Ruth Everett

1.7k citations
42 papers · 1.4k · h-index 20

Impact in

Papers in

Ruth Everett

39 papers receiving 1.3k citations

Peers

Ruth Everett
Comparison fields: 5 of 94
  • Endocrine and Autonomic Systems 245
  • Pulmonary and Respiratory Medicine 563
  • Genetics 351
  • Oncology 200
  • Emergency Medicine 59
Replace Yi‐Xin Lin with:
Yi‐Xin Lin China
L. Diamond United States
Dennis Davidson United States
Bernhardt Zeiher United States
Y. Matsuzawa Japan
Blair Walker Canada
S. B. Coade United Kingdom
Naoyuki Hashiguchi Japan
Norimasa Fukuda Japan
Gang Yue United States
Ruth Everett relative to Yi‐Xin Lin China Yi‐Xin Lin's profile →
Citations per field
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Yi‐Xin Lin · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006121
2 2001118
3 2003112
4 1995104
5 201597
6 200290
7 199987
8 201387
9 200680
10 199677
11 200659
12 200356
13 201542
14 200137
15 200136
16 200532
17 200424
18 201624
19 201922
20 199819

About Ruth Everett

Ruth Everett is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Genetics, Endocrine and Autonomic Systems and Oncology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (19 papers), Respiratory Support and Mechanisms (13 papers), Neuroscience of respiration and sleep (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Virus-based gene therapy research (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Infant Development and Preterm Care (4 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (245 citations), Pulmonary and Respiratory Medicine (563 citations), Genetics (351 citations), Oncology (200 citations) and Emergency Medicine (59 citations). Ruth Everett has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Tilo Gerhardt, Nelson Claure, Eduardo Bancalari, Gabriel Musante, Dhiren R. Thakker, Delila Serra, Tianxiang Han, Álvaro González, Carmen M. Herrera and William R. Proctor. Their work appears in journals such as Pediatric Research, Pediatric Pulmonology, Cancer Research, Journal of Virology and Molecular Pharmacology.

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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