John Earl

58 papers receiving 2.1k citations

John Earl's Hit Papers

Efficacy of High-Dose versus Standard-Dose Influenza Vaccine in Older Adults 2014 · 588 citations
5880+4+8Years since publication100200300400500

Peers

John Earl
Comparison fields: 5 of 135
  • Clinical Biochemistry 192
  • Epidemiology 645
  • Biological Psychiatry 47
  • Transplantation 50
  • Infectious Diseases 295
Replace Thomas Perkmann with:
Thomas Perkmann Austria
Gerald Y. Minuk Canada
Anna Wolf Germany
Marco Casciaro Italy
Kenneth J. Simpson United Kingdom
Can Li China
Keum Hwa Lee South Korea
Antonius E. van Herwaarden Netherlands
Bertrand Nalpas France
Uta Merle Germany
John Earl relative to Thomas Perkmann Austria Thomas Perkmann's profile →
Citations per field
00.5×3.4×
Thomas Perkmann · 1×
Citations per year

Countries citing papers authored by John Earl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John Earl Line = papers co-authored together John Earl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 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 →
2014588
2 1988149
3 200687
4 200976
5 201675
6 201068
7 201060
8 200255
9 200253
10 199948
11 201045
12 201644
13 198741
14 201438
15 199037
16 200436
17 200136
18 200835
19 200534
20 200334

About John Earl

John Earl is a scholar working on Pediatrics, Perinatology and Child Health, Clinical Biochemistry, Molecular Biology, Oncology and Epidemiology, having authored 61 papers that have together received 2.2k 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 (192 citations), Epidemiology (645 citations), Biological Psychiatry (47 citations), Transplantation (50 citations) and Infectious Diseases (295 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, Daniel Kirby, Murray Kimmel, Nadia Tornieporth, Andrew J. Dunning, Victoria Landolfi, Carlos A. DiazGranados and Richard Nathan. Their work appears in journals such as British Journal of Clinical Pharmacology, Biomedical Chromatography, Developmental Medicine & Child Neurology, Antimicrobial Agents and Chemotherapy and Anaesthesia and Intensive Care.

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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