M Fullerton

1.1k citations
18 papers · 768 indexed · h-index 12

M Fullerton

18 papers receiving 740 citations

Peers

M Fullerton
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 410
  • Equine 34
  • Cardiology and Cardiovascular Medicine 318
  • Behavioral Neuroscience 26
  • Surgery 233
Replace Barbara Mariniello with:
Barbara Mariniello Italy
Tham M. Yao United States
Madeleine Vincent France
Oliver Chung United States
Yukari Mimura Japan
Amanda J. Rickard Australia
Antonella Antelmi Italy
Kota Matsuki Japan
Zuzana Kováčová Czechia
Nobuki Hayakawa Japan
M Fullerton relative to Barbara Mariniello Italy Barbara Mariniello's profile →
Citations per field
00.5×8.5×
Barbara Mariniello · 1×
Citations per year

Countries citing papers authored by M Fullerton

Since Specialization
Citations

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

Fields of papers citing papers by M Fullerton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1
Presence of pro-opiomelanocortin peptides and corticotropin-releasing factor in human placenta.
19965
2 19967
3 199514
4 1994373
5 199490
6 19925
7 199230
8 199219
9 199141
10 199113
11
Influence of cardiac failure on atrial natriuretic peptide responses in patients undergoing vascular surgery.
19912
12 19906
13 19895
14 198920
15 198973
16 198829
17 198821
18 198615

About M Fullerton

M Fullerton is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems, Complementary and alternative medicine and Genetics, having authored 18 papers that have together received 768 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (4 papers), Hormonal Regulation and Hypertension (4 papers), Estrogen and related hormone effects (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Hormonal and reproductive studies (2 papers), Ion channel regulation and function (2 papers), Receptor Mechanisms and Signaling (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (410 citations), Equine (34 citations), Cardiology and Cardiovascular Medicine (318 citations), Behavioral Neuroscience (26 citations) and Surgery (233 citations). M Fullerton has collaborated with scholars based in Australia and Malaysia. Frequent co-authors include John W. Funder, Morag J. Young, Rodney J. Dilley, Elizabeth A. Woodcock, Rüdiger von Harsdorf, R. E. Lang, J W Funder, Pamela J. Russell, Margaret Jelbart and Derek Raghavan. Their work appears in journals such as Molecular and Cellular Endocrinology, Endocrinology, American Journal of Physiology-Endocrinology and Metabolism, The Prostate and FEBS Letters.

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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