Maja Sohlin

573 total citations
11 papers, 450 citations indexed

About

Maja Sohlin is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Molecular Biology. According to data from OpenAlex, Maja Sohlin has authored 11 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Radiation and 2 papers in Molecular Biology. Recurrent topics in Maja Sohlin's work include Advanced Radiotherapy Techniques (5 papers), Medical Imaging Techniques and Applications (4 papers) and Advanced MRI Techniques and Applications (4 papers). Maja Sohlin is often cited by papers focused on Advanced Radiotherapy Techniques (5 papers), Medical Imaging Techniques and Applications (4 papers) and Advanced MRI Techniques and Applications (4 papers). Maja Sohlin collaborates with scholars based in Sweden, Germany and Italy. Maja Sohlin's co-authors include Maria Ljungberg, Marcus Ståhlman, Rosie Perkins, Per‐Anders Jansson, Fredrik Karlsson, Max Levin, Heléne Bertéus Forslund, Fredrik Bäckhed, Valentina Tremaroli and Reza Mobini and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.

In The Last Decade

Maja Sohlin

10 papers receiving 447 citations

Peers

Maja Sohlin

RNMI

PHYSI

RADIA

Shinya Sugiyama Japan

C. Evans United Kingdom

M. Schwartz Chile

Valerio Guarrasi Italy

Yi‐Lin Tsai Taiwan

S Aguadé Spain

Michael C. Cheney United States

Louise J. Michaelis United Kingdom

Atallah Baydoun United States

Thomai Stathopoulou Switzerland

Shinya Sugiyama Japan

Maja Sohlin

43 ×0.2

86 ×0.5

RNMI

71 ×0.5

PHYSI

41 ×0.3

RADIA

11 ×0.2

Citations per year, relative to Maja Sohlin Maja Sohlin (= 1×) peers Shinya Sugiyama

Countries citing papers authored by Maja Sohlin

Since Specialization

Citations

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

Fields of papers citing papers by Maja Sohlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Sohlin

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

All Works

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11 of 11 papers shown

Nordström, Fredrik, et al.. (2022). Head and neck cancer patient positioning using synthetic CT data in MRI‐only radiation therapy. Journal of Applied Clinical Medical Physics. 23(4). e13525–e13525. 9 indexed citations

Karlsson, Anna, Fredrik Nordström, Karin Petruson, et al.. (2021). Synthetic computed tomography data allows for accurate absorbed dose calculations in a magnetic resonance imaging only workflow for head and neck radiotherapy. Physics and Imaging in Radiation Oncology. 17. 36–42. 34 indexed citations

Rawshani, Aidin, Björn Eliasson, Araz Rawshani, et al.. (2020). Adipose tissue morphology, imaging and metabolomics predicting cardiometabolic risk and family history of type 2 diabetes in non-obese men. Scientific Reports. 10(1). 9973–9973. 21 indexed citations

Sohlin, Maja, et al.. (2018). [P269] Absorbed dose calculation based on CBCT data for head and neck cancer patients. Physica Medica. 52. 177–177.

Nyholm, Tufve, Stina Svensson, Joakim Jönsson, et al.. (2018). MR and CT data with multiobserver delineations of organs in the pelvic area—Part of the Gold Atlas project. Medical Physics. 45(3). 1295–1300. 62 indexed citations

Persson, Emilia, Christian Jamtheim Gustafsson, Fredrik Nordström, et al.. (2017). MR-OPERA: A Multicenter/Multivendor Validation of Magnetic Resonance Imaging–Only Prostate Treatment Planning Using Synthetic Computed Tomography Images. International Journal of Radiation Oncology*Biology*Physics. 99(3). 692–700. 73 indexed citations

Tedgren, Åsa Carlsson, Maja Sohlin, Kerstin Lagerstrand, Eva Forssell‐Aronsson, & Maria Ljungberg. (2017). The influence of cardiac triggering time and an optimization strategy for improved cardiac MR spectroscopy. Zeitschrift für Medizinische Physik. 27(4). 310–317. 2 indexed citations

Mobini, Reza, Valentina Tremaroli, Marcus Ståhlman, et al.. (2016). Metabolic effects of L actobacillus reuteri DSM 17938 in people with type 2 diabetes: A randomized controlled trial. Diabetes Obesity and Metabolism. 19(4). 579–589. 214 indexed citations

Pannetier, Nicolas, Maja Sohlin, Thomas Christen, Lothar R. Schad, & Norbert Schuff. (2013). Numerical modeling of susceptibility‐related MR signal dephasing with vessel size measurement: Phantom validation at 3T. Magnetic Resonance in Medicine. 72(3). 646–658. 13 indexed citations

10.

Sohlin, Maja & Lothar R. Schad. (2011). Susceptibility‐related MR signal dephasing under nonstatic conditions: Experimental verification and consequences for qBOLD measurements. Journal of Magnetic Resonance Imaging. 33(2). 417–425. 21 indexed citations

11.

Sohlin, Maja, et al.. (2006). Entwicklung eines Verfahrens zur numerischen Kalibrierung von Teilkörperzählern. KITopen. 7238. 1–150. 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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