Tim Geary
Impact in
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- Airway Management and Intubation Techniques
- Anesthesia and Sedative Agents
- Developmental Neuroscience top 5%
- Anesthesia and Neurotoxicity Research
Papers in
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- Airway Management and Intubation Techniques 2
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- Cardiac, Anesthesia and Surgical Outcomes 4
- Co-authors
- Brian Joseph Anderson (1 shared paper)Boris Zernikow (1 shared paper)M J Harvey (1 shared paper)
- Journals
- Nature (3 papers)Pediatric Anesthesia (1 paper)British Journal of Anaesthesia (1 paper)Human Genetics and Genomics Advances (1 paper)The Lancet Respiratory Medicine (1 paper)
- Partner nations
- United KingdomGermanyNew Zealand
In The Last Decade
Tim Geary
8 papers receiving 1.1k citations
Tim Geary's Hit Papers
Peers
Comparison fields: 5 of 98
- Anesthesiology and Pain Medicine 205
- Developmental Neuroscience 94
- Cardiology and Cardiovascular Medicine 228
- Infectious Diseases 183
- Critical Care and Intensive Care Medicine 37
Countries citing papers authored by Tim Geary
This map shows the geographic impact of Tim Geary'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 Tim Geary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Geary more than expected).
Fields of papers citing papers by Tim Geary
This network shows the impact of papers produced by Tim Geary. 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 Tim Geary. The network helps show where Tim Geary may publish in the future.
Co-authors
The 3 scholars most cited alongside Tim Geary, 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 | Incidence of severe critical events in paediatric anaesthesia (APRICOT): a prospective multicentre observational study in 261 hospitals in Europe Hit paper breakdown → | 2017 | 555 |
| 2 | Whole-genome sequencing reveals host factors underlying critical COVID-19 Hit paper breakdown → | 2022 | 228 |
| 3 | 2019 | 134 | |
| 4 | GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 Hit paper breakdown → | 2023 | 121 |
| 5 | 2023 | 56 | |
| 6 | 2011 | 12 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 5 | |
| 9 | 2018 | 0 | |
| 10 | 2024 | 0 |
About Tim Geary
Tim Geary is a scholar working on Anesthesiology and Pain Medicine, Cardiology and Cardiovascular Medicine, Infectious Diseases, Immunology and Developmental Neuroscience, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (4 papers), COVID-19 Clinical Research Studies (3 papers), interferon and immune responses (3 papers), Airway Management and Intubation Techniques (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Pediatric Pain Management Techniques (1 paper), Anesthesia and Pain Management (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (205 citations), Developmental Neuroscience (94 citations), Cardiology and Cardiovascular Medicine (228 citations), Infectious Diseases (183 citations) and Critical Care and Intensive Care Medicine (37 citations). Tim Geary has collaborated with scholars based in United Kingdom, Germany and New Zealand. Frequent co-authors include Brian Joseph Anderson, Boris Zernikow and M J Harvey. Their work appears in journals such as Nature, Pediatric Anesthesia, British Journal of Anaesthesia, Human Genetics and Genomics Advances and The Lancet Respiratory Medicine.
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.