Fiona Ryan

667 citations
19 papers · 253 · h-index 7

Impact in

Papers in

Fiona Ryan

16 papers receiving 244 citations

Peers

Fiona Ryan
Comparison fields: 5 of 39
  • Endocrinology, Diabetes and Metabolism 143
  • Neurology 37
  • Genetics 21
  • Epidemiology 50
  • Oncology 27
Replace Mirta Knoepfelmacher with:
Mirta Knoepfelmacher Brazil
Francesca Pigliaru Italy
Harit Buch United Kingdom
Nana Esi Kittah United States
Nurdan Gül Türkiye
B. Delemer France
Philippe Chanson France
Virginie Grouthier France
Elisa Verrua Italy
Alejandro Ayala United States
Fiona Ryan relative to Mirta Knoepfelmacher Brazil Mirta Knoepfelmacher's profile →
Citations per field
00.5×
Mirta Knoepfelmacher · 1×
Citations per year

Countries citing papers authored by Fiona Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200690
2 200951
3 201931
4 200822
5 201713
6 202212
7 20236
8 20145
9 20225
10 20095
11
Gh and Igf-1 Physiology in Childhood
20154
12 20083
13 20242
14 20211
15 20201
16 20141
17 20181
18 20250
19 20150

About Fiona Ryan

Fiona Ryan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Immunology and Surgery, having authored 19 papers that have together received 253 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (6 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Hypothalamic control of reproductive hormones (2 papers), Diabetes and associated disorders (2 papers), Adrenal Hormones and Disorders (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Hormonal Regulation and Hypertension (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (143 citations), Neurology (37 citations), Genetics (21 citations), Epidemiology (50 citations) and Oncology (27 citations). Fiona Ryan has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Brian Shine, John Wass, Justin Warner, Niki Karavitaki, Jayanth R. Arnold, Helen Turner, Elizabeth Crowne, Julian Hamilton‐Shield, Paul T. Christie and S. Gould. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Pediatric Diabetes, European Journal of Immunology and Lara D. Veeken.

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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