JP Armstrong

429 citations
6 papers · 287 · h-index 4

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

JP Armstrong

6 papers receiving 275 citations

Peers

JP Armstrong
Comparison fields: 5 of 57
  • Infectious Diseases 193
  • Neurology 103
  • Oncology 103
  • Geriatrics and Gerontology 13
  • Modeling and Simulation 15
Replace Inayat Gill with:
Inayat Gill United States
Angy Hanna United States
Fadi Odish United States
Aimen Vanood United States
Matilde Boccia Italy
Laura Semenzato France
Federico Espinosa Argentina
Ezequiel Saavedra Argentina
A Bengolea Argentina
Verónica Sanguine Argentina
JP Armstrong relative to Inayat Gill United States Inayat Gill's profile →
Citations per field
00.5×1.5×
Inayat Gill · 1×
Citations per year

Countries citing papers authored by JP Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by JP Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JP Armstrong. 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 JP Armstrong. The network helps show where JP Armstrong may publish in the future.

Co-authors

The 22 scholars most cited alongside JP Armstrong, 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 JP Armstrong Line = papers co-authored together JP Armstrong links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2020264
2 202211
3
A new method for identifying the depth of insertion of tracheal tubes.
19955
4
Characteristics and Outcomes of Older Patients Attending an Acute Medical Assessment Unit.
20155
5 20231
6 19941

About JP Armstrong

JP Armstrong is a scholar working on Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Management of Technology and Innovation, Infectious Diseases and Surgery, having authored 6 papers that have together received 287 indexed citations. Recurring topics across this work include Airway Management and Intubation Techniques (2 papers), Blood donation and transfusion practices (2 papers), Long-Term Effects of COVID-19 (1 paper), Pleural and Pulmonary Diseases (1 paper), Emergency and Acute Care Studies (1 paper), Respiratory Support and Mechanisms (1 paper), Healthcare Policy and Management (1 paper) and Organ Donation and Transplantation (1 paper). The work is most often cited by research in Infectious Diseases (193 citations), Neurology (103 citations), Oncology (103 citations), Geriatrics and Gerontology (13 citations) and Modeling and Simulation (15 citations). JP Armstrong has collaborated with scholars based in Canada and United States. Frequent co-authors include Fadi Odish, Daniel O’Connor, Zaid Imam, Inayat Gill, Angy Hanna, Alexandra Halalau, Aimen Vanood, Tara Coughlan, Maya Kesler and Daniel Grace. Their work appears in journals such as Anesthesiology, Journal of Internal Medicine, BMC Public Health, SHILAP Revista de lepidopterología and PubMed.

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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