Johnny Millar

63 papers receiving 1.7k citations

Johnny Millar's Hit Papers

GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 2023 · 121 citations
1210+1+2Years since publication50100150200

Peers

Johnny Millar
Comparison fields: 5 of 106
  • Critical Care and Intensive Care Medicine 102
  • Emergency Medicine 159
  • Epidemiology 498
  • Infectious Diseases 219
  • Nephrology 68
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Dorothy Breen Ireland
Susannah K. Leaver Germany
Alexandre Tellechea Rotta United States
Vincent Peigne France
Mark W. Hall United States
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Olaf Boenisch Germany
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Countries citing papers authored by Johnny Millar

Since Specialization
Citations

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

Fields of papers citing papers by Johnny Millar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022228
2 2017162
3 2012151
4
GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Hit paper breakdown →
2023121
5 2020116
6 201689
7 201956
8 202356
9 201454
10 201550
11 202246
12 202136
13 201734
14 202229
15 201828
16 202026
17 201725
18 202124
19 202324
20 202423

About Johnny Millar

Johnny Millar is a scholar working on Epidemiology, Emergency Medicine, Critical Care and Intensive Care Medicine, Nephrology and Pulmonary and Respiratory Medicine, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (15 papers), Congenital Heart Disease Studies (11 papers), Cardiac Arrest and Resuscitation (6 papers), Mechanical Circulatory Support Devices (5 papers), Emergency and Acute Care Studies (4 papers), Respiratory Support and Mechanisms (4 papers), COVID-19 Clinical Research Studies (3 papers) and Hemodynamic Monitoring and Therapy (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (102 citations), Emergency Medicine (159 citations), Epidemiology (498 citations), Infectious Diseases (219 citations) and Nephrology (68 citations). Johnny Millar has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Warwick W. Butt, Christian Pierre Brizard, Yves d’Udekem, Luregn Jan Schlapbach, Igor E. Konstantinov, David V. Pilcher, Anthony Slater, Lahn D. Straney, Simon J. Erickson and Janet Alexander. Their work appears in journals such as Pediatric Critical Care Medicine, Critical Care and Resuscitation, The Medical Journal of Australia, Intensive Care Medicine and Critical Care Medicine.

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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