May Sadik

914 total citations
21 papers, 553 citations indexed

About

May Sadik is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, May Sadik has authored 21 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in May Sadik's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (11 papers) and Bone health and treatments (6 papers). May Sadik is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (11 papers) and Bone health and treatments (6 papers). May Sadik collaborates with scholars based in Sweden, Denmark and India. May Sadik's co-authors include Lars Edenbrandt, Madis Suurküla, Peter Höglund, Mattias Ohlsson, Elin Trägårdh, Olof Enqvist, Reza Kaboteh, Johannes Ulén, Poul Flemming Høilund‐Carlsen and Jane Angel Simonsen and has published in prestigious journals such as Scientific Reports, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

May Sadik

20 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
May Sadik Sweden 10 407 283 149 148 65 21 553
Reza Kaboteh Sweden 13 363 0.9× 317 1.1× 103 0.7× 175 1.2× 33 0.5× 22 529
Chuanmiao Xie China 5 521 1.3× 173 0.6× 294 2.0× 112 0.8× 73 1.1× 11 584
Mi Huang United States 10 403 1.0× 195 0.7× 119 0.8× 84 0.6× 61 0.9× 10 505
M Jermoumi United States 4 586 1.4× 241 0.9× 228 1.5× 99 0.7× 115 1.8× 9 668
Johannes Ulén Sweden 13 330 0.8× 183 0.6× 127 0.9× 24 0.2× 51 0.8× 29 467
Shonket Ray United States 7 278 0.7× 201 0.7× 93 0.6× 37 0.3× 138 2.1× 14 373
Avice M. O’Connell United States 15 610 1.5× 461 1.6× 243 1.6× 51 0.3× 167 2.6× 42 759
Yini Huang China 10 493 1.2× 107 0.4× 131 0.9× 67 0.5× 266 4.1× 23 665
Ronald L. Perrin United States 7 448 1.1× 540 1.9× 108 0.7× 178 1.2× 477 7.3× 10 703
Manon Beuque Netherlands 5 396 1.0× 136 0.5× 128 0.9× 74 0.5× 102 1.6× 11 469

Countries citing papers authored by May Sadik

Since Specialization
Citations

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

Fields of papers citing papers by May Sadik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of May Sadik

This figure shows the co-authorship network connecting the top 25 collaborators of May Sadik. A scholar is included among the top collaborators of May Sadik 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 May Sadik. May Sadik 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
1.
Trägårdh, Elin, Måns Larsson, Olof Enqvist, et al.. (2025). Inter-reader agreement of quantitative FDG PET/CT biomarkers in lymphoma: a multicentre evaluation of MTV, TLG and Dmax. BMC Medical Imaging. 25(1). 368–368.
2.
Sadik, May, Sally F. Barrington, Elin Trägårdh, et al.. (2023). Metabolic tumour volume in Hodgkin lymphoma—A comparison between manual and AI‐based analysis. Clinical Physiology and Functional Imaging. 44(3). 220–227. 5 indexed citations
3.
Sadik, May, Johannes Ulén, Olof Enqvist, et al.. (2022). Artificial Intelligence Increases the Agreement among Physicians Classifying Focal Skeleton/Bone Marrow Uptake in Hodgkin’s Lymphoma Patients Staged with [18F]FDG PET/CT—a Retrospective Study. Nuclear Medicine and Molecular Imaging. 57(2). 110–116. 4 indexed citations
4.
Sadik, May, Johannes Ulén, Olof Enqvist, et al.. (2021). Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin’s lymphoma patients staged with FDG-PET/CT. Scientific Reports. 11(1). 10382–10382. 12 indexed citations
5.
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
6.
Sadik, May, Reza Kaboteh, Olof Enqvist, et al.. (2019). Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases. European Journal of Radiology. 113. 89–95. 93 indexed citations
7.
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
8.
9.
10.
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
11.
Sadik, May, Reza Kaboteh, Olof Enqvist, et al.. (2017). 3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer. EJNMMI Research. 7(1). 15–15. 25 indexed citations
12.
Anand, Aseem, Michael J. Morris, Reza Kaboteh, et al.. (2015). Analytic Validation of the Automated Bone Scan Index as an Imaging Biomarker to Standardize Quantitative Changes in Bone Scans of Patients with Metastatic Prostate Cancer. Journal of Nuclear Medicine. 57(1). 41–45. 37 indexed citations
13.
Sadik, May, et al.. (2014). Analysis of regional bone scan index measurements for the survival of patients with prostate cancer. BMC Medical Imaging. 14(1). 24–24. 9 indexed citations
14.
Sadik, May, et al.. (2010). Relation between pain and skeletal metastasis in patients with prostate or breast cancer. Clinical Physiology and Functional Imaging. 31(3). 193–195. 9 indexed citations
15.
16.
Sadik, May. (2009). Computer-Assisted Diagnosis for the Interpretation of Bone Scintigraphy A new approach to improve diagnostic accuracy. Gothenburg University Publications Electronic Archive (Gothenburg University). 5 indexed citations
17.
Sadik, May, et al.. (2008). Computer-Assisted Interpretation of Planar Whole-Body Bone Scans. Journal of Nuclear Medicine. 49(12). 1958–1965. 102 indexed citations
18.
Sadik, May, et al.. (2008). Quality of planar whole-body bone scan interpretations—a nationwide survey. European Journal of Nuclear Medicine and Molecular Imaging. 35(8). 1464–1472. 72 indexed citations
19.
Sadik, May, et al.. (2006). A new computer-based decision-support system for the interpretation of bone scans. Nuclear Medicine Communications. 27(5). 417–423. 55 indexed citations
20.
Sadik, May, Bengt Rundqvist, Nedim Selimović, & Odd Bech‐Hanssen. (2004). Improved stroke volume assessment in the aortic and mitral valves with a new method in subjects without regurgitation. European Journal of Echocardiography. 6(3). 210–218. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Reza Kaboteh Breakdown of academic impact, for papers by Chuanmiao Xie Breakdown of academic impact, for papers by Mi Huang Breakdown of academic impact, for papers by M Jermoumi Breakdown of academic impact, for papers by Johannes Ulén Breakdown of academic impact, for papers by Shonket Ray Breakdown of academic impact, for papers by Avice M. O’Connell Breakdown of academic impact, for papers by Yini Huang Breakdown of academic impact, for papers by Ronald L. Perrin Breakdown of academic impact, for papers by Manon Beuque
Rankless by CCL
2026