Elin Trägårdh

2.1k total citations
103 papers, 1.1k citations indexed

About

Elin Trägårdh is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Elin Trägårdh has authored 103 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Pulmonary and Respiratory Medicine and 20 papers in Biomedical Engineering. Recurrent topics in Elin Trägårdh's work include Medical Imaging Techniques and Applications (31 papers), Radiomics and Machine Learning in Medical Imaging (29 papers) and Prostate Cancer Treatment and Research (29 papers). Elin Trägårdh is often cited by papers focused on Medical Imaging Techniques and Applications (31 papers), Radiomics and Machine Learning in Medical Imaging (29 papers) and Prostate Cancer Treatment and Research (29 papers). Elin Trägårdh collaborates with scholars based in Sweden, Denmark and United States. Elin Trägårdh's co-authors include Lars Edenbrandt, Olof Enqvist, Johannes Ulén, David Minarik, Reza Kaboteh, Pablo Borrelli, Olle Pahlm, Anders Bjartell, May Sadik and Galen S. Wagner and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Elin Trägårdh

93 papers receiving 1.1k citations

Peers

Elin Trägårdh
Daniel Moses Australia
Susanne Wienbeck Germany
Shotaro Kanao Japan
Sonia Skamene Canada
Hanns‐Christian Breit Switzerland
Abdel Tahari United States
Emanuele Voulaz Italy
Yasunori Nagayama Japan
Maurice Pradella Switzerland
Aydın Demircioğlu Germany
Daniel Moses Australia
Elin Trägårdh
Citations per year, relative to Elin Trägårdh Elin Trägårdh (= 1×) peers Daniel Moses

Countries citing papers authored by Elin Trägårdh

Since Specialization
Citations

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

Fields of papers citing papers by Elin Trägårdh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elin Trägårdh

This figure shows the co-authorship network connecting the top 25 collaborators of Elin Trägårdh. A scholar is included among the top collaborators of Elin Trägårdh 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 Elin Trägårdh. Elin Trägårdh 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
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Ulén, Johannes, et al.. (2025). AI based automatic measurement of split renal function in [18F]PSMA-1007 PET/CT. PubMed. 9(1). 20–20. 1 indexed citations
3.
Ying, Thomas, Pablo Borrelli, Lars Edenbrandt, et al.. (2024). AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans. SHILAP Revista de lepidopterología. 10(2). 78–83. 1 indexed citations
4.
Minarik, David, et al.. (2024). High concordance of PET‐CT treatment response evaluation according to PERCIST 1.0 when comparing images reconstructed with OSEM vs. BSREM. Clinical Physiology and Functional Imaging. 45(1). e12907–e12907.
5.
Sartor, Hanna, et al.. (2023). Metabolic parameters of [18F]FDG PET-CT before and after radiotherapy may predict survival and recurrence in cervical cancer. Acta Oncologica. 62(2). 180–188. 4 indexed citations
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Minarik, David, et al.. (2023). First clinical experience of a ring‐configured cadmium zinc telluride camera: A comparative study versus conventional gamma camera systems. Clinical Physiology and Functional Imaging. 44(1). 79–88. 6 indexed citations
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Minarik, David, et al.. (2023). [18F]PSMA-1007 PET is comparable to [99mTc]Tc-DMSA SPECT for renal cortical imaging. SHILAP Revista de lepidopterología. 7(1). 25–25. 5 indexed citations
8.
Trägårdh, Elin, et al.. (2022). Relationship between somatostatin receptor expressing tumour volume and health‐related quality of life in patients with metastatic GEP‐NET. Journal of Neuroendocrinology. 34(6). e13139–e13139. 3 indexed citations
9.
Jögi, Jonas, et al.. (2022). [18F]PSMA‐1007 renal uptake parameters: Reproducibility and relationship to estimated glomerular filtration rate. Clinical Physiology and Functional Imaging. 43(2). 128–135. 6 indexed citations
10.
Oddstig, Jenny, Sophia Zackrisson, Henrik Kjölhede, et al.. (2022). Detection of lymph node metastases in patients with prostate cancer: Comparing conventional and digital [18F]‐fluorocholine PET‐CT using histopathology as a reference. Clinical Physiology and Functional Imaging. 42(6). 381–388. 4 indexed citations
11.
Minarik, David, et al.. (2022). Biokinetics and dosimetry of 18F‐PSMA‐1007 in patients with prostate cancer. Clinical Physiology and Functional Imaging. 42(6). 443–452. 6 indexed citations
12.
Trägårdh, Elin, Olof Enqvist, Johannes Ulén, et al.. (2022). Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT. Diagnostics. 12(9). 2101–2101. 24 indexed citations
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Borrelli, Pablo, Mads Hvid Poulsen, Oke Gerke, et al.. (2019). Artificial intelligence‐based versus manual assessment of prostate cancer in the prostate gland: a method comparison study. Clinical Physiology and Functional Imaging. 39(6). 399–406. 23 indexed citations
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Sadik, May, Reza Kaboteh, Pablo Borrelli, et al.. (2019). Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival. Clinical Physiology and Functional Imaging. 40(2). 106–113. 30 indexed citations
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Borrelli, Pablo, Olof Enqvist, Johannes Ulén, et al.. (2018). Artificial Intelligence Based Method for Automated PET/CT Measurements of Prostate Gland Volume and Choline Uptake. University of Southern Denmark Research Portal (University of Southern Denmark). 1 indexed citations
19.
Kaboteh, Reza, et al.. (2018). Evaluation of changes in Bone Scan Index at different acquisition time‐points in bone scintigraphy. Clinical Physiology and Functional Imaging. 38(6). 1015–1020. 3 indexed citations
20.
Sadik, May, Reza Kaboteh, Olof Enqvist, et al.. (2017). Automated 3D segmentation of the prostate gland in CT images - a first step towards objective measurements of prostate uptake in PET and SPECT images. University of Southern Denmark Research Portal (University of Southern Denmark). 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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