Sean McGrath
- Molecular Biology top 5%
- Genetics top 0.5%
- Plant Science top 2%
- Cancer Research top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Devin P. LockeElaine R. MardisEvan E. EichlerRichard K. WilsonRobert S. FultonZe ChengDaniel PinkelAndrew J. Sharp
- Topics
- Genomics and Phylogenetic Studies (9 papers)Chromosomal and Genetic Variations (8 papers)Genomic variations and chromosomal abnormalities (6 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Sean McGrath
37 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 2.4k
- Genetics 2.2k
- Plant Science 1.2k
- Cancer Research 502
- Pediatrics, Perinatology and Child Health 208
Countries citing papers authored by Sean McGrath
This map shows the geographic impact of Sean McGrath'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 Sean McGrath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean McGrath more than expected).
Fields of papers citing papers by Sean McGrath
This network shows the impact of papers produced by Sean McGrath. 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 Sean McGrath. The network helps show where Sean McGrath may publish in the future.
Co-authorship network of co-authors of Sean McGrath
This figure shows the co-authorship network connecting the top 25 collaborators of Sean McGrath. A scholar is included among the top collaborators of Sean McGrath 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 Sean McGrath. Sean McGrath 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 | 6 | |
| 3 | 12 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | Characterizing the Major Structural Variant Alleles of the Human Genomebreakdown → | 269 |
| 7 | 28 | |
| 8 | 9 | |
| 9 | 211 | |
| 10 | 30 | |
| 11 | 105 | |
| 12 | BreakDancer: an algorithm for high-resolution mapping of genomic structural variationbreakdown → | 997 |
| 13 | 208 | |
| 14 | 231 | |
| 15 | 141 | |
| 16 | Segmental Duplications and Copy-Number Variation in the Human Genomebreakdown → | 678 |
| 17 | 76 | |
| 18 | 70 | |
| 19 | 12 | |
| 20 | 62 |
About Sean McGrath
Sean McGrath is a scholar working on Developmental Biology, Parasitology and Genetics, having authored 37 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Chromosomal and Genetic Variations (8 papers) and Genomic variations and chromosomal abnormalities (6 papers). The work is most often cited by research in Genetics (2.2k citations), Molecular Biology (2.4k citations) and Cancer Research (502 citations). Sean McGrath has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Devin P. Locke, Elaine R. Mardis, Evan E. Eichler, Richard K. Wilson, Robert S. Fulton, Ze Cheng, Daniel Pinkel, Andrew J. Sharp, Donna G. Albertson and Stuart Schwartz. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.