Julia Platt
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
-
- Cardiomyopathy and Myosin Studies
- Cardiac electrophysiology and arrhythmias
Papers in
-
- Cardiomyopathy and Myosin Studies 5
- Genetics 6
- Genomics and Rare Diseases 5
- Co-authors
- Gregory M. Enns (4 shared papers)Rachel L. Cox (4 shared papers)Michael V. Zaragoza (2 shared papers)Mariella T. Simon (2 shared papers)Colleen A. Caleshu (3 shared papers)Kyla E. Dunn (3 shared papers)Jonathan Bernstein (2 shared papers)Xilma Rosa Ortiz-Gonzalez (1 shared paper)
- Journals
- Genetics in Medicine (4 papers)Circulation Genomic and Precision Medicine (3 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Genetics and Metabolism (1 paper)Mitochondrion (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Julia Platt
18 papers receiving 907 citations
Peers
Comparison fields: 5 of 71
- Clinical Biochemistry 59
- Cardiology and Cardiovascular Medicine 238
- Genetics 241
- Molecular Biology 367
- Neurology 59
Countries citing papers authored by Julia Platt
This map shows the geographic impact of Julia Platt'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 Julia Platt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Platt more than expected).
Fields of papers citing papers by Julia Platt
This network shows the impact of papers produced by Julia Platt. 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 Julia Platt. The network helps show where Julia Platt may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Platt, 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 | 2014 | 191 | |
| 2 | 2012 | 124 | |
| 3 | 2012 | 90 | |
| 4 | 2013 | 90 | |
| 5 | 2020 | 90 | |
| 6 | 2014 | 55 | |
| 7 | 2019 | 50 | |
| 8 | 2017 | 45 | |
| 9 | 2017 | 45 | |
| 10 | 2012 | 44 | |
| 11 | 2015 | 26 | |
| 12 | 2021 | 21 | |
| 13 | 2014 | 16 | |
| 14 | 2011 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 13 | |
| 17 | 2024 | 1 | |
| 18 | 2026 | 1 |
About Julia Platt
Julia Platt is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Clinical Biochemistry, Gender Studies and Safety Research, having authored 18 papers that have together received 932 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (5 papers), Genomics and Rare Diseases (5 papers), Mitochondrial Function and Pathology (3 papers), Metabolism and Genetic Disorders (2 papers), Diversity and Career in Medicine (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Lysosomal Storage Disorders Research (1 paper) and Hereditary Neurological Disorders (1 paper). The work is most often cited by research in Clinical Biochemistry (59 citations), Cardiology and Cardiovascular Medicine (238 citations), Genetics (241 citations), Molecular Biology (367 citations) and Neurology (59 citations). Julia Platt has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Gregory M. Enns, Rachel L. Cox, Michael V. Zaragoza, Mariella T. Simon, Colleen A. Caleshu, Kyla E. Dunn, Jonathan Bernstein, Xilma Rosa Ortiz-Gonzalez, Sandra C. Donkervoort and Navneet Narula. Their work appears in journals such as Genetics in Medicine, Circulation Genomic and Precision Medicine, Proceedings of the National Academy of Sciences, Molecular Genetics and Metabolism and Mitochondrion.
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.