David C. Nickle
- Virology top 0.1%
- HIV Research and Treatment 39
- Infectious Diseases top 0.5%
- HIV/AIDS drug development and treatment 20
- HIV/AIDS Research and Interventions 13
- Immunology top 2%
- Clinical Biochemistry top 2%
- Epidemiology top 2%
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- Chronic Obstructive Pulmonary Disease (COPD) Research 13
- Neonatal Respiratory Health Research 8
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- vaccines and immunoinformatics approaches 12
- Genomics and Phylogenetic Studies 8
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- Pediatric health and respiratory diseases 7
- Co-authors
- James I. MullinsDaniel ShrinerMark A. JensenGerald H. LearnS. Arunmozhi BalajeeKieren A. MarrWenjie DengLaura Heath
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
David C. Nickle
93 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 144
- Virology 2.6k
- Infectious Diseases 2.3k
- Immunology 1.0k
- Clinical Biochemistry 224
- Epidemiology 1.1k
Countries citing papers authored by David C. Nickle
This map shows the geographic impact of David C. Nickle'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 C. Nickle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Nickle more than expected).
Fields of papers citing papers by David C. Nickle
This network shows the impact of papers produced by David C. Nickle. 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 C. Nickle. The network helps show where David C. Nickle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David C. Nickle, 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 | 2023 | 28 | |
| 3 | 2021 | 31 | |
| 4 | 2020 | 108 | |
| 5 | 2020 | 10 | |
| 6 | 2017 | 34 | |
| 7 | 2016 | 43 | |
| 8 | 2016 | 2 | |
| 9 | 2015 | 26 | |
| 10 | 2014 | 14 | |
| 11 | 2014 | 33 | |
| 12 | 2013 | 18 | |
| 13 | 2011 | 13 | |
| 14 | 2008 | 44 | |
| 15 | 2007 | 52 | |
| 16 | 2005 | 307 | |
| 17 | The report by Martin Markowitz and colleagues | 2005 | 1 |
| 18 | 2004 | 156 | |
| 19 | 2004 | 13 | |
| 20 | 2003 | 37 |
About David C. Nickle
David C. Nickle is a scholar working on Virology, Infectious Diseases, Emergency Medical Services, Hepatology and Pulmonary and Respiratory Medicine, having authored 96 papers that have together received 5.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (39 papers), HIV/AIDS drug development and treatment (20 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers), HIV/AIDS Research and Interventions (13 papers), vaccines and immunoinformatics approaches (12 papers), Genomics and Phylogenetic Studies (8 papers), Neonatal Respiratory Health Research (8 papers) and Pediatric health and respiratory diseases (7 papers). The work is most often cited by research in Virology (2.6k citations), Infectious Diseases (2.3k citations), Immunology (1.0k citations), Clinical Biochemistry (224 citations) and Epidemiology (1.1k citations). David C. Nickle has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include James I. Mullins, Daniel Shriner, Mark A. Jensen, Gerald H. Learn, S. Arunmozhi Balajee, Kieren A. Marr, Wenjie Deng, Laura Heath, Morgane Rolland and Lawrence Corey. Their work appears in journals such as Journal of Virology, PLoS ONE, Scientific Reports, Clinical Infectious Diseases and Eukaryotic Cell.
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.