Çiğdem Soydal

1.3k total citations
98 papers, 730 citations indexed

About

Çiğdem Soydal is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Çiğdem Soydal has authored 98 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Radiology, Nuclear Medicine and Imaging, 39 papers in Pulmonary and Respiratory Medicine and 26 papers in Surgery. Recurrent topics in Çiğdem Soydal's work include Radiomics and Machine Learning in Medical Imaging (20 papers), Radiopharmaceutical Chemistry and Applications (17 papers) and Hepatocellular Carcinoma Treatment and Prognosis (17 papers). Çiğdem Soydal is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Radiopharmaceutical Chemistry and Applications (17 papers) and Hepatocellular Carcinoma Treatment and Prognosis (17 papers). Çiğdem Soydal collaborates with scholars based in Türkiye, United States and Denmark. Çiğdem Soydal's co-authors include Elgin Özkan, Mine Araz, Sadık Bilgiç, Erkan İbiş, Metin Kır, Ömer Küçük, Gülseren Araş, Finn Edler von Eyben, Ramazan Idılman and Irene Virgolini and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Oncotarget.

In The Last Decade

Çiğdem Soydal

81 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Çiğdem Soydal Türkiye 16 305 293 240 197 154 98 730
Roberto Cianni Italy 19 286 0.9× 270 0.9× 216 0.9× 476 2.4× 335 2.2× 49 1.1k
Ken Herrmann Germany 10 287 0.9× 211 0.7× 144 0.6× 78 0.4× 58 0.4× 61 562
Fabrice Gutman France 10 391 1.3× 231 0.8× 233 1.0× 102 0.5× 138 0.9× 20 716
İşık Adalet Türkiye 15 145 0.5× 165 0.6× 221 0.9× 303 1.5× 75 0.5× 40 714
Angela M. Riddell United Kingdom 19 481 1.6× 255 0.9× 167 0.7× 250 1.3× 135 0.9× 50 1.0k
F. Polistina Italy 15 70 0.2× 229 0.8× 312 1.3× 299 1.5× 99 0.6× 28 697
Theo J. Klinkenberg Netherlands 12 90 0.3× 297 1.0× 142 0.6× 215 1.1× 51 0.3× 46 899
M.A. Neben-Wittich United States 13 124 0.4× 252 0.9× 284 1.2× 229 1.2× 18 0.1× 59 769
H Nakamura Japan 11 174 0.6× 164 0.6× 80 0.3× 173 0.9× 509 3.3× 38 804
Ulrike Garske Sweden 13 296 1.0× 137 0.5× 442 1.8× 195 1.0× 21 0.1× 21 902

Countries citing papers authored by Çiğdem Soydal

Since Specialization
Citations

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

Fields of papers citing papers by Çiğdem Soydal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Çiğdem Soydal

This figure shows the co-authorship network connecting the top 25 collaborators of Çiğdem Soydal. A scholar is included among the top collaborators of Çiğdem Soydal 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 Çiğdem Soydal. Çiğdem Soydal 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.
Özkan, Elgin, et al.. (2025). Prediction of [177Lu]Lu-PSMA-617 treatment response with [68Ga]Ga-PSMA-11 PET-derived variables and correlation of the overall survival with serum PSA and PSMA PET-based response criteria. Revista Española de Medicina Nuclear e Imagen Molecular (English Edition). 45(2). 500208–500208.
2.
Hoffmann, Manuela A., Çiğdem Soydal, Irene Virgolini, et al.. (2025). Management Based on Pretreatment PSMA PET of Patients with Localized High-Risk Prostate Cancer Part 2: Prediction of Recurrence—A Systematic Review and Meta-Analysis. Cancers. 17(5). 841–841. 1 indexed citations
3.
Soydal, Çiğdem, et al.. (2024). PET/MR Imaging in Gynecological Malignancies. 10(3). 344–352.
4.
Küçük, Ömer, et al.. (2024). PET/MR Imaging in Liver Tumors. 10(3). 313–321.
5.
Soydal, Çiğdem, et al.. (2023). Comparison of <sup>68</sup>Ga-PSMA PET/CT and <sup>18</sup>F-PSMA PET/CT of a Patient with Prostate Cancer Recurrence on Urinary Bladder Wall. Molecular Imaging and Radionuclide Therapy. 32(2). 150–152. 1 indexed citations
6.
Araz, Mine, et al.. (2023). The Role of <sup>18</sup>F-FDOPA PET/CT in Recurrent Medullary Thyroid Cancer Patients with Elevated Serum Calcitonin Levels. Molecular Imaging and Radionuclide Therapy. 32(1). 1–7. 3 indexed citations
7.
Schaefer, Niklaus, Gerd Grözinger, Maciej Pech, et al.. (2022). Prognostic Factors for Effectiveness Outcomes After Transarterial Radioembolization in Metastatic Colorectal Cancer: Results From the Multicentre Observational Study CIRT. Clinical Colorectal Cancer. 21(4). 285–296. 7 indexed citations
8.
Araz, Mine, et al.. (2022). Can Radiomics Analyses in <sup>18</sup>F-FDG PET/CT Images of Primary Breast Carcinoma Predict Hormone Receptor Status?. Molecular Imaging and Radionuclide Therapy. 31(1). 49–56. 8 indexed citations
9.
Soydal, Çiğdem, Mine Araz, Elgin Özkan, et al.. (2022). Elevated Angiogenic Factor Levels After Transarterial Radioembolization for Colorectal Cancer Liver Metastases May Predict a Poor Prognosis. Molecular Imaging and Radionuclide Therapy. 31(2). 114–122. 2 indexed citations
10.
Araz, Mine, et al.. (2021). Detectability of 18F-choline PET/MR in primary hyperparathyroidism. European Archives of Oto-Rhino-Laryngology. 279(5). 2583–2589. 7 indexed citations
11.
12.
Soydal, Çiğdem, et al.. (2020). Intense <sup>18</sup>F-Flourodeoxyglucose Uptake in Brachial Plexus of Patients with Brachial Plexopathy. Molecular Imaging and Radionuclide Therapy. 29(2). 79–81. 2 indexed citations
13.
Bozkurt, Murat Fani, et al.. (2020). Procedur Guideline for Lymphoscintigraphy and Sentinel Lymph Node in Breast Cancer. 6(3). 321–338. 1 indexed citations
14.
Soydal, Çiğdem, et al.. (2019). Risk Factors for Predicting Osteoporosis in Patients Who Receive Thyrotropin Suppressive Levothyroxine Treatment for Differentiated Thyroid Carcinoma. Molecular Imaging and Radionuclide Therapy. 28(2). 69–75. 2 indexed citations
15.
Araz, Mine, et al.. (2019). An uncommon presentation of diffuse large B cell lymphoma with multiple peripheral nerve involvement demonstrated BY 18F-FDG PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 47(1). 218–219. 1 indexed citations
16.
Araz, Mine, Çiğdem Soydal, Elgin Özkan, et al.. (2018). The efficacy of fluorine-18-choline PET/CT in comparison with 99mTc-MIBI SPECT/CT in the localization of a hyperfunctioning parathyroid gland in primary hyperparathyroidism. Nuclear Medicine Communications. 39(11). 989–994. 34 indexed citations
17.
Soydal, Çiğdem, et al.. (2016). Prognostic Importance of Bone Marrow Uptake on Baseline 18 F-FDG Positron Emission Tomography in Diffuse Large B Cell Lymphoma. Cancer Biotherapy and Radiopharmaceuticals. 31(10). 361–365. 7 indexed citations
18.
19.
Soydal, Çiğdem, et al.. (2011). Selective intraarterial radionuclide therapy with Yttrium-90 (Y-90) microspheres for unresectable primary and metastatic liver tumors. World Journal of Surgical Oncology. 9(1). 86–86. 31 indexed citations
20.
Ersoy, Reyhan, Kamile Gül, İhsan Solaroğlu, et al.. (2008). Effect of a six-month treatment with octreotide long acting repeatable (LAR) on mean platelet volume in patients with acromegaly. 16(3). 1143–52. 2 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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