Natalie Yip

3.4k citations
20 papers · 1.7k indexed · 1 hit paper · h-index 13

Natalie Yip

20 papers receiving 1.7k citations

Hit Papers

Epidemiology, clinical course, and outcomes of critically...1.4k20202026202220244008001.2k

Peers

Natalie Yip
Comparison fields: 5 of 107
  • Infectious Diseases 954
  • Critical Care and Intensive Care Medicine 251
  • Neurology 632
  • Oncology 355
  • Modeling and Simulation 58
Replace Shane O’Mahony with:
Shane O’Mahony Ireland
Benjamin J. Meyer United States
Anthony Gerbino United States
Jonathan Hastie United States
Beth Hochman United States
John Salazar‐Schicchi United States
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María Gabriela Acuña Chong Ecuador
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Natalie Yip relative to Shane O’Mahony Ireland Shane O’Mahony's profile →
Citations per field
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Shane O’Mahony · 1×
Citations per year

Countries citing papers authored by Natalie Yip

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202318
3 20227
4 202114
5 202012
6 202015
7 202016
8
Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort studybreakdown →
20201406
9 202019
10 20208
11
Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case.
201913
12 20185
13 20161
14 201517
15 201522
16 20151
17 20121
18 201035
19 200654
20 199858

About Natalie Yip

Natalie Yip is a scholar working on Research and Theory, Critical Care and Intensive Care Medicine, Issues, ethics and legal aspects, Radiological and Ultrasound Technology and Emergency Medical Services, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (7 papers), Intensive Care Unit Cognitive Disorders (5 papers), Family and Patient Care in Intensive Care Units (4 papers), Cardiac Arrest and Resuscitation (3 papers), Mechanical Circulatory Support Devices (3 papers), COVID-19 and healthcare impacts (3 papers), Patient Safety and Medication Errors (2 papers) and Disaster Response and Management (2 papers). The work is most often cited by research in Infectious Diseases (954 citations), Critical Care and Intensive Care Medicine (251 citations), Neurology (632 citations), Oncology (355 citations) and Modeling and Simulation (58 citations). Natalie Yip has collaborated with scholars based in United States, Czechia and United Kingdom. Frequent co-authors include Daniel Brodie, Matthew R. Baldwin, Darryl Abrams, Jan Claassen, Beth Hochman, LeRoy E. Rabbani, Samuel D. Jacobson, Justin G. Aaron, Matthew J. Cummings and John Salazar‐Schicchi. Their work appears in journals such as Journal of Critical Care, American Journal of Respiratory and Critical Care Medicine, Critical Care Medicine, COPD Journal of Chronic Obstructive Pulmonary Disease and Journal of Nursing Scholarship.

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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