Daniel Quiat
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- Muscle Physiology and Disorders
- Congenital heart defects research
- RNA Research and Splicing
- RNA modifications and cancer
Papers in ⓘ
-
- Cardiomyopathy and Myosin Studies 4
- Cardiovascular Effects of Exercise 2
- Co-authors
- Eric N. Olson (3 shared papers)Brett A. Johnson (1 shared paper)Eva van Rooij (1 shared paper)Lillian B. Sutherland (1 shared paper)James A. Richardson (1 shared paper)Robert J. Kelm (1 shared paper)Xiaoxia Qi (1 shared paper)Jonathan G. Seidman (6 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Circulation Genomic and Precision Medicine (2 papers)Journal of Cardiothoracic and Vascular Anesthesia (1 paper)European Heart Journal (1 paper)Developmental Cell (1 paper)
- Partner nations
- United StatesBrazilAustralia
In The Last Decade
Daniel Quiat
12 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Cancer Research 679
- Molecular Biology 1.1k
- Cardiology and Cardiovascular Medicine 211
- Physiology 142
- Genetics 104
Countries citing papers authored by Daniel Quiat
This map shows the geographic impact of Daniel Quiat'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 Daniel Quiat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Quiat more than expected).
Fields of papers citing papers by Daniel Quiat
This network shows the impact of papers produced by Daniel Quiat. 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 Daniel Quiat. The network helps show where Daniel Quiat may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Quiat, 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 | A Family of microRNAs Encoded by Myosin Genes Governs Myosin Expression and Muscle Performance Hit paper breakdown → | 2009 | 784 |
| 2 | 2013 | 242 | |
| 3 | 2021 | 124 | |
| 4 | 2011 | 124 | |
| 5 | 2021 | 27 | |
| 6 | 2020 | 27 | |
| 7 | 2020 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2017 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2023 | 0 |
About Daniel Quiat
Daniel Quiat is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience, Cancer Research, Molecular Biology and Genetics, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (4 papers), Congenital heart defects research (3 papers), Muscle Physiology and Disorders (3 papers), MicroRNA in disease regulation (2 papers), Cardiovascular Effects of Exercise (2 papers), Kawasaki Disease and Coronary Complications (2 papers), Cardiac Structural Anomalies and Repair (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (679 citations), Molecular Biology (1.1k citations), Cardiology and Cardiovascular Medicine (211 citations), Physiology (142 citations) and Genetics (104 citations). Daniel Quiat has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Eric N. Olson, Brett A. Johnson, Eva van Rooij, Lillian B. Sutherland, James A. Richardson, Robert J. Kelm, Xiaoxia Qi, Jonathan G. Seidman, Christine E. Seidman and Sarah U. Morton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation Genomic and Precision Medicine, Journal of Cardiothoracic and Vascular Anesthesia, European Heart Journal and Developmental Cell.
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.