Mitzi Morris
Impact in
-
- Epigenetics and DNA Methylation
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Genetics top 10%
- Genetic Syndromes and Imprinting
- Genetic Associations and Epidemiology
Papers in
-
- COVID-19 epidemiological studies 1
-
- Urban Transport and Accessibility 1
- Co-authors
- Vundavalli V.V.S. Murty (1 shared paper)Benjamin Tycko (1 shared paper)Eric J. N. Vilain (1 shared paper)Le Jiang (1 shared paper)ALEXANDRA C. SPADOLA (1 shared paper)Nicole Schupf (1 shared paper)Jolanta Kosek (1 shared paper)Rui Eric Yuan (1 shared paper)
- Journals
- PLoS Computational Biology (1 paper)Spatial and Spatio-temporal Epidemiology (1 paper)Journal of Biomedical Informatics (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Mitzi Morris
5 papers receiving 663 citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 453
- Genetics 182
- Modeling and Simulation 18
- Pediatrics, Perinatology and Child Health 54
- Artificial Intelligence 85
Countries citing papers authored by Mitzi Morris
This map shows the geographic impact of Mitzi Morris'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 Mitzi Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitzi Morris more than expected).
Fields of papers citing papers by Mitzi Morris
This network shows the impact of papers produced by Mitzi Morris. 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 Mitzi Morris. The network helps show where Mitzi Morris may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitzi Morris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 352 | |
| 2 | 2003 | 212 | |
| 3 | 2019 | 108 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 4 |
About Mitzi Morris
Mitzi Morris is a scholar working on Modeling and Simulation, Transportation, Statistics and Probability, Safety, Risk, Reliability and Quality and Psychiatry and Mental health, having authored 5 papers that have together received 680 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (1 paper), Biomedical Text Mining and Ontologies (1 paper), Data-Driven Disease Surveillance (1 paper), Bipolar Disorder and Treatment (1 paper), Genetic Syndromes and Imprinting (1 paper), Bioinformatics and Genomic Networks (1 paper), Urban Transport and Accessibility (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Molecular Biology (453 citations), Genetics (182 citations), Modeling and Simulation (18 citations), Pediatrics, Perinatology and Child Health (54 citations) and Artificial Intelligence (85 citations). Mitzi Morris has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Vundavalli V.V.S. Murty, Benjamin Tycko, Eric J. N. Vilain, Le Jiang, ALEXANDRA C. SPADOLA, Nicole Schupf, Jolanta Kosek, Rui Eric Yuan, Fatemeh G. Haghighi and Eldad A. Hod. Their work appears in journals such as PLoS Computational Biology, Spatial and Spatio-temporal Epidemiology, Journal of Biomedical Informatics and Nature 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.