Peter E. Hickman

4.2k citations
129 papers · 3.1k indexed · h-index 33

Peter E. Hickman

125 papers receiving 3.0k citations

Peers

Peter E. Hickman
Comparison fields: 5 of 155
  • Cardiology and Cardiovascular Medicine 948
  • Statistics, Probability and Uncertainty 186
  • Endocrinology, Diabetes and Metabolism 427
  • Nephrology 171
  • Transplantation 60
Replace Martina Zaninotto with:
Martina Zaninotto Italy
Frank H. Wians United States
Marie Westwood United Kingdom
Andreas Huber Switzerland
Armin Koch Germany
William A. Bartlett United Kingdom
Anthony A. Killeen United States
Stephen Kaptoge United Kingdom
Paul M. Ridker United States
Tommaso Trenti Italy
Peter E. Hickman relative to Martina Zaninotto Italy Martina Zaninotto's profile →
Citations per field
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Martina Zaninotto · 1×
Citations per year

Countries citing papers authored by Peter E. Hickman

Since Specialization
Citations

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

Fields of papers citing papers by Peter E. Hickman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter E. Hickman. 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 Peter E. Hickman. The network helps show where Peter E. Hickman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 202212
5 20188
6
Neonatal umbilical cord blood cardiac troponin as reflecting fetal growth, age and well being
20151
7 20131
8 20131
9 20122
10 2012179
11 201210
12 20117
13 201055
14 200914
15
Automated measurement of unsaturated iron binding capacity allows a cost effective, ongoing strategy for screening for haemochromatosis
19983
16 199790
17 19924
18 199133
19 19892
20 198980

About Peter E. Hickman

Peter E. Hickman is a scholar working on Cardiology and Cardiovascular Medicine, Statistics, Probability and Uncertainty, Transplantation, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 129 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (31 papers), Clinical Laboratory Practices and Quality Control (14 papers), Cardiac Imaging and Diagnostics (12 papers), Heart Failure Treatment and Management (12 papers), Liver Disease and Transplantation (10 papers), Cardiac electrophysiology and arrhythmias (10 papers), Organ Transplantation Techniques and Outcomes (9 papers) and Liver Disease Diagnosis and Treatment (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (948 citations), Statistics, Probability and Uncertainty (186 citations), Endocrinology, Diabetes and Metabolism (427 citations), Nephrology (171 citations) and Transplantation (60 citations). Peter E. Hickman has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Julia M. Potter, Gus Koerbin, Brett McWhinney, Walter P. Abhayaratna, Emma Southcott, Greg Ward, Jillian R. Tate, Richard D. Telford, Tony Badrick and Michael S. Roberts. Their work appears in journals such as Clinical Biochemistry, Clinical Chemistry, Pathology, Clinica Chimica Acta and The Medical Journal of Australia.

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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