Denise O’Donnell

5.0k citations
12 papers · 307 · h-index 8

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Botulinum Toxin and Related Neurological Disorders
    • COVID-19 epidemiological studies

Papers in

Denise O’Donnell

12 papers receiving 297 citations

Peers

Denise O’Donnell
Comparison fields: 5 of 75
  • Neurology 108
  • Modeling and Simulation 23
  • Endocrine and Autonomic Systems 22
  • Neurology 25
  • Infectious Diseases 54
Replace Stefano Scalia Catenacci with:
Stefano Scalia Catenacci Italy
Nasim Rezaeimanesh Iran
Ali Nasir Siddiqui India
Luigi Carlo Bottaro Italy
Scott J. Denstaedt United States
Paul Hinton United Kingdom
Sergiy G. Gychka Ukraine
Naohide Kurita Japan
Mohamad Hosein Mohamadi Iran
Valentina Selleri Italy
Denise O’Donnell relative to Stefano Scalia Catenacci Italy Stefano Scalia Catenacci's profile →
Citations per field
00.5×11.5×
Stefano Scalia Catenacci · 1×
Citations per year

Countries citing papers authored by Denise O’Donnell

Since Specialization
Citations

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

Fields of papers citing papers by Denise O’Donnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denise O’Donnell. 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 Denise O’Donnell. The network helps show where Denise O’Donnell may publish in the future.

Co-authors

The 25 scholars most cited alongside Denise O’Donnell, 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 Denise O’Donnell Line = papers co-authored together Denise O’Donnell links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1987116
2 202143
3 202140
4 201728
5 202119
6 199618
7 199713
8 202010
9 19997
10 19957
11 19994
12 20122

About Denise O’Donnell

Denise O’Donnell is a scholar working on Endocrine and Autonomic Systems, Physiology, Neurology, Pulmonary and Respiratory Medicine and Nephrology, having authored 12 papers that have together received 307 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Neonatal Respiratory Health Research (2 papers), Respiratory Support and Mechanisms (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Heart Rate Variability and Autonomic Control (1 paper), Olfactory and Sensory Function Studies (1 paper) and Botulinum Toxin and Related Neurological Disorders (1 paper). The work is most often cited by research in Neurology (108 citations), Modeling and Simulation (23 citations), Endocrine and Autonomic Systems (22 citations), Neurology (25 citations) and Infectious Diseases (54 citations). Denise O’Donnell has collaborated with scholars based in United States, Vietnam and United Kingdom. Frequent co-authors include W. Stern, W. H. Laverty, Anish Dua, Kate O’Donnell, Ryan J. Uitti, Ali H. Rajput, M. Tod, John B. Gordon, David W. Eyre and Sheila Lumley. Their work appears in journals such as Journal of Applied Physiology, Journal of Infection, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Pediatric Pulmonology and Pediatric Research.

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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