John E. McKinnon

2.2k citations
34 papers · 554 · h-index 14

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions
    • COVID-19 Clinical Research Studies

Papers in

John E. McKinnon

30 papers receiving 533 citations

Peers

John E. McKinnon
Comparison fields: 5 of 74
  • Virology 77
  • Infectious Diseases 186
  • Cardiology and Cardiovascular Medicine 177
  • Emergency Medicine 22
  • Immunology 43
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Citations per field
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Citations per year

Countries citing papers authored by John E. McKinnon

Since Specialization
Citations

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

Fields of papers citing papers by John E. McKinnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. McKinnon. 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 E. McKinnon. The network helps show where John E. McKinnon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002186
2 200944
3 200529
4 201729
5 200929
6 202026
7 201521
8 200721
9 201521
10 201620
11 201118
12 200617
13 202214
14 201513
15 202310
16 202010
17 20218
18 20217
19 20215
20 20234

About John E. McKinnon

John E. McKinnon is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Immunology and Epidemiology, having authored 34 papers that have together received 554 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (8 papers), COVID-19 Clinical Research Studies (5 papers), HIV/AIDS Research and Interventions (4 papers), Cardiovascular Function and Risk Factors (3 papers), Pharmaceutical studies and practices (3 papers), Cardiac pacing and defibrillation studies (2 papers), HIV-related health complications and treatments (2 papers) and Biosimilars and Bioanalytical Methods (2 papers). The work is most often cited by research in Virology (77 citations), Infectious Diseases (186 citations), Cardiology and Cardiovascular Medicine (177 citations), Emergency Medicine (22 citations) and Immunology (43 citations). John E. McKinnon has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include David Nori, Peter A. McCullough, Scott Kaatz, Keisha R. Sandberg, Heather J. Shenkman, John W. Mellors, Susan Swindells, Kathleen Maksimowicz‐McKinnon, Timothy Wilkin and José Ramón Arribas. Their work appears in journals such as Open Forum Infectious Diseases, Antiviral Therapy, AIDS, Journal of Clinical Microbiology and Cell Discovery.

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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