John Earl

57 papers receiving 2.0k citations

Hit Papers

Efficacy of High-Dose versus Standard-Dose Influenza Vaccine in Older Adults 2014 · 549 citations
5490+4+8Years since publication100200300400500

Peers

John Earl
Comparison fields: 5 of 136
  • Clinical Biochemistry 185
  • Epidemiology 644
  • Transplantation 49
  • Biological Psychiatry 44
  • Infectious Diseases 306
Replace Hélène C. F. Côté with:
Hélène C. F. Côté Canada
Gerald Y. Minuk Canada
Ken R. Bracke Belgium
Keum Hwa Lee South Korea
Anna Wolf Germany
Karen E. Welty‐Wolf United States
R. Poledne Czechia
A. Rubbert Germany
James P. Hamilton United States
Nicolas von Ahsen Germany
John Earl relative to Hélène C. F. Côté Canada Hélène C. F. Côté's profile →
Citations per field
00.5×3.5×
Hélène C. F. Côté · 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 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 →
2014549
2 1988136
3 200675
4 200972
5 201669
6 201062
7 201057
8 200249
9 200248
10 201641
11 201039
12 198739
13 199937
14 200835
15 200334
16 200434
17 200534
18 199034
19 201433
20 200129

About John Earl

John Earl is a scholar working on Pediatrics, Perinatology and Child Health, Clinical Biochemistry, Molecular Biology, Pharmacology and Oncology, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (10 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Antifungal resistance and susceptibility (5 papers), Pharmaceutical studies and practices (4 papers), Multiple Myeloma Research and Treatments (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Clinical Biochemistry (185 citations), Epidemiology (644 citations), Transplantation (49 citations), Biological Psychiatry (44 citations) and Infectious Diseases (306 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, David P. Greenberg, Michael D. Decker, Richard Pollak, Richard Nathan, Murray Kimmel, Carlos A. DiazGranados and Nadia Tornieporth. 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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