samo Lasič, et al.. (2021). Glioma grading, molecular feature classification, and microstructural characterization using MR diffusional variance decomposition (DIVIDE) imaging. European Radiology. 31(11). 8197–8207. 16 indexed citations

3.

Naranjo, Isaac Daimiel, Alexis Reymbaut, Patrik Brynolfsson, et al.. (2021). Multidimensional Diffusion Magnetic Resonance Imaging for Characterization of Tissue Microstructure in Breast Cancer Patients: A Prospective Pilot Study. Cancers. 13(7). 1606–1606. 19 indexed citations

4.

Nilsson, Markus, Johan Larsson, Dan Lundberg, et al.. (2017). Liquid crystal phantom for validation of microscopic diffusion anisotropy measurements on clinical MRI systems. Magnetic Resonance in Medicine. 79(3). 1817–1828. 18 indexed citations

5.

Lasič, Samo, Stina Oredsson, Savannah C. Partridge, et al.. (2016). Apparent exchange rate for breast cancer characterization. NMR in Biomedicine. 29(5). 631–639. 38 indexed citations

6.

Bryskhe, Karin, Karin Schillén, Ulf Olsson, Anan Yaghmur, & Otto Glatter. (2005). Formation of Internally Nanostructured Triblock Copolymer Particles. Langmuir. 21(19). 8597–8600. 9 indexed citations

7.

Bryskhe, Karin, et al.. (2005). Vesicle Formation from Temperature Jumps in a Nonionic Surfactant System. The Journal of Physical Chemistry B. 109(19). 9265–9274. 47 indexed citations

8.

Bryskhe, Karin, Jörgen Jansson, Daniel Topgaard, Karin Schillén, & Ulf Olsson. (2004). Spontaneous Vesicle Formation in a Block Copolymer System. The Journal of Physical Chemistry B. 108(28). 9710–9719. 49 indexed citations

9.

Bryskhe, Karin, et al.. (2001). Lipid–block copolymer immiscibility. Physical Chemistry Chemical Physics. 3(7). 1303–1309. 30 indexed citations

10.

Schillén, Karin, Karin Bryskhe, & Yuliya S. Mel'nikova. (1999). Vesicles Formed from a Poly(ethylene oxide)−Poly(propylene oxide)−Poly(ethylene oxide) Triblock Copolymer in Dilute Aqueous Solution. Macromolecules. 32(20). 6885–6888. 139 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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