Daniel Quiat

1.9k citations
15 papers · 1.4k · 1 hit paper · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Muscle Physiology and Disorders
    • Congenital heart defects research
    • RNA Research and Splicing
    • RNA modifications and cancer

Papers in

Daniel Quiat

13 papers receiving 1.4k citations

Daniel Quiat's Hit Papers

A Family of microRNAs Encoded by Myosin Genes Governs Myosin Expression and Muscle Performance 2009 · 825 citations
8250+5+11Years since publication250500750

Peers

Daniel Quiat
Comparison fields: 5 of 86
  • Cancer Research 633
  • Molecular Biology 1.0k
  • Cardiology and Cardiovascular Medicine 205
  • Physiology 135
  • Genetics 97
Replace Sveva Romani with:
Sveva Romani Italy
Konstantina‐Ioanna Sereti United States
Britta Vogel Germany
Mònica Suelves Spain
Jennifer A. Schwanekamp United States
Yonghua Zheng China
Ryan J. Debuque Australia
Yefei Wen United States
Hyang‐Hee Seo South Korea
Daniel Quiat relative to Sveva Romani Italy Sveva Romani's profile →
Citations per field
00.5×4.2×
Sveva Romani · 1×
Citations per year

Countries citing papers authored by Daniel Quiat

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Quiat Line = papers co-authored together Daniel Quiat links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
A Family of microRNAs Encoded by Myosin Genes Governs Myosin Expression and Muscle Performance
Hit paper breakdown →
2009825
2 2013251
3 2021135
4 2011128
5 202128
6 202028
7 202012
8 202210
9 20232
10 20212
11 20251
12 20231
13 20171
14 20230
15 20240

About Daniel Quiat

Daniel Quiat is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Cancer Research and Genetics, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Congenital heart defects research (4 papers), Muscle Physiology and Disorders (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Cardiovascular Effects of Exercise (2 papers), Circular RNAs in diseases (2 papers), MicroRNA in disease regulation (2 papers), Kawasaki Disease and Coronary Complications (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (633 citations), Molecular Biology (1.0k citations), Cardiology and Cardiovascular Medicine (205 citations), Physiology (135 citations) and Genetics (97 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, James A. Richardson, Robert J. Kelm, Lillian B. Sutherland, Xiaoxia Qi, Christine E. Seidman, Jonathan G. Seidman and Sarah U. Morton. Their work appears in journals such as Circulation Genomic and Precision Medicine, Proceedings of the National Academy of Sciences, European Heart Journal, Nature Reviews Cardiology and Journal of Cardiothoracic and Vascular Anesthesia.

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.

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