David C. Nickle

14.6k citations
97 papers · 5.5k · h-index 39

Impact in

  • Virology top 0.1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions
    • Antifungal resistance and susceptibility

Papers in

    • HIV Research and Treatment 37
    • vaccines and immunoinformatics approaches 10
    • Genomics and Phylogenetic Studies 8

David C. Nickle

94 papers receiving 5.4k citations

Peers

David C. Nickle
Comparison fields: 5 of 142
  • Virology 2.5k
  • Infectious Diseases 2.0k
  • Immunology 889
  • Clinical Biochemistry 225
  • Epidemiology 1.0k
Replace Andrew Lever with:
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Citations per field
00.5×4.8×
Andrew Lever · 1×
Citations per year

Countries citing papers authored by David C. Nickle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with David C. Nickle Line = papers co-authored together David C. Nickle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008446
2 2003359
3 2005340
4 2002258
5 2007209
6 2007187
7 2006171
8 1996162
9 2010162
10 2004159
11 1998157
12 2007151
13 2004123
14 2003123
15 2020116
16 2005106
17 2006101
18 200388
19 200688
20 200784

About David C. Nickle

David C. Nickle is a scholar working on Virology, Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology, having authored 97 papers that have together received 5.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (37 papers), HIV/AIDS drug development and treatment (15 papers), HIV/AIDS Research and Interventions (12 papers), vaccines and immunoinformatics approaches (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Genomics and Phylogenetic Studies (8 papers), Hepatitis C virus research (7 papers) and Asthma and respiratory diseases (6 papers). The work is most often cited by research in Virology (2.5k citations), Infectious Diseases (2.0k citations), Immunology (889 citations), Clinical Biochemistry (225 citations) and Epidemiology (1.0k 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 Brandon S. Maust. Their work appears in journals such as Journal of Virology, PLoS ONE, Scientific Reports, The Journal of Infectious Diseases and Thorax.

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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