Diana Learoyd

4.3k citations
85 papers · 3.4k · h-index 32

Impact in

Papers in

Diana Learoyd

82 papers receiving 3.3k citations

Peers

Diana Learoyd
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Nephrology 211
  • Surgery 491
  • Physiology 212
  • Epidemiology 158
Replace Christine J. O’Neill with:
Christine J. O’Neill Australia
Jennifer A. Sipos United States
Donna Lowe United Kingdom
Kenko Cupisti Germany
Marco Aurélio Vamondes Kulcsar Brazil
Steven B. Miller United States
G Proud United Kingdom
Lucia Gagliardi Australia
Stanislava Koloušková Czechia
Nicole Sherry United States
Diana Learoyd relative to Christine J. O’Neill Australia Christine J. O’Neill's profile →
Citations per field
00.5×2×4×6×8×9.6×
Christine J. O’Neill · 1×
Citations per year

Countries citing papers authored by Diana Learoyd

Since Specialization
Citations

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

Fields of papers citing papers by Diana Learoyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005245
2 1996233
3 2011208
4 2016173
5 2003161
6 2009159
7 2008146
8 1995133
9 2010114
10 201489
11 201086
12 201076
13 201374
14 201267
15 201562
16
Germline and somatic mutations in an oncogene: RET mutations in inherited medullary thyroid carcinoma.
199658
17 199857
18 200554
19 200554
20 201053

About Diana Learoyd

Diana Learoyd is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Surgery, Epidemiology and Neurology, having authored 85 papers that have together received 3.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (58 papers), Parathyroid Disorders and Treatments (7 papers), Neuroendocrine Tumor Research Advances (7 papers), Adrenal and Paraganglionic Tumors (5 papers), Thyroid and Parathyroid Surgery (5 papers), Thyroid Disorders and Treatments (4 papers), Innovations in Medical Education (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Nephrology (211 citations), Surgery (491 citations), Physiology (212 citations) and Epidemiology (158 citations). Diana Learoyd has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Bruce G. Robinson, Leigh Delbridge, Mark S. Sywak, Stan B. Sidhu, Roderick John Clifton-Bligh, Anthony James Gill, Christine J. O’Neill, Marinella Messina, Scott D. Andrew and Stanley B. Sidhu. Their work appears in journals such as World Journal of Surgery, Clinical Endocrinology, Surgery, Annals of Surgical Oncology 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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