Delyth Graham

4.3k citations
79 papers · 3.0k · h-index 28

Impact in

Papers in

Delyth Graham

77 papers receiving 3.0k citations

Peers

Delyth Graham
Comparison fields: 5 of 108
  • Physiology 704
  • Obstetrics and Gynecology 192
  • Neurology 201
  • Cardiology and Cardiovascular Medicine 505
  • Pediatrics, Perinatology and Child Health 384
Replace Ana Paula Dantas with:
Ana Paula Dantas Spain
In Kyu Lee South Korea
Carlos F. Sánchez‐Ferrer Spain
Heng Ma China
John S.D. Chan Canada
Carlos Bernal‐Mizrachi United States
Renu A. Kowluru United States
Erland Arning United States
Speranza Rubattu Italy
Rafal R. Nazarewicz United States
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Citations per field
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Citations per year

Countries citing papers authored by Delyth Graham

Since Specialization
Citations

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

Fields of papers citing papers by Delyth Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001389
2 2009322
3 2003302
4 2018146
5 200999
6 200497
7 201896
8 201687
9 202079
10 200975
11 202067
12 200365
13 201462
14 200061
15 199959
16 200556
17 200554
18 200051
19 199851
20 201250

About Delyth Graham

Delyth Graham is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 79 papers that have together received 3.0k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (12 papers), Renin-Angiotensin System Studies (10 papers), Birth, Development, and Health (9 papers), Pregnancy and preeclampsia studies (8 papers), Hormonal Regulation and Hypertension (7 papers), Adipose Tissue and Metabolism (5 papers), Sodium Intake and Health (4 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Physiology (704 citations), Obstetrics and Gynecology (192 citations), Neurology (201 citations), Cardiology and Cardiovascular Medicine (505 citations) and Pediatrics, Perinatology and Child Health (384 citations). Delyth Graham has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Anna F. Dominiczak, Carlene A. Hamilton, M. Julia Brosnan, Martin McIntyre, Martin McBride, Elisabeth Beattie, Michael P. Murphy, Helena M. Cochemé, Robin A.J. Smith and Ngan Huynh. Their work appears in journals such as Hypertension, Journal of Hypertension, Clinical Science, American Journal of Hypertension and Human Gene Therapy.

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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