John Ayuk

3.4k citations
69 papers · 2.2k · h-index 24

Impact in

    • Pituitary Gland Disorders and Treatments
    • Growth Hormone and Insulin-like Growth Factors
    • Adrenal Hormones and Disorders
    • Hormonal Regulation and Hypertension
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

John Ayuk

64 papers receiving 2.2k citations

Peers

John Ayuk
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Genetics 274
  • Surgery 768
  • Epidemiology 369
  • Neurology 152
Replace Antonella Giampietro with:
Antonella Giampietro Italy
Krzysztof Sworczak Poland
Luciana Ansaneli Naves Brazil
Filippo Ceccato Italy
Mireille Castanet France
Hugues Beauregard Canada
Marie Bex Belgium
Stefania Bonadonna Italy
Mara Carşote Romania
Rosa Maria Paragliola Italy
John Ayuk relative to Antonella Giampietro Italy Antonella Giampietro's profile →
Citations per field
00.5×1.5×1.8×
Antonella Giampietro · 1×
Citations per year

Countries citing papers authored by John Ayuk

Since Specialization
Citations

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

Fields of papers citing papers by John Ayuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010285
2 2004275
3 2004159
4 2009146
5 2012126
6 2006108
7 201485
8 200275
9 201764
10 201663
11 200759
12 200956
13 201554
14 200453
15 200345
16 201642
17 201137
18 200830
19 201330
20 201330

About John Ayuk

John Ayuk is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Genetics and Molecular Biology, having authored 69 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (42 papers), Growth Hormone and Insulin-like Growth Factors (29 papers), Adrenal and Paraganglionic Tumors (21 papers), Neuroendocrine Tumor Research Advances (10 papers), Glioma Diagnosis and Treatment (7 papers), Neuroblastoma Research and Treatments (5 papers), TGF-β signaling in diseases (4 papers) and Hormonal Regulation and Hypertension (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Genetics (274 citations), Surgery (768 citations), Epidemiology (369 citations) and Neurology (152 citations). John Ayuk has collaborated with scholars based in United Kingdom, Canada and Ireland. Frequent co-authors include Michael C. Sheppard, Paul M. Stewart, Neil Gittoes, Andrew Bates, Mark Sherlock, Aurora Aragón Alonso, Andrew Toogood, G Holder, Rosalind Mitchell and Richard N. Clayton. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Pituitary and Nature Reviews Endocrinology.

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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