E.P. Dawson

574 citations
9 papers · 430 · h-index 8

Impact in

Papers in

E.P. Dawson

9 papers receiving 422 citations

Peers

E.P. Dawson
Comparison fields: 5 of 59
  • Biochemistry 47
  • Pulmonary and Respiratory Medicine 173
  • Clinical Biochemistry 30
  • Cardiology and Cardiovascular Medicine 94
  • Endocrinology, Diabetes and Metabolism 64
Replace Guohua Ding with:
Guohua Ding China
Oates Ja United States
Tracy Clarke United States
Jennifer Kleinhenz United States
Renna Luo China
Shaojian An United States
D.A. Terragno United States
Christopher Hall United States
Dennis Gürgen Germany
Barbara Malanchini Italy
E.P. Dawson relative to Guohua Ding China Guohua Ding's profile →
Citations per field
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Guohua Ding · 1×
Citations per year

Countries citing papers authored by E.P. Dawson

Since Specialization
Citations

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

Fields of papers citing papers by E.P. Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.P. Dawson. 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 E.P. Dawson. The network helps show where E.P. Dawson may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2009151
2 2004112
3 200346
4 200239
5 199529
6 198728
7
Regional distribution of cystic fibrosis-linked DNA haplotypes in Brazil: multicenter study.
199713
8 20117
9
Utility of internal markers to improve the accuracy of cystic fibrosis genotype analysis.
19925

About E.P. Dawson

E.P. Dawson is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 430 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Metabolism and Genetic Disorders (1 paper), Nerve injury and regeneration (1 paper), Genetic Associations and Epidemiology (1 paper), Biochemical and Molecular Research (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Biochemistry (47 citations), Pulmonary and Respiratory Medicine (173 citations), Clinical Biochemistry (30 citations), Cardiology and Cardiovascular Medicine (94 citations) and Endocrinology, Diabetes and Metabolism (64 citations). E.P. Dawson has collaborated with scholars based in United States, Ghana and India. Frequent co-authors include John A. Phillips, Eric D. Austin, Rizwan Hamid, James West, James E. Loyd, Joy D. Cogan, Lora K. Hedges, Fritz F. Parl, Lisa Wheeler and Alecia Willis. Their work appears in journals such as Gene, The Pharmacogenomics Journal, European Respiratory Journal, Archives of Biochemistry and Biophysics and Acta Psychiatrica Scandinavica.

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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