E.P. Dawson

574 total citations
9 papers, 430 citations indexed

About

E.P. Dawson is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, E.P. Dawson has authored 9 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in E.P. Dawson's work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Cystic Fibrosis Research Advances (2 papers). E.P. Dawson is often cited by papers focused on Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Cystic Fibrosis Research Advances (2 papers). E.P. Dawson collaborates with scholars based in United States, Ghana and Spain. E.P. Dawson's co-authors include John A. Phillips, James West, Joy D. Cogan, Lisa Wheeler, Rizwan Hamid, Lora K. Hedges, Fritz F. Parl, James E. Loyd, Eric D. Austin and Alecia Willis and has published in prestigious journals such as Biochemical and Biophysical Research Communications, European Respiratory Journal and Archives of Biochemistry and Biophysics.

In The Last Decade

E.P. Dawson

9 papers receiving 422 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
E.P. Dawson United States	8	173	127	94	80	64	9	430
Guohua Ding China	13	49 0.3×	249 2.0×	85 0.9×	56 0.7×	50 0.8×	23	536
Dennis Gürgen Germany	11	46 0.3×	120 0.9×	81 0.9×	54 0.7×	68 1.1×	16	368
Oates Ja United States	12	52 0.3×	114 0.9×	53 0.6×	21 0.3×	63 1.0×	30	449
Tracy Clarke United States	6	51 0.3×	119 0.9×	94 1.0×	87 1.1×	50 0.8×	7	426
D.A. Terragno United States	5	41 0.2×	63 0.5×	74 0.8×	54 0.7×	58 0.9×	6	458
I. Keularts Netherlands	9	56 0.3×	154 1.2×	100 1.1×	44 0.6×	13 0.2×	15	533
Shaojian An United States	7	33 0.2×	225 1.8×	37 0.4×	27 0.3×	42 0.7×	10	454
Christopher Hall United States	12	49 0.3×	246 1.9×	66 0.7×	32 0.4×	51 0.8×	25	510
Renna Luo China	11	66 0.4×	106 0.8×	43 0.5×	23 0.3×	22 0.3×	16	363
F Russo-Marie France	9	61 0.4×	198 1.6×	31 0.3×	69 0.9×	83 1.3×	24	454

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-authorship network of co-authors of E.P. Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of E.P. Dawson. A scholar is included among the top collaborators of E.P. Dawson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E.P. Dawson. E.P. Dawson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

White, Charles C., QiPing Feng, L. Adrienne Cupples, et al.. (2011). CYP4A11 variant is associated with high-density lipoprotein cholesterol in women. The Pharmacogenomics Journal. 13(1). 44–51. 7 indexed citations

Austin, Eric D., Joy D. Cogan, James West, et al.. (2009). Alterations in oestrogen metabolism: implications for higher penetrance of familial pulmonary arterial hypertension in females. European Respiratory Journal. 34(5). 1093–1099. 151 indexed citations

Williams, Scott M., Marylyn D. Ritchie, John A. Phillips, et al.. (2004). Multilocus Analysis of Hypertension: A Hierarchical Approach. Human Heredity. 57(1). 28–38. 112 indexed citations

Summar, Marshall, Lynn Hall, Holli B. Hutcheson, et al.. (2003). Characterization of genomic structure and polymorphisms in the human carbamyl phosphate synthetase I gene. Gene. 311. 51–57. 46 indexed citations

Bellamine, Aouatef, Yarong Wang, Michael R. Waterman, et al.. (2002). Characterization of the CYP4A11 gene, a second CYP4A gene in humans. Archives of Biochemistry and Biophysics. 409(1). 221–227. 39 indexed citations

Raskin, Salmo, Jennifer A. Philips, M.R.S. Krishnamani, et al.. (1997). Regional distribution of cystic fibrosis-linked DNA haplotypes in Brazil: multicenter study.. PubMed. 69(1). 75–88. 13 indexed citations

Dawson, E.P., John Powell, Pak C. Sham, et al.. (1995). An association study of a neurotrophic3 (NT‐3) gene polymorphism with schizophrenia. Acta Psychiatrica Scandinavica. 92(6). 425–428. 29 indexed citations

Raskin, Salmo, et al.. (1992). Utility of internal markers to improve the accuracy of cystic fibrosis genotype analysis.. PubMed. 13(3). 372–4. 5 indexed citations

Bhaumick, B., E.P. Dawson, & R. M. Bala. (1987). The effects of insulin-like growth factor-I and insulin on placental lactogen production by human term placental explants. Biochemical and Biophysical Research Communications. 144(2). 674–682. 28 indexed citations

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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