Sait Sağer

1.0k total citations
90 papers, 688 citations indexed

About

Sait Sağer is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Sait Sağer has authored 90 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 32 papers in Pulmonary and Respiratory Medicine and 25 papers in Surgery. Recurrent topics in Sait Sağer's work include Thyroid Cancer Diagnosis and Treatment (21 papers), Medical Imaging Techniques and Applications (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Sait Sağer is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (21 papers), Medical Imaging Techniques and Applications (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Sait Sağer collaborates with scholars based in Türkiye, Germany and United States. Sait Sağer's co-authors include Metin Halaç, Kerim Sönmezoğlu, Lebriz Uslu, Ertan Şahin, İlhami Uslu, Haluk Sayman, Levent Kabasakal, Nurhan Ergül, Bedii Kanmaz and Meltem Ocak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medical Physics and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Sait Sağer

83 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sait Sağer Türkiye 13 237 218 179 161 121 90 688
G. Bonardel France 14 209 0.9× 255 1.2× 170 0.9× 158 1.0× 165 1.4× 61 717
Carmelo Caldarella Italy 16 189 0.8× 354 1.6× 299 1.7× 170 1.1× 85 0.7× 55 773
Anne Lerberg Nielsen Denmark 15 379 1.6× 173 0.8× 256 1.4× 173 1.1× 56 0.5× 46 957
Giovanni Bosio Italy 20 398 1.7× 199 0.9× 295 1.6× 209 1.3× 138 1.1× 53 994
Nicola Maggialetti Italy 17 324 1.4× 232 1.1× 139 0.8× 101 0.6× 54 0.4× 70 773
Metin Halaç Türkiye 16 399 1.7× 320 1.5× 398 2.2× 189 1.2× 52 0.4× 84 1.0k
Kanhaiyalal Agrawal India 14 199 0.8× 199 0.9× 269 1.5× 188 1.2× 80 0.7× 107 959
Guillermo Sangster United States 13 77 0.3× 297 1.4× 186 1.0× 113 0.7× 41 0.3× 58 559
Vera Artiko Serbia 14 145 0.6× 227 1.0× 249 1.4× 102 0.6× 32 0.3× 80 641
Davide Bova Italy 17 170 0.7× 341 1.6× 312 1.7× 214 1.3× 41 0.3× 60 903

Countries citing papers authored by Sait Sağer

Since Specialization
Citations

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

Fields of papers citing papers by Sait Sağer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sait Sağer

This figure shows the co-authorship network connecting the top 25 collaborators of Sait Sağer. A scholar is included among the top collaborators of Sait Sağer 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 Sait Sağer. Sait Sağer 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.
Meral, Rasimcan, et al.. (2024). RAI therapy in low-risk papillary thyroid cancer: recurrence reduction and long-term outcomes in the Turkish population. BMC Cancer. 24(1). 1273–1273. 1 indexed citations
2.
Sağer, Sait, et al.. (2024). PET/MRI in Colorectal Cancers. 10(3). 322–328.
3.
Uslu, Lebriz, et al.. (2023). <sup>18</sup>F-FDG PET/MRI Image of Skin Metastasis of Ovarian Cancer. Molecular Imaging and Radionuclide Therapy. 32(2). 159–161.
4.
Schenke, Simone, Alfredo Campennì, Murat Tuncel, et al.. (2022). Diagnostic Performance of 99mTc-Methoxy-Isobuty-Isonitrile (MIBI) for Risk Stratification of Hypofunctioning Thyroid Nodules: A European Multicenter Study. Diagnostics. 12(6). 1358–1358. 5 indexed citations
5.
6.
7.
Uslu, Lebriz, et al.. (2017). Orbital flourine-18-fluorodeoxyglucose positron emission tomography in patients with Graves’ disease for evaluation of active inflammation. Nuclear Medicine Communications. 38(11). 964–970. 5 indexed citations
8.
Sağer, Sait, Ezgi Başak Erdoğan, Serkan Teksöz, et al.. (2015). Comparison of F-18 FDG-PET/CT and Tc-99m MIBI in the preoperative evaluation of cold thyroid nodules in the same patient group. Endocrine. 50(1). 138–145. 8 indexed citations
9.
Sağer, Sait, et al.. (2014). Comparison of Tc-99m pertechnetate images with dual-phase Tc 99m MIBI and SPECT images in primary hyperparathyroidism. Indian Journal of Endocrinology and Metabolism. 18(4). 531–536. 2 indexed citations
10.
Sağer, Sait, et al.. (2014). Bilateral trigeminal nerve recurrence of non-hodgkin lymphoma revealed with FDG PET/CT. Indian Journal of Nuclear Medicine. 29(1). 50–50. 2 indexed citations
11.
Sağer, Sait, Mehmet Birhan Yılmaz, Lebriz Uslu, et al.. (2014). Prognostic significance and predictive performance of volume-based parameters of F-18 FDG PET/CT in squamous cell head and neck cancers. Journal of Cancer Research and Therapeutics. 10(4). 922–922. 8 indexed citations
12.
Tural, Deniz, et al.. (2014). PET-CT changes the management and improves outcome in patients with recurrent colorectal cancer. Journal of Cancer Research and Therapeutics. 10(1). 121–121. 5 indexed citations
13.
Sağer, Sait, et al.. (2012). Initial evaluation of inflammatory breast cancer with fluorodeoxyglucose positron emission tomography. Indian Journal of Nuclear Medicine. 27(1). 33–33.
14.
Sağer, Sait, et al.. (2012). Disseminated metastatic penile squamous cell carcinoma detected by fluorodeoxyglucose PET/computerized tomography. Indian Journal of Nuclear Medicine. 27(3). 189–189. 3 indexed citations
15.
Halaç, Metin, et al.. (2012). Delayed Imaging of the Pelvis With Diluted and Filled Bladder. Clinical Nuclear Medicine. 37(8). 778–780. 4 indexed citations
16.
Sağer, Sait, et al.. (2011). Unilateral thalamic hypometabolism on FDG brain PET in patient with temporal lobe epilepsy. Indian Journal of Nuclear Medicine. 26(2). 94–94. 2 indexed citations
17.
Ergül, Nurhan, Metin Halaç, Tevfik Fikret Çermik, et al.. (2011). The Diagnostic Role of FDG PET/CT in Patients with Fever of Unknown Origin. Molecular Imaging and Radionuclide Therapy. 20(1). 19–25. 26 indexed citations
18.
Sağer, Sait, et al.. (2011). Metformin-Induced Intense Bowel Uptake Observed on Restaging FDG PET/CT Study in a Patient with Gastric Lymphoma. Molecular Imaging and Radionuclide Therapy. 20(3). 114–116. 5 indexed citations
19.
Sağer, Sait, et al.. (2010). Tc 99m bone scan and fluorodeoxyglucose positron emission tomography in evaluation of disseminated langerhans cell histiocytosis. Indian Journal of Nuclear Medicine. 25(4). 164–164. 6 indexed citations
20.
Halaç, Metin, Kerim Sönmezoğlu, Sait Sağer, et al.. (2007). Female breast surface radiation exposure during FDG PET/CT examinations. Nuclear Medicine Communications. 28(12). 924–928. 1 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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