Diarmuid Smith
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Surgery top 10%
- Epidemiology
- Co-authors
- Colin DavenportC. J. ThompsonChristopher J. ThompsonAmar AghaRachel CrowleyHannah FordeWilliam TormeyPhilip M. Cummins
- Topics
- Bone Metabolism and Diseases (15 papers)Pituitary Gland Disorders and Treatments (14 papers)Growth Hormone and Insulin-like Growth Factors (13 papers)
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
Diarmuid Smith
90 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 839
- Molecular Biology 405
- Pulmonary and Respiratory Medicine 387
- Surgery 355
- Epidemiology 213
Countries citing papers authored by Diarmuid Smith
This map shows the geographic impact of Diarmuid Smith'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 Diarmuid Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diarmuid Smith more than expected).
Fields of papers citing papers by Diarmuid Smith
This network shows the impact of papers produced by Diarmuid Smith. 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 Diarmuid Smith. The network helps show where Diarmuid Smith may publish in the future.
Co-authorship network of co-authors of Diarmuid Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Diarmuid Smith. A scholar is included among the top collaborators of Diarmuid Smith 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 Diarmuid Smith. Diarmuid Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 16 | |
| 7 | 11 | |
| 8 | 32 | |
| 9 | 6 | |
| 10 | 116 | |
| 11 | 18 | |
| 12 | Hyponatraemia in aneurysmal subarachnoid haemorrhage is due to the syndrome of inappropriate antidiuresis and acute glucocorticoid deficiency | 3 |
| 13 | 12 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 8 | |
| 17 | 15 | |
| 18 | 76 | |
| 19 | 33 | |
| 20 | 7 |
About Diarmuid Smith
Diarmuid Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Orthopedics and Sports Medicine, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (15 papers), Pituitary Gland Disorders and Treatments (14 papers) and Growth Hormone and Insulin-like Growth Factors (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (839 citations), Nephrology (142 citations) and Orthopedics and Sports Medicine (130 citations). Diarmuid Smith has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Colin Davenport, C. J. Thompson, Christopher J. Thompson, Amar Agha, Rachel Crowley, Hannah Forde, William Tormey, Philip M. Cummins, Emma Harper and Séamus Sreenan. Their work appears in journals such as New England Journal of Medicine, PLoS ONE 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.