David Nolan

10.2k citations
148 papers · 7.3k · 2 hit papers · h-index 41

Impact in

Papers in

David Nolan

140 papers receiving 7.1k citations

David Nolan's Hit Papers

HLA-B*5701 Screening for Hypersensitivity to Abacavir 2008 · 1.2k citations
1.2k0+8+16Years since publication2505007501000

Peers

David Nolan
Comparison fields: 5 of 133
  • Virology 1.4k
  • Emergency Medicine 1.3k
  • Pharmacology 2.2k
  • Infectious Diseases 1.6k
  • Pharmacology 696
Replace Yong Huang with:
Yong Huang China
Samir K. Gupta United States
William Lewis United States
Cyril Mamotte Australia
Elizabeth Smith United States
Michael D. Roth United States
Mario Regazzi Italy
Paul Desmond Australia
Richard K. Sterling United States
Qing Ma United States
David Nolan relative to Yong Huang China Yong Huang's profile →
Citations per field
00.5×8.3×
Yong Huang · 1×
Citations per year

Countries citing papers authored by David Nolan

Since Specialization
Citations

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

Fields of papers citing papers by David Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1
HLA-B*5701 Screening for Hypersensitivity to Abacavir
Hit paper breakdown →
20081192
2
Association between presence of HLA-B*5701, HLA-DR7 , and HLA-DQ3 and hypersensitivity to HIV-1 reverse-transcriptase inhibitor abacavir
Hit paper breakdown →
20021004
3 2004332
4 2006289
5 2008249
6 2004234
7 2003213
8 2006208
9 2005154
10 2001135
11 2006106
12 2003103
13 200599
14 200595
15 200390
16 200185
17 200482
18 200376
19 201374
20 200369

About David Nolan

David Nolan is a scholar working on Emergency Medicine, Virology, Pharmacology, Infectious Diseases and Immunology, having authored 148 papers that have together received 7.3k indexed citations. Recurring topics across this work include HIV-related health complications and treatments (39 papers), HIV Research and Treatment (35 papers), HIV/AIDS drug development and treatment (25 papers), Drug-Induced Adverse Reactions (25 papers), Urticaria and Related Conditions (10 papers), Musculoskeletal pain and rehabilitation (9 papers), HIV/AIDS Research and Interventions (8 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Virology (1.4k citations), Emergency Medicine (1.3k citations), Pharmacology (2.2k citations), Infectious Diseases (1.6k citations) and Pharmacology (696 citations). David Nolan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include S. Mallal, Ian James, A. Martin, E. McKinnon, Elizabeth J. Phillips, Corey Moore, E. Hammond, Mina John, Silvana Gaudieri and Campbell S. Witt. Their work appears in journals such as AIDS, Antiviral Therapy, PLoS ONE, The Medical Journal of Australia and HIV 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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