Hatice Savas

970 total citations
42 papers, 564 citations indexed

About

Hatice Savas is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Hatice Savas has authored 42 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 17 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Hatice Savas's work include Lymphoma Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Prostate Cancer Diagnosis and Treatment (6 papers). Hatice Savas is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Prostate Cancer Diagnosis and Treatment (6 papers). Hatice Savas collaborates with scholars based in United States, Türkiye and Australia. Hatice Savas's co-authors include Rishi Agrawal, Anca M. Avram, Barbara Pro, Leo I. Gordon, Anjana V. Yeldandi, Pamela B. Allen, Jane N. Winter, Ka Kit Wong, Eric Hart and Gary Dillehay and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Hatice Savas

33 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hatice Savas United States 11 219 167 153 115 70 42 564
Sudipto Mukherjee United States 17 152 0.7× 113 0.7× 319 2.1× 149 1.3× 26 0.4× 139 1.2k
Alessandro Caputo Italy 16 168 0.8× 54 0.3× 141 0.9× 160 1.4× 25 0.4× 80 701
Jeffrey Mueller United States 13 137 0.6× 153 0.9× 150 1.0× 273 2.4× 63 0.9× 39 832
Clarissa A. Cassol United States 13 55 0.3× 54 0.3× 108 0.7× 84 0.7× 36 0.5× 38 494
Erini Makariou United States 17 252 1.2× 103 0.6× 181 1.2× 119 1.0× 127 1.8× 33 899
Qing Xu China 15 331 1.5× 23 0.1× 184 1.2× 252 2.2× 67 1.0× 42 711
Yasuyuki Kobayashi Japan 17 352 1.6× 90 0.5× 53 0.3× 182 1.6× 12 0.2× 66 896
Dan Assaf Israel 9 180 0.8× 23 0.1× 164 1.1× 74 0.6× 29 0.4× 34 497
Constance de Margerie‐Mellon France 15 357 1.6× 43 0.3× 110 0.7× 562 4.9× 47 0.7× 53 901

Countries citing papers authored by Hatice Savas

Since Specialization
Citations

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

Fields of papers citing papers by Hatice Savas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hatice Savas

This figure shows the co-authorship network connecting the top 25 collaborators of Hatice Savas. A scholar is included among the top collaborators of Hatice Savas 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 Hatice Savas. Hatice Savas 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.
Gennaro, Nicolò, Amir A. Borhani, Linda C. Kelahan, et al.. (2025). Delta Radiomics and Tumor Size: A New Predictive Radiomics Model for Chemotherapy Response in Liver Metastases from Breast and Colorectal Cancer. Tomography. 11(3). 20–20.
2.
Li, Eric V., Edward M. Schaeffer, Ruoji Zhou, et al.. (2025). Utility of 18F-DCFPyL PET for local staging for high or very high risk prostate cancer for patients undergoing radical prostatectomy. European Journal of Nuclear Medicine and Molecular Imaging. 52(7). 2335–2342. 2 indexed citations
3.
Savas, Hatice, et al.. (2025). Radiologic and Clinical Correlates of Long-Term Post-COVID-19 Pulmonary Sequelae. Journal of Clinical Medicine. 14(14). 4874–4874.
4.
Jawahar, A., Hatice Savas, Vikas Mehta, et al.. (2025). Detection of MRI‐Invisible Disease Using PSMA PET/CT in a Patient Considering Focal Therapy. Case Reports in Urology. 2025(1). 2981515–2981515. 1 indexed citations
5.
6.
Broski, Stephen M., Masha Kocherginsky, Betsy LaPlant, et al.. (2025). Prognostic impact of extranodal disease on PET/CT in follicular lymphoma: results from a validation study with ECOG 2408. PubMed. 2(3). 100113–100113.
7.
Bennett, R. C., Eric V. Li, Steven P. Rowe, et al.. (2024). Implementation of PSMA PET/CT and alignment of ordering to SNMMI appropriate use criteria in a large network system. The Prostate. 84(8). 717–722. 1 indexed citations
8.
Çiçek, Vedat, et al.. (2024). Machine learning for prognostic prediction in coronary artery disease with SPECT data: a systematic review and meta-analysis. EJNMMI Research. 14(1). 117–117. 2 indexed citations
9.
Çiçek, Vedat, Tufan Çınar, Elif Keleş, et al.. (2024). Mortality Prediction of Pulmonary Embolism Patients with Deep Learning and XGBoost. 1–6. 1 indexed citations
10.
Bennett, Richard G., Eric Li, Chalairat Suk‐Ouichai, et al.. (2024). Patterns of PSMA PET/CT scan usage for initial staging and recurrence in a multi-centered hospital system.. Journal of Clinical Oncology. 42(4_suppl). 36–36.
11.
Bryan, Locke J., Carla Casulo, Pamela B. Allen, et al.. (2023). Pembrolizumab Added to Ifosfamide, Carboplatin, and Etoposide Chemotherapy for Relapsed or Refractory Classic Hodgkin Lymphoma. JAMA Oncology. 9(5). 683–683. 29 indexed citations
12.
Voter, Andrew F., Rudolf A. Werner, Hatice Savas, et al.. (2023). A Practical Guide to the Pearls and Pitfalls of PSMA PET Imaging. Seminars in Nuclear Medicine. 54(1). 119–131. 11 indexed citations
13.
Liu, Sophia, Muhammad Umair, Bradley D. Allen, et al.. (2022). Combined modality PET/MR for the detection of severe large vessel vasculitis. SHILAP Revista de lepidopterología. 6(1). 16–16. 7 indexed citations
14.
Liu, Peter, Mariam Moshiri, Christine O. Menias, et al.. (2022). Multimodality imaging findings of infection-induced tumors. Abdominal Radiology. 47(11). 3930–3953. 1 indexed citations
15.
Revels, Jonathan, et al.. (2022). Abdominal and pelvic splenosis: atypical findings, pitfalls, and mimics. Abdominal Radiology. 47(3). 923–947. 8 indexed citations
16.
Savas, Hatice, et al.. (2021). Advancements in Positron Emission Tomography/Magnetic Resonance Imaging and Applications to Diagnostic Challenges in Neuroradiology. Seminars in Ultrasound CT and MRI. 42(5). 434–451. 1 indexed citations
17.
Richardson, Carrie, David Aaby, Jungwha Lee, et al.. (2021). Esophageal Dilation and Other Clinical Factors Associated With Pulmonary Function Decline in Patients With Systemic Sclerosis. The Journal of Rheumatology. 48(12). 1830–1838. 7 indexed citations
18.
Wehbe, Ramsey M., Yunan Wu, Donald R. Cantrell, et al.. (2020). DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set. Radiology. 299(1). E167–E176. 119 indexed citations
19.
Dewaraja, Yuni K., Matthew J. Schipper, Jincheng Shen, et al.. (2014). Tumor-Absorbed Dose Predicts Progression-Free Survival Following 131I-Tositumomab Radioimmunotherapy. Journal of Nuclear Medicine. 55(7). 1047–1053. 45 indexed citations
20.
Glazer, Daniel I., Richard K. Brown, Ka Kit Wong, et al.. (2013). SPECT/CT Evaluation of Unusual Physiologic Radioiodine Biodistributions: Pearls and Pitfalls in Image Interpretation. Radiographics. 33(2). 397–418. 33 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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