Murray Rebner
- Cancer Research top 2%
- Breast Cancer Treatment Studies 19
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- Breast Lesions and Carcinomas 20
- Oncology top 2%
- Global Cancer Incidence and Screening 15
- Cancer Diagnosis and Treatment 4
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- Radiology practices and education 3
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- Digital Radiography and Breast Imaging 10
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- AI in cancer detection 10
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- Cancer and Skin Lesions 6
- Co-authors
- Etta D. PisanoConstantine GatsonisLawrence W. BassettRoberta A. JongEmily F. ConantMartin J. YaffeJanet K. BaumSuddhasatta Acharyya
- Journals
- Radiology (13 papers)American Journal of Roentgenology (6 papers)Journal of the American College of Radiology (3 papers)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Murray Rebner
45 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 803
- Pathology and Forensic Medicine 859
- Oncology 1.3k
- Radiology, Nuclear Medicine and Imaging 978
- Pulmonary and Respiratory Medicine 1.4k
Countries citing papers authored by Murray Rebner
This map shows the geographic impact of Murray Rebner'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 Murray Rebner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murray Rebner more than expected).
Fields of papers citing papers by Murray Rebner
This network shows the impact of papers produced by Murray Rebner. 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 Murray Rebner. The network helps show where Murray Rebner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Murray Rebner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 22 | |
| 2 | 2009 | 14 | |
| 3 | 2008 | 324 | |
| 4 | 2006 | 408 | |
| 5 | 2006 | 6 | |
| 6 | Diagnostic Performance of Digital versus Film Mammography for Breast-Cancer Screeningbreakdown → | 2005 | 1331 |
| 7 | 2004 | 1 | |
| 8 | 2004 | 43 | |
| 9 | 2000 | 50 | |
| 10 | 1999 | 18 | |
| 11 | 1999 | 6 | |
| 12 | 1994 | 33 | |
| 13 | 1993 | 3 | |
| 14 | 1992 | 6 | |
| 15 | 1991 | 124 | |
| 16 | Fine needle aspiration biopsy of the breast. Influence of the number of passes and the sample size on the diagnostic yield. | 1990 | 36 |
| 17 | 1989 | 11 | |
| 18 | 1989 | 41 | |
| 19 | Fat necrosis of bilateral musculocutaneous flap breast reconstruction | 1988 | 1 |
| 20 | 1987 | 19 |
About Murray Rebner
Murray Rebner is a scholar working on Cancer Research, Pathology and Forensic Medicine, Dermatology, Oncology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 3.2k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (20 papers), Breast Cancer Treatment Studies (19 papers), Global Cancer Incidence and Screening (15 papers), AI in cancer detection (10 papers), Digital Radiography and Breast Imaging (10 papers), Cancer and Skin Lesions (6 papers), Cancer Diagnosis and Treatment (4 papers) and Radiology practices and education (3 papers). The work is most often cited by research in Cancer Research (803 citations), Pathology and Forensic Medicine (859 citations), Oncology (1.3k citations), Radiology, Nuclear Medicine and Imaging (978 citations) and Pulmonary and Respiratory Medicine (1.4k citations). Murray Rebner has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Etta D. Pisano, Constantine Gatsonis, Lawrence W. Bassett, Roberta A. Jong, Emily F. Conant, Martin J. Yaffe, Janet K. Baum, Suddhasatta Acharyya, Laurie L. Fajardo and Edward Hendrick. Their work appears in journals such as Radiology, American Journal of Roentgenology, Journal of the American College of Radiology, Cancer and Breast Disease.
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.