Jonathan Day

3.9k citations
71 papers · 2.6k indexed · h-index 26

Impact in

Papers in

    • Heparin-Induced Thrombocytopenia and Thrombosis 8
    • Kawasaki Disease and Coronary Complications 4
    • Platelet Disorders and Treatments 6
    • Blood Coagulation and Thrombosis Mechanisms 5

Jonathan Day

68 papers receiving 2.6k citations

Peers

Jonathan Day
Comparison fields: 5 of 133
  • Developmental Neuroscience 242
  • Neurology 325
  • Behavioral Neuroscience 125
  • Complementary and alternative medicine 285
  • Internal Medicine 116
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Day

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003368
2 1993338
3 2013205
4 2005179
5 2019135
6 1990103
7 199390
8 199171
9 200455
10 201452
11 201251
12 199648
13 199448
14 199146
15 200744
16 200141
17 199741
18 200240
19 199833
20 199932

About Jonathan Day

Jonathan Day is a scholar working on Surgery, Hematology, Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics, having authored 71 papers that have together received 2.6k indexed citations. Recurring topics across this work include Connective tissue disorders research (8 papers), Heparin-Induced Thrombocytopenia and Thrombosis (8 papers), Platelet Disorders and Treatments (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Kawasaki Disease and Coronary Complications (4 papers) and Clusterin in disease pathology (4 papers). The work is most often cited by research in Developmental Neuroscience (242 citations), Neurology (325 citations), Behavioral Neuroscience (125 citations), Complementary and alternative medicine (285 citations) and Internal Medicine (116 citations). Jonathan Day has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Nicholas J. Laping, Kenneth M. Taylor, Caleb E. Finch, Nancy R. Nichols, Steve A. Johnson, Brian J. Whipp, Harry B. Rossiter, R. Clive Landis, Caleb E. Finch and Malcolm H. Taylor. Their work appears in journals such as Biology of Reproduction, The Annals of Thoracic Surgery, Frontiers in Immunology, Neuroreport and Experimental 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.

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