Donald S.A. McLeod

4.2k citations
87 papers · 2.9k indexed · 3 hit papers · h-index 25
Topics
Thyroid Cancer Diagnosis and Treatment (25 papers)Vitamin D Research Studies (20 papers)Thyroid Disorders and Treatments (14 papers)

In The Last Decade

Donald S.A. McLeod

83 papers receiving 2.8k citations

Hit Papers

The incidence and prevalence of thyroid autoimmunity2012202620162021201220232022100200300400

Peers

Donald S.A. McLeod
Comparison fields: 5 of 130
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Pathology and Forensic Medicine 550
  • Surgery 476
  • Radiology, Nuclear Medicine and Imaging 419
  • Molecular Biology 417
Replace Bijay Vaidya with:
Bijay Vaidya United Kingdom
Klaus‐Martin Schulte Germany
M. Carol Greenlee United States
Edwin L. Kaplan United States
Eiji Nakashima Japan
Masazumi Akahoshi Japan
Raymon H. Grogan United States
Susan Manzi United States
Kristien Boelaert United Kingdom
Sun Wook Kim South Korea
Donald S.A. McLeod relative to Bijay Vaidya United Kingdom Bijay Vaidya's profile →
Citations per field
00.5×3.1×
Bijay Vaidya · 1×
Citations per year

Countries citing papers authored by Donald S.A. McLeod

Since Specialization
Citations

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

Fields of papers citing papers by Donald S.A. McLeod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald S.A. McLeod. 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 Donald S.A. McLeod. The network helps show where Donald S.A. McLeod may publish in the future.

Co-authorship network of co-authors of Donald S.A. McLeod

This figure shows the co-authorship network connecting the top 25 collaborators of Donald S.A. McLeod. A scholar is included among the top collaborators of Donald S.A. McLeod 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 Donald S.A. McLeod. Donald S.A. McLeod 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
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 9
6 3
7 3
8 5
9 0
10 10
11 7
12 19
13 4
14 3
15 13
16 29
17 43
18 103
19 19
20 50

About Donald S.A. McLeod

Donald S.A. McLeod is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Ophthalmology, having authored 87 papers that have together received 2.9k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (25 papers), Vitamin D Research Studies (20 papers) and Thyroid Disorders and Treatments (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Pathology and Forensic Medicine (550 citations) and Ophthalmology (265 citations). Donald S.A. McLeod has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include David S. Cooper, Paul Hiscott, Ian Grierson, Anna M. Sawka, Megan R. Haymart, Brian Hung‐Hin Lang, Debbie Chen, Kate Newbold, Paul W. Ladenson and David C. Whiteman. Their work appears in journals such as The Lancet, JAMA and Journal of Clinical Oncology.

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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