Danielle Nolan
Impact in
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- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
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- Metabolism and Genetic Disorders
Papers in
- Genetics 4
- Genomics and Rare Diseases 4
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- Mitochondrial Function and Pathology 2
- Co-authors
- Martha Carlson (1 shared paper)John K. Fink (1 shared paper)S Lester (1 shared paper)Baibing Chen (1 shared paper)Daniel H. Arndt (1 shared paper)Renée A. Shellhaas (1 shared paper)Anant Krishnan (1 shared paper)Elizabeth G. Ames (1 shared paper)
- Journals
- Journal of Child Neurology (2 papers)Pediatric Neurology (2 papers)The Journal of Pediatrics (1 paper)Epileptic Disorders (1 paper)Handbook of clinical neurology (1 paper)
- Partner nations
- United StatesPolandPakistan
In The Last Decade
Danielle Nolan
9 papers receiving 128 citations
Peers
Comparison fields: 5 of 35
- Genetics 75
- Clinical Biochemistry 15
- Psychiatry and Mental health 33
- Pediatrics, Perinatology and Child Health 23
- Pathology and Forensic Medicine 18
Countries citing papers authored by Danielle Nolan
This map shows the geographic impact of Danielle Nolan'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 Danielle Nolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Nolan more than expected).
Fields of papers citing papers by Danielle Nolan
This network shows the impact of papers produced by Danielle Nolan. 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 Danielle Nolan. The network helps show where Danielle Nolan may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Nolan, 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 | 2016 | 52 | |
| 2 | 2018 | 29 | |
| 3 | 2023 | 17 | |
| 4 | 2019 | 11 | |
| 5 | 2025 | 9 | |
| 6 | 2018 | 7 | |
| 7 | 2020 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2016 | 1 | |
| 10 | 2025 | 0 |
About Danielle Nolan
Danielle Nolan is a scholar working on Genetics, Molecular Biology, Clinical Biochemistry, Psychiatry and Mental health and Infectious Diseases, having authored 10 papers that have together received 129 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Metabolism and Genetic Disorders (3 papers), Epilepsy research and treatment (3 papers), Neurological and metabolic disorders (2 papers), Infectious Encephalopathies and Encephalitis (2 papers), Mitochondrial Function and Pathology (2 papers), Pharmacological Effects and Toxicity Studies (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Genetics (75 citations), Clinical Biochemistry (15 citations), Psychiatry and Mental health (33 citations), Pediatrics, Perinatology and Child Health (23 citations) and Pathology and Forensic Medicine (18 citations). Danielle Nolan has collaborated with scholars based in United States, Poland and Pakistan. Frequent co-authors include Martha Carlson, John K. Fink, S Lester, Baibing Chen, Daniel H. Arndt, Renée A. Shellhaas, Anant Krishnan, Elizabeth G. Ames, Cemal Karakas and Caleb Bupp. Their work appears in journals such as Journal of Child Neurology, Pediatric Neurology, The Journal of Pediatrics, Epileptic Disorders and Handbook of clinical neurology.
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.