Calum Nicholson

19 papers receiving 110 citations

Peers

Calum Nicholson
Comparison fields: 5 of 34
  • Oncology 46
  • Epidemiology 37
  • Genetics 14
  • Emergency Medicine 3
  • Public Health, Environmental and Occupational Health 9
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Furaha Serventi Tanzania
Kathrin Thöne Germany
Claudia Uribe Colombia
Carlos Eduardo Mattos Cunha Andrade Brazil
Fatima Zahra Laamırı Morocco
Vanessa Msosa Malawi
Ali Manafi Iran
B Crossley United Kingdom
Tomoya Mizunoe Japan
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Citations per year

Countries citing papers authored by Calum Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by Calum Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199858
2 20227
3 20235
4 20215
5 20215
6 20224
7 20244
8 20233
9 20233
10 20193
11
Client satisfaction with the New Zealand National Poisons Information Service.
19983
12 20063
13 20242
14 20222
15 20231
16 20251
17 20221
18 20201
19 20221
20 20250

About Calum Nicholson

Calum Nicholson is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 21 papers that have together received 112 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (13 papers), Medical Coding and Health Information (2 papers), Coronary Artery Anomalies (2 papers), Cardiovascular Conditions and Treatments (2 papers), Accounting and Organizational Management (1 paper), Genomics and Rare Diseases (1 paper), Autopsy Techniques and Outcomes (1 paper) and Renal and Vascular Pathologies (1 paper). The work is most often cited by research in Oncology (46 citations), Epidemiology (37 citations), Genetics (14 citations), Emergency Medicine (3 citations) and Public Health, Environmental and Occupational Health (9 citations). Calum Nicholson has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include David S. Celermajer, W. C. Hunt, Jonathan M. Samet, Geoff Strange, Rachael Cordina, David W. Baker, Mark Hanly, Leeanne Grigg, Julian Ayer and Kurt Sartorius. Their work appears in journals such as Circulation Cardiovascular Quality and Outcomes, International Journal of Cardiology, American Journal of Epidemiology, Australian Health Review and Heart Lung and Circulation.

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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