Yael Eshet

2.8k total citations
39 papers, 795 citations indexed

About

Yael Eshet is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yael Eshet has authored 39 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yael Eshet's work include Lymphoma Diagnosis and Treatment (6 papers), Medical Imaging Techniques and Applications (4 papers) and Lymphadenopathy Diagnosis and Analysis (4 papers). Yael Eshet is often cited by papers focused on Lymphoma Diagnosis and Treatment (6 papers), Medical Imaging Techniques and Applications (4 papers) and Lymphadenopathy Diagnosis and Analysis (4 papers). Yael Eshet collaborates with scholars based in Israel, Canada and United States. Yael Eshet's co-authors include Eli Konen, Orly Goitein, Michal Eifer, Joseph Shemesh, Leonid Sternik, Elio Di Segni, E. Jerby, Liran Domachevsky, Patrick Veit‐Haibach and Ur Metser and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Journal of the American College of Cardiology.

In The Last Decade

Yael Eshet

34 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yael Eshet Israel 15 243 228 223 161 157 39 795
Lorenzo Bacigalupo Italy 15 376 1.5× 261 1.1× 186 0.8× 82 0.5× 109 0.7× 38 802
Tuncay Hazırolan Türkiye 19 299 1.2× 254 1.1× 106 0.5× 69 0.4× 563 3.6× 91 1.1k
Pierpaolo Palumbo Italy 20 409 1.7× 294 1.3× 274 1.2× 225 1.4× 67 0.4× 87 1.1k
Ali Salavati United States 21 619 2.5× 313 1.4× 435 2.0× 163 1.0× 91 0.6× 60 1.3k
Emanuele Grassedonio Italy 16 229 0.9× 203 0.9× 159 0.7× 35 0.2× 126 0.8× 63 632
Kelvin Lee United States 15 133 0.5× 176 0.8× 137 0.6× 211 1.3× 89 0.6× 39 730
Uwe Haverkamp Germany 18 211 0.9× 174 0.8× 361 1.6× 207 1.3× 48 0.3× 105 909
Nicola Maggialetti Italy 17 324 1.3× 232 1.0× 139 0.6× 101 0.6× 35 0.2× 70 773
Mounes Aliyari Ghasabeh United States 17 262 1.1× 192 0.8× 161 0.7× 153 1.0× 106 0.7× 43 726
Eugenio Inglese Italy 18 636 2.6× 192 0.8× 225 1.0× 128 0.8× 155 1.0× 52 1000

Countries citing papers authored by Yael Eshet

Since Specialization
Citations

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

Fields of papers citing papers by Yael Eshet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yael Eshet

This figure shows the co-authorship network connecting the top 25 collaborators of Yael Eshet. A scholar is included among the top collaborators of Yael Eshet 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 Yael Eshet. Yael Eshet 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.
Kedmi, Meirav, Ohad Benjamini, Ginette Schiby, et al.. (2024). Ibrutinib With Bendamustine and Rituximab for Treatment of Patients With Relapsed/Refractory Aggressive B‐Cell Lymphoma. Hematological Oncology. 42(6). e70001–e70001.
2.
Eifer, Michal, et al.. (2024). The role of FDG PET/CT radiomics in the prediction of pathological response to neoadjuvant treatment in patients with esophageal cancer. Reports of Practical Oncology & Radiotherapy. 29(2). 211–217. 3 indexed citations
3.
Ortega, Claudia, Yael Eshet, Anca Prica, et al.. (2023). Combination of FDG PET/CT Radiomics and Clinical Parameters for Outcome Prediction in Patients with Hodgkin’s Lymphoma. Cancers. 15(7). 2056–2056. 14 indexed citations
4.
Yogev, David, et al.. (2023). Virtual reality-based training and pre-operative planning for head and neck sentinel lymph node biopsy. American Journal of Otolaryngology. 44(6). 103976–103976. 5 indexed citations
5.
Eshet, Yael, Noam Tau, Sara Apter, et al.. (2023). The Role of 68Ga-FAPI PET/CT in Detection of Metastatic Lobular Breast Cancer. Clinical Nuclear Medicine. 48(3). 228–232. 22 indexed citations
6.
Eshet, Yael, Abraham Avigdor, Meirav Kedmi, & Noam Tau. (2022). Imaging of Hematological Patients in the Era of COVID-19. Acta Haematologica. 145(3). 267–274.
8.
Eifer, Michal, et al.. (2021). COVID-19 mRNA Vaccination: Age and Immune Status and Its Association with Axillary Lymph Node PET/CT Uptake. Journal of Nuclear Medicine. 63(1). 134–139. 51 indexed citations
9.
Eshet, Yael, Orit Kaidar‐Person, Uri Amit, et al.. (2021). PSMA PET/CT to evaluate response to SBRT for prostate cancer bone metastases. Reports of Practical Oncology & Radiotherapy. 26(4). 528–534. 6 indexed citations
10.
Metser, Ur, Claudia Ortega, Nathan Perlis, et al.. (2021). Detection of clinically significant prostate cancer with 18F-DCFPyL PET/multiparametric MR. European Journal of Nuclear Medicine and Molecular Imaging. 48(11). 3702–3711. 20 indexed citations
11.
Nissan, Noam, Israel Sandler, Michal Eifer, et al.. (2020). Physiologic and hypermetabolic breast 18-F FDG uptake on PET/CT during lactation. European Radiology. 31(1). 163–170. 10 indexed citations
12.
Yan, Jianhua, Claudia Ortega, Eli Lechtman, et al.. (2020). Convolutional neural networks for improving image quality with noisy PET data. EJNMMI Research. 10(1). 105–105. 52 indexed citations
13.
Percik, Ruth, Gadi Shlomai, Amir Tirosh, et al.. (2019). Isolated autoimmune adrenocorticotropic hormone deficiency: From a rare disease to the dominant cause of adrenal insufficiency related to check point inhibitors. Autoimmunity Reviews. 19(2). 102454–102454. 43 indexed citations
14.
Eshet, Yael, Erez N. Baruch, Ronnie Shapira‐Frommer, et al.. (2018). Clinical Significance of Pancreatic Atrophy Induced by Immune-Checkpoint Inhibitors: A Case–Control Study. Cancer Immunology Research. 6(12). 1453–1458. 46 indexed citations
15.
Eshet, Yael, Rachel Pauzner, Orly Goitein, et al.. (2011). The limited role of MRI in long-term follow-up of patients with Takayasu's arteritis. Autoimmunity Reviews. 11(2). 132–136. 31 indexed citations
16.
Goitein, Orly, et al.. (2011). Prospectively gated coronary computed tomography angiography: uncompromised quality with markedly reduced radiation exposure in acute chest pain evaluation.. PubMed. 13(8). 463–7. 5 indexed citations
17.
Goitein, Orly, Shlomi Matetzky, Yael Eshet, et al.. (2011). Coronary CT angiography for acute chest pain triage: Techniques for radiation exposure reduction; 128 vs. 64 multidetector CT. Acta Radiologica. 52(8). 840–845. 2 indexed citations
18.
Konen, Eli, Orly Goitein, Leonid Sternik, et al.. (2007). The Prevalence and Anatomical Patterns of Intramuscular Coronary Arteries. Journal of the American College of Cardiology. 49(5). 587–593. 129 indexed citations
20.
Konen, Eli, et al.. (2007). No evidence for myocardial iron overload in multitransfused patients with myelodysplastic syndrome using cardiac magnetic resonance T2* technique. American Journal of Hematology. 82(11). 1013–1016. 60 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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