Steve Leeder

768 citations
12 papers · 593 · h-index 8

Impact in

Papers in

Steve Leeder

12 papers receiving 523 citations

Peers

Steve Leeder
Comparison fields: 5 of 111
  • Health, Toxicology and Mutagenesis 109
  • Organizational Behavior and Human Resource Management 62
  • Health 39
  • Speech and Hearing 29
  • Nutrition and Dietetics 67
Replace Ralph M. Schapira with:
Ralph M. Schapira United States
Charles G. Humble United States
Corina de Jong Netherlands
Patricia Bustos Chile
Marilyn Antoniak United Kingdom
Francisco Franco‐Marina Mexico
George Rhoads United States
Sara Farchi Italy
Obianuju B. Ozoh Nigeria
Nazmi Bilir Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Steve Leeder

Since Specialization
Citations

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

Fields of papers citing papers by Steve Leeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2007235
2 1979136
3 2007112
4 198552
5
Maximum expiratory flow-volume curves in children: changes with growth and individual variability.
197721
6 196512
7
Prevalence and predictors of dietary supplement use in an older Australian population.
19998
8 19847
9 19923
10 20103
11 20113
12 19781

About Steve Leeder

Steve Leeder is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Complementary and alternative medicine and Organic Chemistry, having authored 12 papers that have together received 593 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Cell Image Analysis Techniques (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Respiratory Support and Mechanisms (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Bioinformatics and Genomic Networks (1 paper), Employment and Welfare Studies (1 paper) and Morinda citrifolia extract uses (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (109 citations), Organizational Behavior and Human Resource Management (62 citations), Health (39 citations), Speech and Hearing (29 citations) and Nutrition and Dietetics (67 citations). Steve Leeder has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Shah Ebrahim, Srinath Reddy, Janet Voûte, Robert Beaglehole, A V Swan, A. E. Bennett, I. R. Cameron, C D Florey, Karen Webb and Wei Xuan. Their work appears in journals such as American Journal of Epidemiology, The Lancet, Journal of Allergy and Clinical Immunology, Leukemia & lymphoma and Community Health Studies.

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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