David Minarik

1.4k total citations
44 papers, 696 citations indexed

About

David Minarik is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, David Minarik has authored 44 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Pulmonary and Respiratory Medicine and 10 papers in Radiation. Recurrent topics in David Minarik's work include Medical Imaging Techniques and Applications (24 papers), Prostate Cancer Treatment and Research (13 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). David Minarik is often cited by papers focused on Medical Imaging Techniques and Applications (24 papers), Prostate Cancer Treatment and Research (13 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). David Minarik collaborates with scholars based in Sweden, United States and Denmark. David Minarik's co-authors include Michael Ljungberg, Katarina Sjögreen Gleisner, Elin Trägårdh, Lars Edenbrandt, Sigrid Leide-Svegborn, Martin Andersson, Olof Enqvist, Jenny Oddstig, Sören Mattsson and Lennart Johansson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics in Medicine and Biology and Journal of Nuclear Medicine.

In The Last Decade

David Minarik

41 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Minarik Sweden 17 604 246 187 122 83 44 696
M. D’Andrea Italy 15 303 0.5× 314 1.3× 374 2.0× 57 0.5× 44 0.5× 42 646
Shahreen Ahmad United Kingdom 8 525 0.9× 302 1.2× 170 0.9× 121 1.0× 89 1.1× 14 638
Qianyi Xu United States 13 245 0.4× 293 1.2× 380 2.0× 65 0.5× 63 0.8× 43 553
Stefanie Ehrbar Switzerland 15 355 0.6× 299 1.2× 401 2.1× 73 0.6× 53 0.6× 38 559
L. Jahnke Germany 10 266 0.4× 294 1.2× 420 2.2× 76 0.6× 36 0.4× 26 499
Manuel Sánchez-García Spain 13 303 0.5× 251 1.0× 192 1.0× 43 0.4× 45 0.5× 41 587
Stine Kramer Denmark 9 173 0.3× 207 0.8× 87 0.5× 47 0.4× 59 0.7× 19 429
Jens Fleckenstein Germany 15 475 0.8× 494 2.0× 676 3.6× 169 1.4× 41 0.5× 56 842
Alanah Bergman Canada 14 429 0.7× 323 1.3× 471 2.5× 105 0.9× 64 0.8× 50 661
Gerhard Kohl Germany 11 568 0.9× 478 1.9× 62 0.3× 79 0.6× 45 0.5× 15 692

Countries citing papers authored by David Minarik

Since Specialization
Citations

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

Fields of papers citing papers by David Minarik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Minarik

This figure shows the co-authorship network connecting the top 25 collaborators of David Minarik. A scholar is included among the top collaborators of David Minarik 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 David Minarik. David Minarik 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.
Trägårdh, Elin, Johannes Ulén, Olof Enqvist, et al.. (2025). A fully automated AI-based method for tumour detection and quantification on [18F]PSMA-1007 PET–CT images in prostate cancer. EJNMMI Physics. 12(1). 78–78.
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.
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
6.
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
7.
Bitzèn, Ulrika, et al.. (2023). PET/CT imaging 2 h after injection of [18F]PSMA-1007 can lead to higher staging of prostate cancer than imaging after 1 h. SHILAP Revista de lepidopterología. 7(1). 9–9. 6 indexed citations
8.
Frantz, Sophia, David Minarik, Olof Enqvist, et al.. (2023). Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging. Seminars in Nuclear Medicine. 54(1). 141–149. 21 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.
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
11.
Jögi, Jonas, et al.. (2021). Dose-reduced [18F]PSMA-1007 PET is feasible for functional imaging of the renal cortex. EJNMMI Physics. 8(1). 70–70. 4 indexed citations
12.
Trägårdh, Elin, et al.. (2020). Optimization of [18F]PSMA-1007 PET-CT using regularized reconstruction in patients with prostate cancer. EJNMMI Physics. 7(1). 31–31. 17 indexed citations
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Oddstig, Jenny, Helén Almquist, Ulrika Bitzèn, et al.. (2019). Comparison of conventional and Si-photomultiplier-based PET systems for image quality and diagnostic performance. BMC Medical Imaging. 19(1). 81–81. 14 indexed citations
16.
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
17.
Andersson, Martin, David Minarik, Lennart Johansson, Sören Mattsson, & Sigrid Leide-Svegborn. (2014). Improved estimates of the radiation absorbed dose to the urinary bladder wall. Physics in Medicine and Biology. 59(9). 2173–2182. 10 indexed citations
18.
Andersson, Martin, et al.. (2012). An upgrade of the internal dosimetry computer program IDAC. Lund University Publications (Lund University). 3 indexed citations
19.
Minarik, David, Katarina Sjögreen Gleisner, & Michael Ljungberg. (2005). A New Method to Obtain Transmission Images for Planar Whole-Body Activity Quantification. Cancer Biotherapy and Radiopharmaceuticals. 20(1). 72–76. 16 indexed citations
20.
Gleisner, Katarina Sjögreen, Michael Ljungberg, Karin Wingårdh, David Minarik, & Sven‐Erik Strand. (2005). The LundADose Method for Planar Image Activity Quantification and Absorbed-Dose Assessment in Radionuclide Therapy. Cancer Biotherapy and Radiopharmaceuticals. 20(1). 92–97. 29 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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