Nuala Murphy

80 papers receiving 2.4k citations

Peers

Nuala Murphy
Comparison fields: 5 of 122
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Endocrine and Autonomic Systems 149
  • Pediatrics, Perinatology and Child Health 422
  • Genetics 547
  • Pathology and Forensic Medicine 324
Replace Lynne L. Levitsky with:
Lynne L. Levitsky United States
Jeffrey M P Holly United Kingdom
Mary Ann Emanuele United States
Kalliopi Kotsa Greece
C.R.W. Edwards United Kingdom
Ayhan Abacı Türkiye
Jerald C. Nelson United States
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Nuala Murphy relative to Lynne L. Levitsky United States Lynne L. Levitsky's profile →
Citations per field
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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 2006142
2 2004132
3 2003115
4 2010110
5 1998101
6 2002100
7 200296
8 201883
9 200483
10 200979
11 198377
12 200468
13 199868
14 201565
15 201262
16 199160
17 200458
18 201855
19 200954
20 201254

About Nuala Murphy

Nuala Murphy is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics and Surgery, having authored 81 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes Management and Research (15 papers), Diabetes and associated disorders (10 papers), Pancreatic function and diabetes (8 papers), Adolescent and Pediatric Healthcare (7 papers), Vitamin D Research Studies (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (6 papers) and Neonatal Health and Biochemistry (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Endocrine and Autonomic Systems (149 citations), Pediatrics, Perinatology and Child Health (422 citations), Genetics (547 citations) and Pathology and Forensic Medicine (324 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, Malachi J. McKenna and Eleanor J. Molloy. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Neurochemistry, The Journal of Pediatrics, Diabetes Care and Pediatric Diabetes.

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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