Jennifer Miller
- Genetics top 0.5%
- Molecular Biology top 10%
- Pediatrics, Perinatology and Child Health top 2%
- Surgery top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Daniel J. DriscollSuzanne B. CassidyStuart SchwartzMerlin G. ButlerJonathan J. ShusterVirginia KimonisElisabeth M. DykensAnthony P. Goldstone
- Topics
- Genetic Syndromes and Imprinting (40 papers)Genetics and Neurodevelopmental Disorders (18 papers)Epigenetics and DNA Methylation (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jennifer Miller
58 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Genetics 1.9k
- Molecular Biology 956
- Pediatrics, Perinatology and Child Health 537
- Surgery 376
- Cognitive Neuroscience 192
Countries citing papers authored by Jennifer Miller
This map shows the geographic impact of Jennifer Miller'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 Jennifer Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Miller more than expected).
Fields of papers citing papers by Jennifer Miller
This network shows the impact of papers produced by Jennifer Miller. 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 Jennifer Miller. The network helps show where Jennifer Miller may publish in the future.
Co-authorship network of co-authors of Jennifer Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Miller. A scholar is included among the top collaborators of Jennifer Miller 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 Jennifer Miller. Jennifer Miller 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | Prader-Willi syndromebreakdown → | 1016 |
| 14 | 45 | |
| 15 | 14 | |
| 16 | 56 | |
| 17 | 35 | |
| 18 | 67 | |
| 19 | 19 | |
| 20 | 20 |
About Jennifer Miller
Jennifer Miller is a scholar working on Genetics, Endocrine and Autonomic Systems and Pediatrics, Perinatology and Child Health, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (40 papers), Genetics and Neurodevelopmental Disorders (18 papers) and Epigenetics and DNA Methylation (14 papers). The work is most often cited by research in Genetics (1.9k citations), Pediatrics, Perinatology and Child Health (537 citations) and Endocrine and Autonomic Systems (181 citations). Jennifer Miller has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Daniel J. Driscoll, Suzanne B. Cassidy, Stuart Schwartz, Merlin G. Butler, Jonathan J. Shuster, Virginia Kimonis, Elisabeth M. Dykens, Anthony P. Goldstone, June‐Anne Gold and Mary Wagner. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.
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.