Maya Mor

472 citations
15 papers · 371 · h-index 9

Impact in

Papers in

Maya Mor

14 papers receiving 358 citations

Peers

Maya Mor
Comparison fields: 5 of 49
  • Radiology, Nuclear Medicine and Imaging 181
  • Pathology and Forensic Medicine 136
  • Pulmonary and Respiratory Medicine 92
  • Transplantation 7
  • Nephrology 18
Replace Russ A. Kuker with:
Russ A. Kuker United States
Azahara Palomar Muñoz Spain
Anthony P. Freeman Australia
Gökçen Ege Türkiye
A. R. Constable United States
Chiang Jeng Tyng Brazil
Kwang Hwi Lee South Korea
Henk Jan Baarslag Netherlands
Piotr R. Obara United States
George Barbério Coura-Filho Brazil
Maya Mor relative to Russ A. Kuker United States Russ A. Kuker's profile →
Citations per field
00.5×1.5×2×2.3×
Russ A. Kuker · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Maya Mor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maya Mor Line = papers co-authored together Maya Mor links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200066
2 199957
3 200154
4
Combined functional and structural evaluation of cancer patients with a hybrid camera-based PET/CT system using (18)F-FDG.
200247
5
Is 18F-FDG PET/CT useful for imaging and management of patients with suspected occult recurrence of cancer?
200444
6 202126
7 200223
8 201620
9 20019
10 20218
11 20097
12 20216
13 20043
14 20021
15 20230

About Maya Mor

Maya Mor is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Transplantation, Internal Medicine and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 371 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Medical Imaging Techniques and Applications (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Biomedical Research and Pathophysiology (1 paper), Kidney Stones and Urolithiasis Treatments (1 paper), Bone health and osteoporosis research (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (181 citations), Pathology and Forensic Medicine (136 citations), Pulmonary and Respiratory Medicine (92 citations), Transplantation (7 citations) and Nephrology (18 citations). Maya Mor has collaborated with scholars based in Israel and United States. Frequent co-authors include Rachel Bar‐Shalom, Ora Israel, Diana E. Gaitini, Ron Epelbaum, Alex Frenkel, Gerald M. Kolodny, Nissim Haim, Dov Front, Stanley J. Goldsmith and Luda Guralnik. Their work appears in journals such as Cancer, Radiology, Journal of Clinical Medicine, Pediatric Nephrology and JACC Asia.

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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