Jeff M. Milunsky
- Genetics top 2%
- Molecular Biology top 10%
- Surgery top 10%
- Cognitive Neuroscience top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Aubrey MilunskyThomas A. MaherHelen Tager‐FlusbergStephanie NewtonTom A. MaherElizabeth CaronnaGeping ZhaoYing Zou
- Topics
- Genomic variations and chromosomal abnormalities (18 papers)Genetics and Neurodevelopmental Disorders (12 papers)Prenatal Screening and Diagnostics (11 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaPEDIATRICS
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jeff M. Milunsky
65 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 93
- Genetics 822
- Molecular Biology 704
- Surgery 304
- Cognitive Neuroscience 252
- Pediatrics, Perinatology and Child Health 204
Countries citing papers authored by Jeff M. Milunsky
This map shows the geographic impact of Jeff M. Milunsky'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 Jeff M. Milunsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff M. Milunsky more than expected).
Fields of papers citing papers by Jeff M. Milunsky
This network shows the impact of papers produced by Jeff M. Milunsky. 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 Jeff M. Milunsky. The network helps show where Jeff M. Milunsky may publish in the future.
Co-authorship network of co-authors of Jeff M. Milunsky
This figure shows the co-authorship network connecting the top 25 collaborators of Jeff M. Milunsky. A scholar is included among the top collaborators of Jeff M. Milunsky 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 Jeff M. Milunsky. Jeff M. Milunsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 18 | |
| 4 | 13 | |
| 5 | Waardenburg Syndrome Type I | 15 |
| 6 | 2 | |
| 7 | 130 | |
| 8 | 48 | |
| 9 | 161 | |
| 10 | 23 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 7 | |
| 14 | 24 | |
| 15 | 18 | |
| 16 | 61 | |
| 17 | 17 | |
| 18 | 5 | |
| 19 | 16 | |
| 20 | 3 |
About Jeff M. Milunsky
Jeff M. Milunsky is a scholar working on Genetics, Sensory Systems and Developmental Biology, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (18 papers), Genetics and Neurodevelopmental Disorders (12 papers) and Prenatal Screening and Diagnostics (11 papers). The work is most often cited by research in Genetics (822 citations), Endocrine and Autonomic Systems (123 citations) and Sensory Systems (74 citations). Jeff M. Milunsky has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Aubrey Milunsky, Thomas A. Maher, Helen Tager‐Flusberg, Stephanie Newton, Tom A. Maher, Elizabeth Caronna, Geping Zhao, Ying Zou, Leigh Anne Flore and Virginia V. Michels. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PEDIATRICS.
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.