Nathaly M. Sweeney

2.0k citations
11 papers · 679 indexed · 1 hit paper · h-index 7
Topics
Genomics and Rare Diseases (5 papers)Congenital Heart Disease Studies (4 papers)Genetics and Neurodevelopmental Disorders (3 papers)
Partner nations
United StatesCanada

In The Last Decade

Nathaly M. Sweeney

9 papers receiving 671 citations

Hit Papers

Rapid whole-genome sequencing decreases infant morbidity ...2018202620202023201850100150200250

Peers

Nathaly M. Sweeney
Comparison fields: 5 of 66
  • Genetics 496
  • Molecular Biology 211
  • Pulmonary and Respiratory Medicine 138
  • Pathology and Forensic Medicine 98
  • Pediatrics, Perinatology and Child Health 98
Replace Amber Hildreth with:
Amber Hildreth United States
Clesson Turner United States
Kalotina Machini United States
Rebekah Jobling Canada
Patricia R. Wahl Switzerland
G. W. J. Frederix Netherlands
Mars Skae United Kingdom
Amin J. Barakat United States
Rémi Salomon France
Takashi Kitanaka Japan
Nathaly M. Sweeney relative to Amber Hildreth United States Amber Hildreth's profile →
Citations per field
00.5×4.2×
Amber Hildreth · 1×
Citations per year

Countries citing papers authored by Nathaly M. Sweeney

Since Specialization
Citations

This map shows the geographic impact of Nathaly M. Sweeney'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 Nathaly M. Sweeney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaly M. Sweeney more than expected).

Fields of papers citing papers by Nathaly M. Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathaly M. Sweeney. 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 Nathaly M. Sweeney. The network helps show where Nathaly M. Sweeney may publish in the future.

Co-authorship network of co-authors of Nathaly M. Sweeney

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaly M. Sweeney. A scholar is included among the top collaborators of Nathaly M. Sweeney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathaly M. Sweeney. Nathaly M. Sweeney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 1
3 22
4 3
5 0
6 49
7 88
8
Rapid whole-genome sequencing decreases infant morbidity and cost of hospitalizationbreakdown →
280
9 22
10 137
11 77

About Nathaly M. Sweeney

Nathaly M. Sweeney is a scholar working on Geriatrics and Gerontology, Developmental Neuroscience and Genetics, having authored 11 papers that have together received 679 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), Congenital Heart Disease Studies (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Genetics (496 citations), Clinical Biochemistry (64 citations) and Cancer Research (85 citations). Nathaly M. Sweeney has collaborated with scholars based in United States and Canada. Frequent co-authors include Stephen F. Kingsmore, David Dimmock, Michelle M. Clark, Shimul Chowdhury, Julie A. Cakici, Narayanan Veeraraghavan, Shareef Nahas, Matthew N. Bainbridge, Yan Ding and Jeffrey J. Gold. Their work appears in journals such as PEDIATRICS, JAMA Network Open and JCI Insight.

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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