D. Nolan

612 citations
11 papers · 371 · h-index 6

Impact in

Papers in

D. Nolan

11 papers receiving 355 citations

Peers

D. Nolan
Comparison fields: 5 of 46
  • Emergency Medicine 150
  • Hepatology 121
  • Virology 69
  • Infectious Diseases 166
  • Epidemiology 111
Replace Marc Antoine Valantin with:
Marc Antoine Valantin France
Guenther Schmutz Germany
Gema González‐Pardo Spain
Inmaculada Jiménez-Nàcher Spain
Barbara Menzaghi Italy
Ei Kinai Japan
Gregory Fusco United States
Ricky Hsu United States
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Citations per field
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Citations per year

Countries citing papers authored by D. Nolan

Since Specialization
Citations

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

Fields of papers citing papers by D. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2001194
2 2008114
3 201023
4 200718
5
Pharmacogenetics and clinical characteristics of patch test confirmed patients with Abacavir hypersensitivity
20065
6
Genetic factors predicting abacavir hypersensitivity and tolerance in HLA-B*5701 positive individuals
20085
7
Genetic factors predicting abacavir hypersensitivty and tolerance in HLA-B*5701 positive individuals: Combined analysis from PREDICT-1, SHAPE and a multinational study
20084
8
Light and electron microscopy findings in subcutaneous fat antiretroviral treated and HIV-infected patients
20003
9
Prospective genetic screening decreases the incidence of abacavir hypersensitivity reactions in the Western Australian HIV Cohort
20053
10
Pathogenesis of lipoatrophy: Analysis of tissue and plasma
20081
11
Factors influencing the outcome of major lower limb amputations.
19821

About D. Nolan

D. Nolan is a scholar working on Pharmacology, Emergency Medicine, Immunology, Molecular Biology and Hepatology, having authored 11 papers that have together received 371 indexed citations. Recurring topics across this work include Drug-Induced Adverse Reactions (4 papers), HIV-related health complications and treatments (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers), Hepatitis C virus research (2 papers), Dermatological and COVID-19 studies (1 paper), HIV/AIDS drug development and treatment (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Emergency Medicine (150 citations), Hepatology (121 citations), Virology (69 citations), Infectious Diseases (166 citations) and Epidemiology (111 citations). D. Nolan has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Ian James, S. Mallal, Corey Moore, Mina John, E. McKinnon, Silvana Gaudieri, Hansjakob Furrer, Andri Rauch, Lindsay Mollison and Michaela Lucas. Their work appears in journals such as AIDS, Hepatology, Antiviral Therapy, Murdoch Research Repository (Murdoch University) and PubMed.

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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