Daniel T. Swarr
Impact in
-
- Aortic Disease and Treatment Approaches
- Neonatal Respiratory Health Research
- Aortic aneurysm repair treatments
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- Cancer-related molecular mechanisms research
Papers in
- Genetics 13
- Genomic variations and chromosomal abnormalities 5
- Genomics and Rare Diseases 4
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- Prenatal Screening and Diagnostics 7
- Co-authors
- Edward E. MorriseyArnar GeirssonMartin KeaneJoseph E. BavariaY. Joseph WooAlberto PochettinoWilson Y. SzetoMichael P. Morley
- Journals
- The Journal of Pediatrics (2 papers)Nature Communications (2 papers)Prenatal Diagnosis (2 papers)Genes & Development (2 papers)Journal of Perinatology (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Daniel T. Swarr
31 papers receiving 845 citations
Peers
Comparison fields: 5 of 82
- Pulmonary and Respiratory Medicine 411
- Cancer Research 126
- Genetics 197
- Pediatrics, Perinatology and Child Health 136
- Cardiology and Cardiovascular Medicine 156
Countries citing papers authored by Daniel T. Swarr
This map shows the geographic impact of Daniel T. Swarr'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 T. Swarr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Swarr more than expected).
Fields of papers citing papers by Daniel T. Swarr
This network shows the impact of papers produced by Daniel T. Swarr. 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 T. Swarr. The network helps show where Daniel T. Swarr may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel T. Swarr, 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 | 2024 | 5 | |
| 2 | 2023 | 16 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 31 | |
| 11 | 2019 | 23 | |
| 12 | 2018 | 32 | |
| 13 | 2016 | 6 | |
| 14 | 2016 | 16 | |
| 15 | 2014 | 128 | |
| 16 | 2014 | 42 | |
| 17 | 2013 | 57 | |
| 18 | 2011 | 4 | |
| 19 | 2010 | 28 | |
| 20 | 2010 | 13 |
About Daniel T. Swarr
Daniel T. Swarr is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Surgery and Genetics, having authored 32 papers that have together received 856 indexed citations. Recurring topics across this work include Congenital Diaphragmatic Hernia Studies (10 papers), Neonatal Respiratory Health Research (9 papers), Prenatal Screening and Diagnostics (7 papers), Genomic variations and chromosomal abnormalities (5 papers), Genomics and Rare Diseases (4 papers), Tracheal and airway disorders (4 papers), Congenital Anomalies and Fetal Surgery (3 papers) and Congenital Heart Disease Studies (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (411 citations), Cancer Research (126 citations), Genetics (197 citations), Pediatrics, Perinatology and Child Health (136 citations) and Cardiology and Cardiovascular Medicine (156 citations). Daniel T. Swarr has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Edward E. Morrisey, Arnar Geirsson, Martin Keane, Joseph E. Bavaria, Y. Joseph Woo, Alberto Pochettino, Wilson Y. Szeto, Michael P. Morley, Michael J. Herriges and Kathleen M. Stewart. Their work appears in journals such as The Journal of Pediatrics, Nature Communications, Prenatal Diagnosis, Genes & Development and Journal of Perinatology.
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.