John Earl
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Transplantation top 5%
Papers in
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- Neonatal Health and Biochemistry 3
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- Metabolism and Genetic Disorders 9
- Co-authors
- Christa E. Nath (22 shared papers)Peter J. Shaw (18 shared papers)Andrew J. McLachlan (12 shared papers)Carlos A. DiazGranados (1 shared paper)John J. Treanor (1 shared paper)Michael D. Decker (1 shared paper)Daniel Kirby (1 shared paper)H. Keipp Talbot (1 shared paper)
- Journals
- British Journal of Clinical Pharmacology (7 papers)Biomedical Chromatography (5 papers)Anaesthesia and Intensive Care (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)Developmental Medicine & Child Neurology (3 papers)
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
John Earl
57 papers receiving 2.0k citations
John Earl's Hit Papers
Peers
Comparison fields: 5 of 134
- Clinical Biochemistry 174
- Transplantation 48
- Epidemiology 589
- Biological Psychiatry 43
- Hematology 153
Countries citing papers authored by John Earl
This map shows the geographic impact of John Earl'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 John Earl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Earl more than expected).
Fields of papers citing papers by John Earl
This network shows the impact of papers produced by John Earl. 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 John Earl. The network helps show where John Earl may publish in the future.
Co-authors
The 25 scholars most cited alongside John Earl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficacy of High-Dose versus Standard-Dose Influenza Vaccine in Older Adults Hit paper breakdown → | 2014 | 557 |
| 2 | 1988 | 136 | |
| 3 | 2006 | 77 | |
| 4 | 2009 | 72 | |
| 5 | 2016 | 70 | |
| 6 | 2010 | 62 | |
| 7 | 2010 | 58 | |
| 8 | 2002 | 50 | |
| 9 | 2002 | 49 | |
| 10 | 2016 | 42 | |
| 11 | 2010 | 39 | |
| 12 | 1987 | 39 | |
| 13 | 1999 | 37 | |
| 14 | 2008 | 35 | |
| 15 | 2004 | 34 | |
| 16 | 1990 | 34 | |
| 17 | 2005 | 34 | |
| 18 | 2014 | 33 | |
| 19 | 2003 | 33 | |
| 20 | 2015 | 30 |
About John Earl
John Earl is a scholar working on Pediatrics, Perinatology and Child Health, Clinical Biochemistry, Oncology, Epidemiology and Molecular Biology, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (9 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Neonatal Health and Biochemistry (3 papers), Folate and B Vitamins Research (3 papers) and Antifungal resistance and susceptibility (3 papers). The work is most often cited by research in Clinical Biochemistry (174 citations), Transplantation (48 citations), Epidemiology (589 citations), Biological Psychiatry (43 citations) and Hematology (153 citations). John Earl has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Christa E. Nath, Peter J. Shaw, Andrew J. McLachlan, Carlos A. DiazGranados, John J. Treanor, Michael D. Decker, Daniel Kirby, H. Keipp Talbot, Sanjay Gurunathan and Nadia Tornieporth. Their work appears in journals such as British Journal of Clinical Pharmacology, Biomedical Chromatography, Anaesthesia and Intensive Care, Antimicrobial Agents and Chemotherapy and Developmental Medicine & Child Neurology.
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.