Nuala Murphy

4.1k citations
81 papers · 2.6k · h-index 31

Impact in

Papers in

Nuala Murphy

80 papers receiving 2.5k citations

Peers

Nuala Murphy
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Pathology and Forensic Medicine 346
  • Gastroenterology 95
  • Genetics 450
  • Endocrine and Autonomic Systems 99
Replace Lynne L. Levitsky with:
Lynne L. Levitsky United States
Kalliopi Kotsa Greece
Jeffrey M P Holly United Kingdom
Lauren Nathan United States
F. I. R. Martin Australia
Thomas Heiberg Brix Denmark
Massimo Giusti Italy
Petra Stute Switzerland
Rudolf Hoermann Germany
Min‐Jung Kwon South Korea
Nuala Murphy relative to Lynne L. Levitsky United States Lynne L. Levitsky's profile →
Citations per field
00.5×2.6×
Lynne L. Levitsky · 1×
Citations per year

Countries citing papers authored by Nuala Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Nuala Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006155
2 2004152
3 2003123
4 2010119
5 2002104
6 2002103
7 1998102
8 200499
9 198393
10 200987
11 201887
12 200470
13 201269
14 199868
15 200465
16 201565
17 200963
18 199162
19 201856
20 201256

About Nuala Murphy

Nuala Murphy is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pathology and Forensic Medicine, Genetics and Pediatrics, Perinatology and Child Health, having authored 81 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Vitamin D Research Studies (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Diabetes and associated disorders (6 papers), Receptor Mechanisms and Signaling (6 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers), Ion channel regulation and function (5 papers) and Adolescent and Pediatric Healthcare (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Pathology and Forensic Medicine (346 citations), Gastroenterology (95 citations), Genetics (450 citations) and Endocrine and Autonomic Systems (99 citations). Nuala Murphy has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include David B. Dunger, Julie Edge, Carlo L. Acerini, Peter F. T. Vaughan, Martha Ford‐Adams, Stephen G. Ball, Ken K. Ong, Colin P. Hawkes, Theo J. Visser and Simon Ogston. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Neurochemistry, Hormone Research in Paediatrics, Diabetes Care and The Journal of Pediatrics.

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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