Maya Mor

469 total citations
12 papers, 290 citations indexed

About

Maya Mor is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Maya Mor has authored 12 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Maya Mor's work include Medical Imaging Techniques and Applications (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Medical Imaging and Pathology Studies (3 papers). Maya Mor is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Medical Imaging and Pathology Studies (3 papers). Maya Mor collaborates with scholars based in Israel and United States. Maya Mor's co-authors include Rachel Bar‐Shalom, Ora Israel, Diana Gaitini, Ron Epelbaum, Alex Frenkel, Dov Front, Gerald M. Kolodny, Nissim Haim, Stanley J. Goldsmith and Zohar Keidar and has published in prestigious journals such as Cancer, Radiology and Journal of Clinical Medicine.

In The Last Decade

Maya Mor

11 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Mor Israel 8 210 137 114 33 30 12 290
Russ Kuker United States 10 123 0.6× 55 0.4× 65 0.6× 47 1.4× 21 0.7× 48 295
W. Enne Germany 2 216 1.0× 181 1.3× 143 1.3× 39 1.2× 47 1.6× 2 312
Rumi Nakashima Japan 11 187 0.9× 40 0.3× 195 1.7× 54 1.6× 79 2.6× 19 408
G Kühnel Germany 5 164 0.8× 138 1.0× 75 0.7× 79 2.4× 49 1.6× 6 312
Jyotsna Rao United States 6 317 1.5× 94 0.7× 176 1.5× 58 1.8× 29 1.0× 7 396
P. Razola Spain 8 96 0.5× 48 0.4× 71 0.6× 82 2.5× 51 1.7× 57 292
Malou A. Vermoolen Netherlands 9 292 1.4× 136 1.0× 58 0.5× 24 0.7× 46 1.5× 11 380
T.Y. Andraos United States 8 102 0.5× 101 0.7× 98 0.9× 60 1.8× 33 1.1× 33 244
Fumitoshi Nakamura Japan 5 149 0.7× 73 0.5× 102 0.9× 58 1.8× 27 0.9× 8 318
Giulia Santo Italy 10 119 0.6× 43 0.3× 76 0.7× 112 3.4× 55 1.8× 41 307

Countries citing papers authored by Maya Mor

Since Specialization
Citations

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

Fields of papers citing papers by Maya Mor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Mor

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Mor. A scholar is included among the top collaborators of Maya Mor 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 Maya Mor. Maya Mor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Gazitt, Tal, Fadi Kharouf, Joy Feld, et al.. (2023). Real-Life Utilization of Criteria Guidelines for Diagnosis of Cardiac Sarcoidosis (CS). Journal of Clinical Medicine. 12(16). 5278–5278.
2.
Davidovits, Miriam, Lewis Reisman, Roxana Cleper, et al.. (2021). Long-term outcomes during 37 years of pediatric kidney transplantation: a cohort study comparing ethnic groups. Pediatric Nephrology. 36(7). 1881–1888. 6 indexed citations
3.
Cleper, Roxana, Irit Krause, Maya Mor, et al.. (2016). Focal segmental glomerulosclerosis in pediatric kidney transplantation: 30 years’ experience. Clinical Transplantation. 30(10). 1324–1331. 14 indexed citations
4.
Mor, Maya, et al.. (2004). The Added Value of Spiral Computed Tomographic Angiography After Lung Scintigraphy for the Diagnosis of Pulmonary Embolism. Clinical Nuclear Medicine. 29(4). 255–261. 3 indexed citations
5.
Israel, Ora, Maya Mor, Luda Guralnik, et al.. (2004). Is 18F-FDG PET/CT useful for imaging and management of patients with suspected occult recurrence of cancer?. PubMed. 45(12). 2045–51. 45 indexed citations
8.
Israel, Ora, Maya Mor, Diana Gaitini, et al.. (2002). Combined functional and structural evaluation of cancer patients with a hybrid camera-based PET/CT system using (18)F-FDG.. PubMed. 43(9). 1129–36. 42 indexed citations
9.
Schapira, Daniel, et al.. (2001). Successful Pamidronate Treatment of Severe and Refractory Regional Migratory Osteoporosis. JCR Journal of Clinical Rheumatology. 7(3). 188–190. 8 indexed citations
10.
Bar‐Shalom, Rachel, et al.. (2001). The value of Ga-67 scintigraphy and F-18 fluorodeoxyglucose positron emission tomography in staging and monitoring the response of lymphoma to treatment. Seminars in Nuclear Medicine. 31(3). 177–190. 46 indexed citations
11.
Front, Dov, Rachel Bar‐Shalom, Maya Mor, et al.. (2000). Aggressive Non-Hodgkin Lymphoma: Early Prediction of Outcome with67Ga Scintigraphy. Radiology. 214(1). 253–257. 57 indexed citations
12.
Front, Dov, Rachel Bar‐Shalom, Maya Mor, et al.. (1999). Hodgkin Disease: Prediction of Outcome with67Ga Scintigraphy after One Cycle of Chemotherapy. Radiology. 210(2). 487–491. 50 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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