Daniel D. Murray
- Virology top 5%
- HIV Research and Treatment 11
- Ecological Modeling top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation 4
- Ecology top 5%
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 6
- RNA Interference and Gene Delivery 3
- Gut microbiota and health 3
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- HIV-related health complications and treatments 7
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- Cytomegalovirus and herpesvirus research 4
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- Immune Cell Function and Interaction 3
- Co-authors
- Anthony D. KelleherKazuo SuzukiJonel TrebickaSean EmeryMatthew LawMargaret JohnsonMichael J. VjechaDeborah Wentworth
- Partner nations
- DenmarkAustraliaUnited States
In The Last Decade
Daniel D. Murray
30 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Virology 142
- Ecological Modeling 68
- Cancer Research 226
- Ecology 300
- Molecular Biology 760
Countries citing papers authored by Daniel D. Murray
This map shows the geographic impact of Daniel D. Murray'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 Daniel D. Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Murray more than expected).
Fields of papers citing papers by Daniel D. Murray
This network shows the impact of papers produced by Daniel D. Murray. 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 Daniel D. Murray. The network helps show where Daniel D. Murray may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel D. Murray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 22 | |
| 15 | 2019 | 7 | |
| 16 | 2017 | 25 | |
| 17 | Circulating microRNAs in Sera Correlate with Soluble Biomarkers of Immune Activation but Do Not Predict Mortality in ART Treated Individuals with HIV-1 Infection: A Case Control Studybreakdown → | 2015 | 2528 |
| 18 | 2012 | 31 | |
| 19 | 2012 | 130 | |
| 20 | 2011 | 38 |
About Daniel D. Murray
Daniel D. Murray is a scholar working on Virology, Emergency Medicine, Family Practice, Critical Care and Intensive Care Medicine and Transplantation, having authored 35 papers that have together received 3.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), HIV-related health complications and treatments (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), MicroRNA in disease regulation (4 papers), Cytomegalovirus and herpesvirus research (4 papers), RNA Interference and Gene Delivery (3 papers), Gut microbiota and health (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Virology (142 citations), Ecological Modeling (68 citations), Cancer Research (226 citations), Ecology (300 citations) and Molecular Biology (760 citations). Daniel D. Murray has collaborated with scholars based in Denmark, Australia and United States. Frequent co-authors include Anthony D. Kelleher, Kazuo Suzuki, Jonel Trebicka, Sean Emery, Matthew Law, Margaret Johnson, Michael J. Vjecha, Deborah Wentworth, Sanjay Swaminathan and Theis Skovsgaard Itenov. Their work appears in journals such as AIDS, Open Forum Infectious Diseases, Scientific Reports, Frontiers in Immunology and Neurosurgical Review.
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.