Ruth Everett

1.5k citations
37 papers · 1.1k · h-index 18

Impact in

Papers in

Ruth Everett

36 papers receiving 1.1k citations

Peers

Ruth Everett
Comparison fields: 5 of 95
  • Endocrine and Autonomic Systems 190
  • Genetics 333
  • Pulmonary and Respiratory Medicine 374
  • Oncology 204
  • Infectious Diseases 106
Replace Keita Harada with:
Keita Harada Japan
Mark A. McCrory United States
Zhiwei Cai China
Andrée Weber Canada
Giuseppe Fanciulli Italy
Francesco Perna Italy
Mina Ahloulay France
Zachary M. Sellers United States
Andrew J. Hirsh United States
John J. Moran United States
Ruth Everett relative to Keita Harada Japan Keita Harada's profile →
Citations per field
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Keita Harada · 1×
Citations per year

Countries citing papers authored by Ruth Everett

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Everett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006116
2 2001112
3 2003106
4 201595
5 201383
6 200676
7 200274
8 199659
9 200354
10 200645
11 201539
12 200132
13 200527
14 200125
15 201624
16 200423
17 201920
18 199818
19 199613
20 199711

About Ruth Everett

Ruth Everett is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Endocrine and Autonomic Systems, Genetics and Surgery, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (15 papers), Neonatal Respiratory Health Research (15 papers), Neuroscience of respiration and sleep (9 papers), Metabolism, Diabetes, and Cancer (6 papers), Virus-based gene therapy research (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Congenital Diaphragmatic Hernia Studies (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (190 citations), Genetics (333 citations), Pulmonary and Respiratory Medicine (374 citations), Oncology (204 citations) and Infectious Diseases (106 citations). Ruth Everett has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Nelson Claure, Tilo Gerhardt, Eduardo Bancalari, Dhiren R. Thakker, Delila Serra, Tianxiang Han, Gabriel Musante, William R. Proctor, Carmen M. Herrera and Hao Cai. Their work appears in journals such as Pediatric Research, Pediatric Pulmonology, Cancer Research, Molecular Pharmacology and PEDIATRICS.

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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