N. Shaw

2.4k citations
57 papers · 1.5k indexed · h-index 25

N. Shaw

56 papers receiving 1.4k citations

Peers

N. Shaw
Comparison fields: 5 of 129
  • Endocrinology, Diabetes and Metabolism 348
  • Nephrology 128
  • Pediatrics, Perinatology and Child Health 221
  • Genetics 310
  • Pulmonary and Respiratory Medicine 303
Replace Betty Wong with:
Betty Wong Canada
Francesça Chiaffarino Italy
Assimina Galli‐Τsinopoulou Greece
John B. Dossetor Canada
Hye Won Jang South Korea
Mainak Banerjee India
G Giuffrida Italy
Paola Saracco Italy
Didier Chevenne France
Shun‐Jen Chang Taiwan
N. Shaw relative to Betty Wong Canada Betty Wong's profile →
Citations per field
00.5×1.5×1.9×
Betty Wong · 1×
Citations per year

Countries citing papers authored by N. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by N. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202259
3
X-linked hypophosphataemia: burden of disease using United Kingdom primary care data
20182
4
X-LINKED HYPOPHOSPHATAEMIA: BURDEN OF DISEASE USING UK PRIMARY CARE DATA
20181
5 20187
6 201413
7 201265
8 201129
9 201025
10 20098
11
Extent of reflective entries in ST1 pilot e-portfolios in Mersey Deanery.
20081
12 200618
13 200562
14 20035
15 200315
16 200380
17 199741
18 199322
19 199162
20 198522

About N. Shaw

N. Shaw is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Orthopedics and Sports Medicine, Genetics and Pediatrics, Perinatology and Child Health, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Cystic Fibrosis Research Advances (6 papers), Genetic Syndromes and Imprinting (5 papers), Parathyroid Disorders and Treatments (4 papers), Diabetes and associated disorders (4 papers), Bone health and osteoporosis research (4 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Congenital Diaphragmatic Hernia Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (348 citations), Nephrology (128 citations), Pediatrics, Perinatology and Child Health (221 citations), Genetics (310 citations) and Pulmonary and Respiratory Medicine (303 citations). N. Shaw has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Michael W. Beresford, J T Brocklebank, Chris White, L Rosenbloom, W.D. Fraser, Jeremy Kirk, D. Peckham, P R Dear, C. Etherington and Paul Carroll. Their work appears in journals such as Archives of Disease in Childhood, Clinical Endocrinology, Osteoporosis International, Journal of Cystic Fibrosis and The Journal of Clinical Endocrinology & Metabolism.

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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