Mitzi Morris
Impact in
- Genetics top 10%
- Genetic Syndromes and Imprinting
- Genetic Associations and Epidemiology
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- Epigenetics and DNA Methylation
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
-
- Biomedical Text Mining and Ontologies 1
- Epigenetics and DNA Methylation 1
- Co-authors
- Le Jiang (1 shared paper)Nicole Schupf (1 shared paper)Fatemeh Haghighi (1 shared paper)Vundavalli V. Murty (1 shared paper)Benjamin Tycko (1 shared paper)Alexandra Spadola (1 shared paper)Eldad A. Hod (1 shared paper)Éric Vilain (1 shared paper)
- Journals
- Nature Genetics (1 paper)Spatial and Spatio-temporal Epidemiology (1 paper)PLoS Computational Biology (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Mitzi Morris
5 papers receiving 614 citations
Peers
Comparison fields: 5 of 113
- Genetics 203
- Molecular Biology 477
- Modeling and Simulation 23
- Artificial Intelligence 97
- Pediatrics, Perinatology and Child Health 59
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 | 328 | |
| 2 | 2003 | 198 | |
| 3 | 2019 | 98 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 |
About Mitzi Morris
Mitzi Morris is a scholar working on Molecular Biology, Social Psychology, Epidemiology, Safety, Risk, Reliability and Quality and Computational Theory and Mathematics, having authored 5 papers that have together received 630 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (1 paper), Computational Drug Discovery Methods (1 paper), Urban Transport and Accessibility (1 paper), Bipolar Disorder and Treatment (1 paper), Biomedical Text Mining and Ontologies (1 paper), Traffic and Road Safety (1 paper), Epigenetics and DNA Methylation (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Genetics (203 citations), Molecular Biology (477 citations), Modeling and Simulation (23 citations), Artificial Intelligence (97 citations) and Pediatrics, Perinatology and Child Health (59 citations). Mitzi Morris has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Le Jiang, Nicole Schupf, Fatemeh Haghighi, Vundavalli V. Murty, Benjamin Tycko, Alexandra Spadola, Eldad A. Hod, Éric Vilain, Jolanta Kosek and Rui Yuan. Their work appears in journals such as Nature Genetics, Spatial and Spatio-temporal Epidemiology, PLoS Computational Biology and Journal of Biomedical Informatics.
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.