M. Elizabeth Ross
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Genetics top 2%
- Developmental Neuroscience top 0.5%
- Neurology top 1%
- Co-authors
- Costantino IadecolaDavid ShannonChih-Hsuan WangFangyi ZhangMasao NagayamaWilliam B. DobynsChristopher A. WalshSharon Minnerath
- Topics
- Epigenetics and DNA Methylation (13 papers)Neurogenesis and neuroplasticity mechanisms (12 papers)Genetics and Neurodevelopmental Disorders (11 papers)
- Partner nations
- United StatesQatarChina
In The Last Decade
M. Elizabeth Ross
103 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Molecular Biology 2.5k
- Cellular and Molecular Neuroscience 1.1k
- Genetics 903
- Developmental Neuroscience 861
- Neurology 805
Countries citing papers authored by M. Elizabeth Ross
This map shows the geographic impact of M. Elizabeth Ross'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 M. Elizabeth Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Elizabeth Ross more than expected).
Fields of papers citing papers by M. Elizabeth Ross
This network shows the impact of papers produced by M. Elizabeth Ross. 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 M. Elizabeth Ross. The network helps show where M. Elizabeth Ross may publish in the future.
Co-authorship network of co-authors of M. Elizabeth Ross
This figure shows the co-authorship network connecting the top 25 collaborators of M. Elizabeth Ross. A scholar is included among the top collaborators of M. Elizabeth Ross 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 M. Elizabeth Ross. M. Elizabeth Ross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 48 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 48 | |
| 9 | 8 | |
| 10 | Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learningbreakdown → | 545 |
| 11 | 17 | |
| 12 | 54 | |
| 13 | 405 | |
| 14 | 34 | |
| 15 | Designing Evaluation Systems To Inform, Reform, and Transform Professional Development Schools. | 2 |
| 16 | 87 | |
| 17 | 63 | |
| 18 | 94 | |
| 19 | 73 | |
| 20 | From Life in a French Town to the Artificial Heart: An Approach to the Teaching of Scientific French. | 2 |
About M. Elizabeth Ross
M. Elizabeth Ross is a scholar working on Developmental Neuroscience, Neurology and Pediatrics, Perinatology and Child Health, having authored 107 papers that have together received 5.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (13 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Genetics and Neurodevelopmental Disorders (11 papers). The work is most often cited by research in Developmental Neuroscience (861 citations), Neurology (805 citations) and Cellular and Molecular Neuroscience (1.1k citations). M. Elizabeth Ross has collaborated with scholars based in United States, Qatar and China. Frequent co-authors include Costantino Iadecola, David Shannon, Chih-Hsuan Wang, Fangyi Zhang, Masao Nagayama, William B. Dobyns, Christopher A. Walsh, Sharon Minnerath, Joseph G. Gleeson and Kristina M. Allen. Their work appears in journals such as Science, 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.