M. Daly
Impact in
- Genetics top 5%
- BRCA gene mutations in cancer
- Genomic variations and chromosomal abnormalities
- Nutrition, Genetics, and Disease
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in ⓘ
- Genetics 6
- BRCA gene mutations in cancer 6
- Estrogen and related hormone effects 1
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- Risk Perception and Management 1
- Climate Change Communication and Perception 1
- Co-authors
- Claudine Isaacs (2 shared papers)Susan L. Neuhausen (2 shared papers)Steven A. Narod (2 shared papers)J. E. Garber (1 shared paper)H. T. Lynch (1 shared paper)Patrice Watson (1 shared paper)BL Weber (1 shared paper)Timothy R. Rebbeck (1 shared paper)
- Journals
- JNCI Journal of the National Cancer Institute (2 papers)British Journal of Cancer (1 paper)Hereditary Cancer in Clinical Practice (1 paper)PubMed (3 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
M. Daly
7 papers receiving 766 citations
Peers
Comparison fields: 5 of 56
- Genetics 644
- Reproductive Medicine 183
- Cancer Research 189
- Pathology and Forensic Medicine 168
- Oncology 204
Countries citing papers authored by M. Daly
This map shows the geographic impact of M. Daly'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 M. Daly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Daly more than expected).
Fields of papers citing papers by M. Daly
This network shows the impact of papers produced by M. Daly. 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 M. Daly. The network helps show where M. Daly may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Daly, 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 | 1999 | 464 | |
| 2 | 2004 | 135 | |
| 3 | Two distinct origins of a common BRCA1 mutation in breast-ovarian cancer families: a genetic study of 15 185delAG-mutation kindreds. | 1996 | 75 |
| 4 | A common region of deletion on chromosome 17q in both sporadic and familial epithelial ovarian tumors distal to BRCA1. | 1994 | 69 |
| 5 | Exploring family relationships in cancer risk counseling using the genogram. | 1999 | 42 |
| 6 | 2009 | 13 | |
| 7 | 2012 | 4 |
About M. Daly
M. Daly is a scholar working on Genetics, Sociology and Political Science, Oncology, Reproductive Medicine and Cancer Research, having authored 7 papers that have together received 802 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (6 papers), Cancer Genomics and Diagnostics (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Estrogen and related hormone effects (1 paper), Risk Perception and Management (1 paper), Climate Change Communication and Perception (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Genetics (644 citations), Reproductive Medicine (183 citations), Cancer Research (189 citations), Pathology and Forensic Medicine (168 citations) and Oncology (204 citations). M. Daly has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Claudine Isaacs, Susan L. Neuhausen, Steven A. Narod, J. E. Garber, H. T. Lynch, Patrice Watson, BL Weber, Timothy R. Rebbeck, C. Snyder and Albert M. Levin. Their work appears in journals such as JNCI Journal of the National Cancer Institute, British Journal of Cancer, Hereditary Cancer in Clinical Practice and PubMed.
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.