Natalie H. Yip

23 papers receiving 2.2k citations

Natalie H. Yip's Hit Papers

Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study 2020 · 1.7k citations
1.7k0+2+4Years since publication50010001.5k

Peers

Natalie H. Yip
Comparison fields: 5 of 109
  • Infectious Diseases 844
  • Critical Care and Intensive Care Medicine 190
  • Neurology 451
  • Emergency Medicine 121
  • Pulmonary and Respiratory Medicine 406
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Jonathan M. Hastie United States
Anthony J. Gerbino United States
Keith M. Rose United States
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Roberto Rech Italy
Gaetano Florio Italy
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Citations per year

Countries citing papers authored by Natalie H. Yip

Since Specialization
Citations

This map shows the geographic impact of Natalie H. 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 H. 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 H. Yip more than expected).

Fields of papers citing papers by Natalie H. Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study
Hit paper breakdown →
20201657
2 2021174
3 199859
4 200658
5 202157
6 201037
7 202330
8 202025
9 201523
10 201523
11 202017
12 202017
13 202116
14
Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case.
201915
15 202012
16 202011
17 20229
18 20209
19 20186
20 20243

About Natalie H. Yip

Natalie H. Yip is a scholar working on Pulmonary and Respiratory Medicine, Emergency Medicine, Critical Care and Intensive Care Medicine, Radiological and Ultrasound Technology and Emergency Medical Services, having authored 23 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (5 papers), Respiratory Support and Mechanisms (5 papers), COVID-19 Clinical Research Studies (3 papers), Cardiac Arrest and Resuscitation (3 papers), Healthcare Technology and Patient Monitoring (2 papers), Long-Term Effects of COVID-19 (2 papers), Family and Patient Care in Intensive Care Units (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Infectious Diseases (844 citations), Critical Care and Intensive Care Medicine (190 citations), Neurology (451 citations), Emergency Medicine (121 citations) and Pulmonary and Respiratory Medicine (406 citations). Natalie H. Yip has collaborated with scholars based in United States, Italy and Hong Kong. Frequent co-authors include Daniel Brodie, Darryl C. Abrams, Matthew R. Baldwin, Beth Hochman, Jan Claassen, John Salazar‐Schicchi, Benjamin J. Meyer, Samuel D. Jacobson, Elizabeth M. Balough and Max R. O’Donnell. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Critical Care, Annals of the American Thoracic Society, Dimensions of Critical Care Nursing and COPD Journal of Chronic Obstructive Pulmonary Disease.

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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