Phillip J. Read

108 papers receiving 2.8k citations

Phillip J. Read's Hit Papers

Population-level effectiveness of rapid, targeted, high-coverage roll-out of HIV pre-exposure prophylaxis in men who have sex with men: the EPIC-NSW prospective cohort study 2018 · 295 citations
2950+2+5Years since publication50100150200250

Peers

Phillip J. Read
Comparison fields: 5 of 93
  • Hepatology 1.0k
  • Microbiology 441
  • Infectious Diseases 714
  • Epidemiology 797
  • Virology 113
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Charles Bradley Hare United States
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Citations per field
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Citations per year

Countries citing papers authored by Phillip J. Read

Since Specialization
Citations

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

Fields of papers citing papers by Phillip J. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip J. Read. 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 Phillip J. Read. The network helps show where Phillip J. Read may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Population-level effectiveness of rapid, targeted, high-coverage roll-out of HIV pre-exposure prophylaxis in men who have sex with men: the EPIC-NSW prospective cohort study
Hit paper breakdown →
2018295
2 2018233
3 2015135
4 2017128
5 2009120
6 201486
7 202179
8 201777
9 201574
10 201974
11 201271
12 201270
13 201864
14 202063
15 201962
16 201959
17 202056
18 201252
19 201350
20 201550

About Phillip J. Read

Phillip J. Read is a scholar working on Hepatology, Microbiology, Infectious Diseases, Epidemiology and Virology, having authored 117 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hepatitis C virus research (35 papers), Reproductive tract infections research (21 papers), HIV/AIDS Research and Interventions (13 papers), HIV, Drug Use, Sexual Risk (13 papers), Syphilis Diagnosis and Treatment (12 papers), Hepatitis B Virus Studies (9 papers), Liver Disease Diagnosis and Treatment (8 papers) and Sex work and related issues (5 papers). The work is most often cited by research in Hepatology (1.0k citations), Microbiology (441 citations), Infectious Diseases (714 citations), Epidemiology (797 citations) and Virology (113 citations). Phillip J. Read has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Anna M. McNulty, Basil J Donovan, Gregory J. Dore, Christopher Bourne, Rebecca Guy, Christopher Kincaid Fairley, Eric P. F. Chow, Karen J. Chronister, David M. Whiley and David James Templeton. Their work appears in journals such as Sexual Health, International Journal of Drug Policy, Clinical Infectious Diseases, Drug and Alcohol Review and Sexually Transmitted Infections.

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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