May Sadik
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiopharmaceutical Chemistry and Applications
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 12
- Medical Imaging Techniques and Applications 11
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- Prostate Cancer Treatment and Research 5
- Prostate Cancer Diagnosis and Treatment 5
- Co-authors
- Lars Edenbrandt (14 shared papers)Madis Suurküla (5 shared papers)Peter Höglund (3 shared papers)Mattias Ohlsson (6 shared papers)Elin Trägårdh (11 shared papers)Olof Enqvist (8 shared papers)Reza Kaboteh (8 shared papers)Johannes Ulén (5 shared papers)
In The Last Decade
May Sadik
20 papers receiving 541 citations
Peers
Comparison fields: 5 of 54
- Radiology, Nuclear Medicine and Imaging 407
- Health Informatics 15
- Pulmonary and Respiratory Medicine 283
- Oral Surgery 43
- Oncology 148
Countries citing papers authored by May Sadik
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
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-authors
The 25 scholars most cited alongside May Sadik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 102 | |
| 2 | 2019 | 93 | |
| 3 | 2008 | 72 | |
| 4 | 2009 | 65 | |
| 5 | 2006 | 55 | |
| 6 | 2015 | 37 | |
| 7 | 2019 | 30 | |
| 8 | 2017 | 25 | |
| 9 | 2018 | 18 | |
| 10 | 2021 | 12 | |
| 11 | 2014 | 9 | |
| 12 | 2010 | 9 | |
| 13 | 2023 | 5 | |
| 14 | Computer-Assisted Diagnosis for the Interpretation of Bone Scintigraphy A new approach to improve diagnostic accuracy | 2009 | 5 |
| 15 | 2022 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2004 | 3 | |
| 18 | 2009 | 3 | |
| 19 | 2018 | 2 | |
| 20 | Automated 3D segmentation of the prostate gland in CT images - a first step towards objective measurements of prostate uptake in PET and SPECT images | 2017 | 1 |
About May Sadik
May Sadik is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence and Biomedical Engineering, having authored 21 papers that have together received 553 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (11 papers), Bone health and treatments (6 papers), Prostate Cancer Treatment and Research (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers), AI in cancer detection (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (407 citations), Health Informatics (15 citations), Pulmonary and Respiratory Medicine (283 citations), Oral Surgery (43 citations) and Oncology (148 citations). May Sadik has collaborated with scholars based in Sweden, Denmark and India. Frequent co-authors include Lars Edenbrandt, Madis Suurküla, Peter Höglund, Mattias Ohlsson, Elin Trägårdh, Olof Enqvist, Reza Kaboteh, Johannes Ulén, Mads Hvid Poulsen and Jane Angel Simonsen. Their work appears in journals such as Clinical Physiology and Functional Imaging, Journal of Nuclear Medicine, European Journal of Radiology, European Journal of Nuclear Medicine and Molecular Imaging and Scientific Reports.
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.