Jeffrey R. MacDonald
- Genetics top 1%
- Molecular Biology top 5%
- Plant Science top 5%
- Cancer Research top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Stephen W. SchererLars FeukRyan K. C. YuenDaniele MericoMehdi ZarreiRazi KhajaJoseph CheungXavier Estivill
- Topics
- Genomic variations and chromosomal abnormalities (12 papers)Chromosomal and Genetic Variations (9 papers)Genomics and Phylogenetic Studies (8 papers)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Jeffrey R. MacDonald
18 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Genetics 1.7k
- Molecular Biology 1.3k
- Plant Science 587
- Cancer Research 378
- Pediatrics, Perinatology and Child Health 233
Countries citing papers authored by Jeffrey R. MacDonald
This map shows the geographic impact of Jeffrey R. MacDonald'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 Jeffrey R. MacDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey R. MacDonald more than expected).
Fields of papers citing papers by Jeffrey R. MacDonald
This network shows the impact of papers produced by Jeffrey R. MacDonald. 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 Jeffrey R. MacDonald. The network helps show where Jeffrey R. MacDonald may publish in the future.
Co-authorship network of co-authors of Jeffrey R. MacDonald
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey R. MacDonald. A scholar is included among the top collaborators of Jeffrey R. MacDonald 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 Jeffrey R. MacDonald. Jeffrey R. MacDonald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 112 | |
| 2 | 19 | |
| 3 | A copy number variation map of the human genomebreakdown → | 558 |
| 4 | 27 | |
| 5 | 15 | |
| 6 | The Database of Genomic Variants: a curated collection of structural variation in the human genomebreakdown → | 814 |
| 7 | 31 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 214 | |
| 11 | 60 | |
| 12 | 75 | |
| 13 | 113 | |
| 14 | 16 | |
| 15 | 118 | |
| 16 | 55 | |
| 17 | 69 | |
| 18 | 187 |
About Jeffrey R. MacDonald
Jeffrey R. MacDonald is a scholar working on Genetics, Plant Science and Molecular Biology, having authored 18 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (12 papers), Chromosomal and Genetic Variations (9 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Genetics (1.7k citations), Cancer Research (378 citations) and Molecular Biology (1.3k citations). Jeffrey R. MacDonald has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Stephen W. Scherer, Lars Feuk, Ryan K. C. Yuen, Daniele Merico, Mehdi Zarrei, Razi Khaja, Joseph Cheung, Xavier Estivill, Ken S. Lau and Lap‐Chee Tsui. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Nature Reviews 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.