Margaret H. Abbott
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 2%
- Genetics top 10%
- Rheumatology top 5%
- Co-authors
- Susan E. FolsteinMary L. FranzChristopher A. RossRussell L. MargolisO. Colin StineNeal G. RanenGary A. ChaseClair A. Francomano
- Topics
- Genetic Neurodegenerative Diseases (12 papers)Mitochondrial Function and Pathology (8 papers)Neurological disorders and treatments (7 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Margaret H. Abbott
25 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 1.1k
- Neurology 632
- Genetics 291
- Rheumatology 227
Countries citing papers authored by Margaret H. Abbott
This map shows the geographic impact of Margaret H. Abbott'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 Margaret H. Abbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret H. Abbott more than expected).
Fields of papers citing papers by Margaret H. Abbott
This network shows the impact of papers produced by Margaret H. Abbott. 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 Margaret H. Abbott. The network helps show where Margaret H. Abbott may publish in the future.
Co-authorship network of co-authors of Margaret H. Abbott
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret H. Abbott. A scholar is included among the top collaborators of Margaret H. Abbott 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 Margaret H. Abbott. Margaret H. Abbott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 50 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | 72 | |
| 7 | 44 | |
| 8 | Anticipation and instability of IT-15 (CAG)n repeats in parent-offspring pairs with Huntington disease. | 184 |
| 9 | 41 | |
| 10 | 49 | |
| 11 | 185 | |
| 12 | 195 | |
| 13 | 268 | |
| 14 | 3 | |
| 15 | 79 | |
| 16 | 67 | |
| 17 | 59 | |
| 18 | 165 | |
| 19 | 50 | |
| 20 | 39 |
About Margaret H. Abbott
Margaret H. Abbott is a scholar working on Cellular and Molecular Neuroscience, Neurology and Rheumatology, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (12 papers), Mitochondrial Function and Pathology (8 papers) and Neurological disorders and treatments (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Neurology (632 citations) and Immunology and Allergy (119 citations). Margaret H. Abbott has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Susan E. Folstein, Mary L. Franz, Christopher A. Ross, Russell L. Margolis, O. Colin Stine, Neal G. Ranen, Gary A. Chase, Clair A. Francomano, Marshal F. Folstein and Barbara Jensen. Their work appears in journals such as Science, New England Journal of Medicine and Neuron.
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.