P Adlard

1.0k citations
16 papers · 716 · h-index 12

Impact in

Papers in

P Adlard

15 papers receiving 696 citations

Peers

P Adlard
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 271
  • Neurology 91
  • Reproductive Medicine 76
  • Pediatrics, Perinatology and Child Health 115
  • Nephrology 42
Replace Ana Pinheiro Machado Canton with:
Ana Pinheiro Machado Canton Brazil
M. Yanagisawa Japan
H. Bode United States
Jianming Ba China
Jesper Gyllenborg Denmark
H Schedewie United States
Ediz Yeşilkaya Türkiye
O'Brien Pc United States
E. Martino Italy
Irene Martín‐Estal Mexico
P Adlard relative to Ana Pinheiro Machado Canton Brazil Ana Pinheiro Machado Canton's profile →
Citations per field
00.5×8.3×
Ana Pinheiro Machado Canton · 1×
Citations per year

Countries citing papers authored by P Adlard

Since Specialization
Citations

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

Fields of papers citing papers by P Adlard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2002210
2 199873
3 201773
4 198866
5 198864
6 201563
7 200347
8 201629
9 198828
10 198825
11 200721
12 198714
13
Early cognitive decline in Creutzfeldt-Jakob disease occurring in recipients of pituitary-derived human growth hormone
20021
14 19881
15 19881
16
Risk of cancer in patients treated with human pituitary growth hormone in the UK, 1959-85: A cohort study
20030

About P Adlard

P Adlard is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Rheumatology and Reproductive Medicine, having authored 16 papers that have together received 716 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Prion Diseases and Protein Misfolding (5 papers), Thyroid Disorders and Treatments (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Hypothalamic control of reproductive hormones (1 paper), Folate and B Vitamins Research (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (271 citations), Neurology (91 citations), Reproductive Medicine (76 citations), Pediatrics, Perinatology and Child Health (115 citations) and Nephrology (42 citations). P Adlard has collaborated with scholars based in United Kingdom, India and Italy. Frequent co-authors include Anthony J. Swerdlow, C Higgins, Michael A. Preece, C Chantler, Stephen A. Greene, Lesley Rees, G B Haycock, J. Jones, Michael Preece and Fabio Buzi. Their work appears in journals such as Clinical Endocrinology, Pediatric Research, Archives of Disease in Childhood, Acta Neuropathologica and Neurology.

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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