Diana Learoyd

4.2k total citations
77 papers, 2.7k citations indexed

About

Diana Learoyd is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Diana Learoyd has authored 77 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Endocrinology, Diabetes and Metabolism, 27 papers in Surgery and 16 papers in Molecular Biology. Recurrent topics in Diana Learoyd's work include Thyroid Cancer Diagnosis and Treatment (52 papers), Thyroid and Parathyroid Surgery (16 papers) and Neuroendocrine Tumor Research Advances (13 papers). Diana Learoyd is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (52 papers), Thyroid and Parathyroid Surgery (16 papers) and Neuroendocrine Tumor Research Advances (13 papers). Diana Learoyd collaborates with scholars based in Australia, United States and United Kingdom. Diana Learoyd's co-authors include Bruce G. Robinson, Leigh Delbridge, Mark Sywak, Stan B. Sidhu, Deborah J. Marsh, Roderick Clifton‐Bligh, Anthony J. Gill, Christine J. O’Neill, Marinella Messina and Charis Eng and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Clinical Cancer Research.

In The Last Decade

Diana Learoyd

73 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diana Learoyd Australia 30 1.9k 812 682 620 497 77 2.7k
Michael T. Stang United States 34 2.3k 1.2× 1.6k 2.0× 443 0.6× 486 0.8× 615 1.2× 81 3.4k
Sonia L. Sugg United States 29 816 0.4× 607 0.7× 833 1.2× 863 1.4× 389 0.8× 88 2.7k
Tamotsu Yokozawa Japan 25 1.6k 0.8× 992 1.2× 527 0.8× 331 0.5× 257 0.5× 46 2.2k
Guy Andry Belgium 29 700 0.4× 861 1.1× 729 1.1× 755 1.2× 197 0.4× 113 2.6k
William G. Dilley United States 21 1.1k 0.6× 544 0.7× 461 0.7× 636 1.0× 521 1.0× 40 2.1k
J R Farndon United Kingdom 24 481 0.3× 707 0.9× 474 0.7× 790 1.3× 426 0.9× 58 2.2k
Min Ji Jeon South Korea 36 3.2k 1.7× 1.6k 2.0× 455 0.7× 633 1.0× 517 1.0× 172 3.9k
Elham Khanafshar United States 21 973 0.5× 529 0.7× 292 0.4× 377 0.6× 330 0.7× 48 1.6k
Deborah Wenkert United States 22 514 0.3× 344 0.4× 596 0.9× 465 0.8× 368 0.7× 45 2.0k
David W. Donley United States 14 688 0.4× 511 0.6× 895 1.3× 1.1k 1.8× 273 0.5× 15 2.6k

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-authorship network of co-authors of Diana Learoyd

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Learoyd. A scholar is included among the top collaborators of Diana Learoyd based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diana Learoyd. Diana Learoyd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aniss, Ahmad, Anthony Glover, Stan B. Sidhu, et al.. (2023). Lobectomy and completion thyroidectomy rates increase after the 2015 American Thyroid Association Differentiated Thyroid Cancer Guidelines update. SHILAP Revista de lepidopterología. 3(1). e220095–e220095. 5 indexed citations
2.
3.
Chan, David, Jennifer Arena, Elizabeth J. Bernard, et al.. (2021). Life-threatening diarrhea in neuroendocrine tumors: two case reports. Journal of Medical Case Reports. 15(1). 542–542. 1 indexed citations
4.
Jonker, Pascal, Michelle Cunich, Stanley Sidhu, et al.. (2019). Surgery alone for papillary thyroid microcarcinoma is less costly and more effective than long term active surveillance. Surgery. 167(1). 110–116. 41 indexed citations
5.
Jonker, Pascal, Anton F. Engelsman, Schelto Kruijff, et al.. (2019). Early postoperative stimulated serum thyroglobulin quantifies risk of recurrence in papillary thyroid cancer. Surgery. 167(1). 40–45. 22 indexed citations
6.
Clifton‐Bligh, Roderick, Anthony J. Gill, Ahmad Aniss, et al.. (2017). Disease Progression in Papillary Thyroid Cancer with Biochemical Incomplete Response to Initial Therapy. Annals of Surgical Oncology. 24(9). 2611–2616. 12 indexed citations
7.
Chou, Angela, Sheila Fraser, Christopher W. Toon, et al.. (2014). A Detailed Clinicopathologic Study of ALK-translocated Papillary Thyroid Carcinoma. The American Journal of Surgical Pathology. 39(5). 652–659. 77 indexed citations
8.
Turner, Robin, Andrew Hayen, Ahmad Aniss, et al.. (2013). A Preoperative Nomogram for the Prediction of Ipsilateral Central Compartment Lymph Node Metastases in Papillary Thyroid Cancer. Thyroid. 24(4). 675–682. 71 indexed citations
9.
10.
Bullock, Martyn, Emma L. Duncan, Christine J. O’Neill, et al.. (2012). Association of FOXE1 Polyalanine Repeat Region with Papillary Thyroid Cancer. Queensland's institutional digital repository (The University of Queensland). 2 indexed citations
11.
Bullock, Martyn, Christine J. O’Neill, Angela Chou, et al.. (2012). Utilization of a MAB for BRAFV600E detection in papillary thyroid carcinoma. Endocrine Related Cancer. 19(6). 779–784. 61 indexed citations
12.
O’Neill, Christine J., Martyn Bullock, Angela Chou, et al.. (2010). BRAFV600E mutation is associated with an increased risk of nodal recurrence requiring reoperative surgery in patients with papillary thyroid cancer. Surgery. 148(6). 1139–1146. 77 indexed citations
13.
Learoyd, Diana & Bruce G. Robinson. (2007). Does genetic screening increase detection of familial medullary thyroid cancer in apparently sporadic cases?. Nature Clinical Practice Endocrinology & Metabolism. 4(3). 132–133.
14.
Cheung, Linda, Marinella Messina, Anthony J. Gill, et al.. (2003). Detection of the PAX8-PPARγ Fusion Oncogene in Both Follicular Thyroid Carcinomas and Adenomas. The Journal of Clinical Endocrinology & Metabolism. 88(1). 354–357. 152 indexed citations
15.
Messina, Marinella, et al.. (2000). High level, tissue-specific expression of a modified calcitonin/calcitonin gene-related peptide promoter in a human medullary thyroid carcinoma cell line. Molecular and Cellular Endocrinology. 164(1-2). 219–224. 18 indexed citations
16.
Learoyd, Diana, Stephen M. Twigg, Jan Zedenius, & Bruce G. Robinson. (1998). The Molecular Genetics of Endocrine Tumours. Journal of Pediatric Endocrinology and Metabolism. 11(2). 195–228. 4 indexed citations
17.
Learoyd, Diana. (1997). Genetic Testing for Familial Cancer. Archives of Surgery. 132(9). 1022–1022. 43 indexed citations
18.
Marsh, Deborah J., Diana Learoyd, Scott D. Andrew, et al.. (1996). Somatic mutations in the RET proto‐oncogene in sporadic medullary thyroid carcinoma. Clinical Endocrinology. 44(3). 249–257. 211 indexed citations
19.
Learoyd, Diana, Stephen M. Twigg, Deborah J. Marsh, & Bruce G. Robinson. (1995). The practical management of multiple endocrine neoplasia. Trends in Endocrinology and Metabolism. 6(8). 273–278. 12 indexed citations
20.
Learoyd, Diana & Aidan McElduff. (1990). Medroxyprogesterone induced Cushing's syndrome. Australian and New Zealand Journal of Medicine. 20(6). 824–825. 2 indexed citations

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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