Luke O’Donnell

3.4k citations
7 papers · 1.8k · 1 hit paper · h-index 3

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 2%
    • Long-Term Effects of COVID-19

Papers in

    • Amyloidosis: Diagnosis, Treatment, Outcomes 3
    • Cellular transport and secretion 2
    • Skin and Cellular Biology Research 1

Luke O’Donnell

5 papers receiving 1.7k citations

Luke O’Donnell's Hit Papers

Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study 2020 · 1.7k citations
1.7k0+2+4Years since publication50010001.5k

Peers

Luke O’Donnell
Comparison fields: 5 of 105
  • Infectious Diseases 1.3k
  • Neurology 674
  • Critical Care and Intensive Care Medicine 111
  • Modeling and Simulation 92
  • Oncology 497
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Luke O’Donnell relative to Junqing Yue China Junqing Yue's profile →
Citations per field
00.5×1.5×
Junqing Yue · 1×
Citations per year

Countries citing papers authored by Luke O’Donnell

Since Specialization
Citations

This map shows the geographic impact of Luke 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 Luke 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 Luke O’Donnell more than expected).

Fields of papers citing papers by Luke O’Donnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study
Hit paper breakdown →
20201741
2 20249
3 20236
4 20231
5 20231
6 20240
7 20250

About Luke O’Donnell

Luke O’Donnell is a scholar working on Molecular Biology, Cell Biology, Neurology, Genetics and Infectious Diseases, having authored 7 papers that have together received 1.8k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Dermatological and Skeletal Disorders (2 papers), Cellular transport and secretion (2 papers), Hereditary Neurological Disorders (1 paper), Long-Term Effects of COVID-19 (1 paper), Alzheimer's disease research and treatments (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Infectious Diseases (1.3k citations), Neurology (674 citations), Critical Care and Intensive Care Medicine (111 citations), Modeling and Simulation (92 citations) and Oncology (497 citations). Luke O’Donnell has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Leora I. Horwitz, Robert J. Cerfolio, Jie Yang, Simon Jones, Yelena Chernyak, Fritz François, Christopher M. Petrilli, Matthew C. Kiernan, Mary M. Reilly and Alexander M. Rossor. Their work appears in journals such as Journal of the Peripheral Nervous System, BMJ, Amyloid, Journal of Neurology Neurosurgery & Psychiatry and Journal of Neuroimmunology.

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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