Ida Blystad

698 total citations
20 papers, 484 citations indexed

About

Ida Blystad is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ida Blystad has authored 20 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Genetics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ida Blystad's work include Advanced MRI Techniques and Applications (10 papers), MRI in cancer diagnosis (8 papers) and Glioma Diagnosis and Treatment (6 papers). Ida Blystad is often cited by papers focused on Advanced MRI Techniques and Applications (10 papers), MRI in cancer diagnosis (8 papers) and Glioma Diagnosis and Treatment (6 papers). Ida Blystad collaborates with scholars based in Sweden, United States and Denmark. Ida Blystad's co-authors include Peter Lundberg, Elna‐Marie Larsson, Örjan Smedby, Anders Tisell, J. B. M. Warntjes, Anne‐Marie Landtblom, Jan Ernerudh, Richard Levi, Janne West and Maria Engström and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ida Blystad

17 papers receiving 479 citations

Peers

Ida Blystad

RNMI

NEURO

PFM

GENET

NEURO

Aikaterini Fitsiori Switzerland

Stephen Dashnaw United States

Markand Patel United Kingdom

S. Chanalet France

Lars Gerigk Germany

Katalin Borbély Hungary

Barkovich Aj United States

Brigitte Holst Germany

Victoria Lupson United Kingdom

Diana L. Nikas United States

Aikaterini Fitsiori Switzerland

Ida Blystad

142 ×0.5

RNMI

191 ×2.0

NEURO

111 ×1.3

PFM

114 ×1.5

GENET

32 ×0.8

NEURO

Citations per year, relative to Ida Blystad Ida Blystad (= 1×) peers Aikaterini Fitsiori

Countries citing papers authored by Ida Blystad

Since Specialization

Citations

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

Fields of papers citing papers by Ida Blystad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ida Blystad

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

Nyman, Per Olof, Ida Blystad, Alia Shamikh, et al.. (2025). Pediatric brain tumor classification using digital pathology and deep learning: Evaluation of SOTA methods on a multi‐center Swedish cohort. Brain Pathology. 36(1). e70029–e70029.

Tisell, Anders, Ida Blystad, Martin Hallbeck, et al.. (2025). Quantitative MRI relaxometry in brain tumor needle biopsies: Multimodal comparison with tissue fluorescence, radiology, and neuropathology. PLoS ONE. 20(7). e0326765–e0326765.

Blystad, Ida, et al.. (2024). Pediatric brain tumor classification using deep learning on MR images with age fusion. Neuro-Oncology Advances. 7(1). vdae205–vdae205. 5 indexed citations

Akbar, Muhammad Usman, Måns Larsson, Ida Blystad, & Anders Eklund. (2024). Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models. Scientific Data. 11(1). 259–259. 20 indexed citations

Eklund, Anders, et al.. (2023). MRI with generalized diffusion encoding reveals damaged white matter in patients previously hospitalized for COVID-19 and with persisting symptoms at follow-up. Brain Communications. 5(6). fcad284–fcad284. 9 indexed citations

Blystad, Ida, et al.. (2023). Evaluation of inverse treatment planning for gamma knife radiosurgery using fMRI brain activation maps as organs at risk. Medical Physics. 50(9). 5297–5311.

Herberthson, Magnus, et al.. (2023). Diffusivity-limited q-space trajectory imaging. SHILAP Revista de lepidopterología. 3(2). 187–196. 1 indexed citations

Blystad, Ida, et al.. (2023). Radiation-dependent demyelination in normal appearing white matter in glioma patients, determined using quantitative magnetic resonance imaging. Physics and Imaging in Radiation Oncology. 27. 100451–100451. 4 indexed citations

Haj‐Hosseini, Neda, et al.. (2023). Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images. Machine Learning Science and Technology. 4(3). 35038–35038. 2 indexed citations

10.

Thornberg, Ulrika Birberg, et al.. (2021). Brain MRI and neuropsychological findings at long-term follow-up after COVID-19 hospitalisation: an observational cohort study. BMJ Open. 11(10). e055164–e055164. 59 indexed citations

11.

Blystad, Ida, Peter Milos, Annika Malmström, et al.. (2021). Initial cognitive impairment predicts shorter survival of patients with glioblastoma. Acta Neurologica Scandinavica. 145(1). 94–101. 8 indexed citations

12.

Blystad, Ida, et al.. (2020). Indication of Thalamo-Cortical Circuit Dysfunction in Idiopathic Normal Pressure Hydrocephalus: A Diffusion Tensor Imaging Study. Scientific Reports. 10(1). 6148–6148. 9 indexed citations

13.

Blystad, Ida, J. B. M. Warntjes, Örjan Smedby, et al.. (2020). Quantitative MRI using relaxometry in malignant gliomas detects contrast enhancement in peritumoral oedema. Scientific Reports. 10(1). 17986–17986. 32 indexed citations

14.

Warntjes, J. B. M., Ida Blystad, Anders Tisell, & Elna‐Marie Larsson. (2018). Synthesizing a Contrast-Enhancement Map in Patients with High-Grade Gliomas Based on a Postcontrast MR Imaging Quantification Only. American Journal of Neuroradiology. 39(12). 2194–2199. 6 indexed citations

15.

Blystad, Ida, J. B. M. Warntjes, Örjan Smedby, et al.. (2017). Quantitative MRI for analysis of peritumoral edema in malignant gliomas. PLoS ONE. 12(5). e0177135–e0177135. 71 indexed citations

16.

Mellergård, Johan, Anders Tisell, Ida Blystad, et al.. (2016). Cerebrospinal fluid levels of neurofilament and tau correlate with brain atrophy in natalizumab‐treated multiple sclerosis. European Journal of Neurology. 24(1). 112–121. 36 indexed citations

17.

Blystad, Ida, Anders Tisell, Jan Ernerudh, et al.. (2015). Quantitative MRI for Analysis of Active Multiple Sclerosis Lesions without Gadolinium-Based Contrast Agent. American Journal of Neuroradiology. 37(1). 94–100. 53 indexed citations

18.

West, Janne, Ida Blystad, Maria Engström, J. B. M. Warntjes, & Peter Lundberg. (2013). Application of Quantitative MRI for Brain Tissue Segmentation at 1.5 T and 3.0 T Field Strengths. PLoS ONE. 8(9). e74795–e74795. 48 indexed citations

19.

Mellergård, Johan, Anders Tisell, Olof Dahlqvist Leinhard, et al.. (2012). Association between Change in Normal Appearing White Matter Metabolites and Intrathecal Inflammation in Natalizumab-Treated Multiple Sclerosis. PLoS ONE. 7(9). e44739–e44739. 17 indexed citations

20.

Blystad, Ida, et al.. (2012). Synthetic Mri of the Brain in a Clinical Setting. Acta Radiologica. 53(10). 1158–1163. 104 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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