Mazen Sudah

1.1k total citations
40 papers, 714 citations indexed

About

Mazen Sudah is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Mazen Sudah has authored 40 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Cancer Research and 18 papers in Pathology and Forensic Medicine. Recurrent topics in Mazen Sudah's work include MRI in cancer diagnosis (18 papers), Breast Cancer Treatment Studies (18 papers) and Breast Lesions and Carcinomas (18 papers). Mazen Sudah is often cited by papers focused on MRI in cancer diagnosis (18 papers), Breast Cancer Treatment Studies (18 papers) and Breast Lesions and Carcinomas (18 papers). Mazen Sudah collaborates with scholars based in Finland and Germany. Mazen Sudah's co-authors include Ritva Vanninen, Anna Sutela, Amro Masarwah, Suvi Rautiainen, Reijo Sironen, Vesa Kärjä, Martti Ala‐Opas, Kaarina Partanen, Sarianna Joukainen and Päivi Auvinen and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Mazen Sudah

37 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mazen Sudah Finland 16 321 228 186 159 120 40 714
Na Cheng China 9 134 0.4× 78 0.3× 53 0.3× 109 0.7× 143 1.2× 29 576
Linda Hovanessian‐Larsen United States 13 439 1.4× 224 1.0× 269 1.4× 208 1.3× 192 1.6× 36 845
Volker Duda Germany 11 185 0.6× 170 0.7× 260 1.4× 85 0.5× 107 0.9× 41 525
Zhaozhi Yang China 18 151 0.5× 397 1.7× 179 1.0× 273 1.7× 326 2.7× 57 986
Zhendong Chen China 17 194 0.6× 114 0.5× 138 0.7× 357 2.2× 521 4.3× 54 1.0k
Jafi A. Lipson United States 19 357 1.1× 388 1.7× 209 1.1× 290 1.8× 336 2.8× 43 974
Beatriu Reig United States 13 327 1.0× 131 0.6× 124 0.7× 74 0.5× 78 0.7× 31 579
Leila Dorling United Kingdom 12 146 0.5× 212 0.9× 69 0.4× 127 0.8× 204 1.7× 18 541
Linda Feeley Ireland 14 45 0.1× 163 0.7× 126 0.7× 71 0.4× 291 2.4× 38 670
Yasushi Iida Japan 12 69 0.2× 136 0.6× 63 0.3× 74 0.5× 148 1.2× 31 668

Countries citing papers authored by Mazen Sudah

Since Specialization
Citations

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

Fields of papers citing papers by Mazen Sudah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mazen Sudah

This figure shows the co-authorship network connecting the top 25 collaborators of Mazen Sudah. A scholar is included among the top collaborators of Mazen Sudah 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 Mazen Sudah. Mazen Sudah 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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Sudah, Mazen, Hidemi Okuma, Sarianna Joukainen, et al.. (2022). Diagnostic performance of tomosynthesis, digital mammography and a dedicated digital specimen radiography system versus pathological assessment of excised breast lesions. Radiology and Oncology. 56(4). 461–470. 2 indexed citations
4.
Behravan, Hamid, Mazen Sudah, Hidemi Okuma, et al.. (2022). Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning. Scientific Reports. 12(1). 12060–12060. 7 indexed citations
5.
Joukainen, Sarianna, et al.. (2022). Dual-Layer Rotation: A Versatile Therapeutic Mammoplasty Technique. Annals of Surgical Oncology. 29(11). 6716–6727. 2 indexed citations
6.
Okuma, Hidemi, Mazen Sudah, Päivi Auvinen, et al.. (2021). Quantitative Three-Dimensional Assessment of the Pharmacokinetic Parameters of Intra- and Peri-tumoural Tissues on Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Journal of Digital Imaging. 34(5). 1110–1119. 4 indexed citations
7.
Behravan, Hamid, Mazen Sudah, Hidemi Okuma, et al.. (2021). Multi-level dilated residual network for biomedical image segmentation. Scientific Reports. 11(1). 14105–14105. 26 indexed citations
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Masarwah, Amro, et al.. (2021). Diagnostic performance of the Kaiser score for characterizing lesions on breast MRI with comparison to a multiparametric classification system. European Journal of Radiology. 138. 109659–109659. 20 indexed citations
10.
Sudah, Mazen, et al.. (2020). The feasibility of ultrasound-guided vacuum-assisted evacuation of large breast hematomas. Radiology and Oncology. 54(3). 311–316. 5 indexed citations
11.
Masarwah, Amro, et al.. (2020). A multiparametric classification system for lesions detected by breast magnetic resonance imaging. European Journal of Radiology. 132. 109322–109322. 3 indexed citations
12.
Tiainen, Satu, Amro Masarwah, Sanna Oikari, et al.. (2019). Tumor microenvironment and breast cancer survival: combined effects of breast fat, M2 macrophages and hyaluronan create a dismal prognosis. Breast Cancer Research and Treatment. 179(3). 565–575. 34 indexed citations
13.
Arponen, Otso, Mazen Sudah, Anna Sutela, et al.. (2018). Gadoterate meglumine decreases ADC values of breast lesions depending on the b value combination. Scientific Reports. 8(1). 87–87. 7 indexed citations
14.
Masarwah, Amro, et al.. (2018). Galactography is not an obsolete investigation in the evaluation of pathological nipple discharge. PLoS ONE. 13(10). e0204326–e0204326. 10 indexed citations
15.
Joukainen, Sarianna, Amro Masarwah, Mervi Könönen, et al.. (2018). Feasibility of mapping breast cancer with supine breast MRI in patients scheduled for oncoplastic surgery. European Radiology. 29(3). 1435–1443. 18 indexed citations
16.
Masarwah, Amro, Päivi Auvinen, Mazen Sudah, et al.. (2015). Very low mammographic breast density predicts poorer outcome in patients with invasive breast cancer. European Radiology. 25(7). 1875–1882. 31 indexed citations
17.
Rautiainen, Suvi, Mervi Könönen, Reijo Sironen, et al.. (2015). Preoperative Axillary Staging with 3.0-T Breast MRI: Clinical Value of Diffusion Imaging and Apparent Diffusion Coefficient. PLoS ONE. 10(3). e0122516–e0122516. 13 indexed citations
18.
Rautiainen, Suvi, Amro Masarwah, Mazen Sudah, et al.. (2013). Axillary Lymph Node Biopsy in Newly Diagnosed Invasive Breast Cancer: Comparative Accuracy of Fine-Needle Aspiration Biopsy versus Core-Needle Biopsy. Radiology. 269(1). 54–60. 76 indexed citations
19.
Sutela, Anna, Ritva Vanninen, Mazen Sudah, et al.. (2007). Surgical specimen can be replaced by core samples in assessment of ER, PR and HER-2 for invasive breast cancer. Acta Oncologica. 47(1). 38–46. 38 indexed citations
20.
Sudah, Mazen, Ritva Vanninen, Kaarina Partanen, et al.. (2002). Patients with Acute Flank Pain: Comparison of MR Urography with Unenhanced Helical CT. Radiology. 223(1). 98–105. 48 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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