Phillip Hay

7.5k citations
116 papers · 4.3k indexed · 1 hit paper · h-index 34

Impact in

  • Microbiology top 0.1%
    • Reproductive tract infections research
  • Virology top 1%
    • HIV Research and Treatment

Papers in

Phillip Hay

114 papers receiving 4.1k citations

Hit Papers

HLA-B*5701 Screening for Hypersensitivity to Abacavir 2008 · 1.2k citations
1.2k20082026201420202505007501000

Peers

Phillip Hay
Comparison fields: 5 of 120
  • Microbiology 2.0k
  • Virology 472
  • Epidemiology 1.6k
  • Infectious Diseases 805
  • Pharmacology 350
Replace Beverly E. Sha with:
Beverly E. Sha United States
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Phillip Hay relative to Beverly E. Sha United States Beverly E. Sha's profile →
Citations per field
00.5×11.3×
Beverly E. Sha · 1×
Citations per year

Countries citing papers authored by Phillip Hay

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20148
2 20126
3 20127
4 201241
5 20087
6 20089
7 200842
8 200818
9 200646
10 200657
11 200621
12 200458
13 200444
14 20031
15 200049
16 2000109
17 199825
18 199821
19 199824
20 199260

About Phillip Hay

Phillip Hay is a scholar working on Microbiology, Virology, Epidemiology, Infectious Diseases and Rheumatology, having authored 116 papers that have together received 4.3k indexed citations. Recurring topics across this work include Reproductive tract infections research (77 papers), Urinary Tract Infections Management (37 papers), Syphilis Diagnosis and Treatment (23 papers), HIV/AIDS drug development and treatment (16 papers), Adolescent Sexual and Reproductive Health (16 papers), HIV Research and Treatment (16 papers), HIV/AIDS Research and Interventions (16 papers) and Cervical Cancer and HPV Research (14 papers). The work is most often cited by research in Microbiology (2.0k citations), Virology (472 citations), Epidemiology (1.6k citations), Infectious Diseases (805 citations) and Pharmacology (350 citations). Phillip Hay has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include D Taylor‐Robinson, Pippa Oakeshott, Austin Ugwumadu, Fiona Reid, Isaac Manyonda, Janez Tomažič, Sorin Rugină, Elizabeth J. Phillips, Sara Hughes and Arlene R. Hughes. Their work appears in journals such as Sexually Transmitted Infections, International Journal of STD & AIDS, BJOG An International Journal of Obstetrics & Gynaecology, Clinical Infectious Diseases and Current Opinion in Infectious Diseases.

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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