Mary Kay McCormick
- Genetics top 1%
- Genomic variations and chromosomal abnormalities 3
- Neurology top 5%
- Marketing top 10%
- Molecular Biology top 10%
- Fungal and yeast genetics research 5
- Genomics and Chromatin Dynamics 4
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- Chromosomal and Genetic Variations 4
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- Cell Adhesion Molecules Research 3
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- HIV Research and Treatment 2
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- Down syndrome and intellectual disability research 2
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- Prenatal Screening and Diagnostics 2
- Co-authors
- Peter HeutinkDorene S. MarkelBen A. OostraDouglas A. MarchukDavid W. JohnsonE.A. HelmboldAlan E. GuttmacherT. Haitjema
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Mary Kay McCormick
27 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Genetics 623
- Pulmonary and Respiratory Medicine 547
- Neurology 221
- Marketing 104
- Molecular Biology 762
Countries citing papers authored by Mary Kay McCormick
This map shows the geographic impact of Mary Kay McCormick'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 Mary Kay McCormick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Kay McCormick more than expected).
Fields of papers citing papers by Mary Kay McCormick
This network shows the impact of papers produced by Mary Kay McCormick. 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 Mary Kay McCormick. The network helps show where Mary Kay McCormick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mary Kay McCormick, 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 | 2007 | 80 | |
| 2 | 2006 | 23 | |
| 3 | 2005 | 5 | |
| 4 | 2005 | 6 | |
| 5 | 2001 | 65 | |
| 6 | 1998 | 4 | |
| 7 | 1997 | 50 | |
| 8 | 1996 | 1 | |
| 9 | 1996 | 34 | |
| 10 | 1996 | 20 | |
| 11 | 1995 | 36 | |
| 12 | 1995 | 14 | |
| 13 | Endoglin, a TGF-β binding protein of endothelial cells, is the gene for hereditary haemorrhagic telangiectasia type 1breakdown → | 1994 | 1137 |
| 14 | 1994 | 2 | |
| 15 | 1993 | 22 | |
| 16 | 1991 | 25 | |
| 17 | 1991 | 27 | |
| 18 | 1991 | 31 | |
| 19 | 1990 | 5 | |
| 20 | 1989 | 63 |
About Mary Kay McCormick
Mary Kay McCormick is a scholar working on Immunology and Allergy, Developmental Biology and Virology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Chromosomal and Genetic Variations (4 papers), Genomics and Chromatin Dynamics (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Cell Adhesion Molecules Research (3 papers), HIV Research and Treatment (2 papers), Down syndrome and intellectual disability research (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Genetics (623 citations), Pulmonary and Respiratory Medicine (547 citations) and Neurology (221 citations). Mary Kay McCormick has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Peter Heutink, Dorene S. Markel, Ben A. Oostra, Douglas A. Marchuk, David W. Johnson, E.A. Helmbold, Alan E. Guttmacher, T. Haitjema, Charles E. Jackson and Mary Porteous. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.
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.