M.A. Abruzzo
- Genetics top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Plant Science top 10%
- Co-authors
- Terry HassoldElise MillieDarren K. GriffinMichelle MerrillMichael V. ZaragozaJoseph ShenMiroslav MayerEleanor Feingold
- Topics
- Genetics and Neurodevelopmental Disorders (8 papers)Genomic variations and chromosomal abnormalities (7 papers)Chromosomal and Genetic Variations (5 papers)
- Partner nations
- United States
In The Last Decade
M.A. Abruzzo
16 papers receiving 830 citations
Peers
Comparison fields: 5 of 68
- Genetics 450
- Pediatrics, Perinatology and Child Health 396
- Molecular Biology 284
- Public Health, Environmental and Occupational Health 234
- Plant Science 188
Countries citing papers authored by M.A. Abruzzo
This map shows the geographic impact of M.A. Abruzzo'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.A. Abruzzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Abruzzo more than expected).
Fields of papers citing papers by M.A. Abruzzo
This network shows the impact of papers produced by M.A. Abruzzo. 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.A. Abruzzo. The network helps show where M.A. Abruzzo may publish in the future.
Co-authorship network of co-authors of M.A. Abruzzo
This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Abruzzo. A scholar is included among the top collaborators of M.A. Abruzzo 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 M.A. Abruzzo. M.A. Abruzzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 337 | |
| 2 | 26 | |
| 3 | 28 | |
| 4 | Sex ratio in normal and disomic sperm: evidence that the extra chromosome 21 preferentially segregates with the Y chromosome. | 53 |
| 5 | 163 | |
| 6 | 86 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 23 | |
| 11 | 7 | |
| 12 | A comparison of fragile X expression in lymphocyte and lymphoblastoid cultures. | 7 |
| 13 | The effect of methionine and 5-azacytidine on fragile X expression. | 10 |
| 14 | 61 | |
| 15 | 8 | |
| 16 | 28 |
About M.A. Abruzzo
M.A. Abruzzo is a scholar working on Genetics, Gender Studies and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 862 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (8 papers), Genomic variations and chromosomal abnormalities (7 papers) and Chromosomal and Genetic Variations (5 papers). The work is most often cited by research in Reproductive Medicine (187 citations), Pediatrics, Perinatology and Child Health (396 citations) and Genetics (450 citations). M.A. Abruzzo has collaborated with scholars based in United States. Frequent co-authors include Terry Hassold, Elise Millie, Darren K. Griffin, Michelle Merrill, Michael V. Zaragoza, Joseph Shen, Miroslav Mayer, Eleanor Feingold, Leon A. Sheean and Stephanie L. Sherman. Their work appears in journals such as Human Molecular Genetics, Journal of Medical Genetics and Human 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.