Glenn Nardone
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Antimicrobial Resistance in Staphylococcus
- Viral Infections and Vectors
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
-
- Antifungal resistance and susceptibility 5
- Viral Infections and Vectors 3
- HIV/AIDS drug development and treatment 2
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- Lipid Membrane Structure and Behavior 3
- Co-authors
- Yun C. Chang (3 shared papers)Janyce A. Sugui (4 shared papers)Scott D. Kobayashi (1 shared paper)Christy L. Ventura (1 shared paper)Natalia Małachowa (1 shared paper)Frank R. DeLeo (1 shared paper)Mary Ann Robinson (1 shared paper)Carl H. Hammer (1 shared paper)
- Journals
- Scientific Reports (2 papers)Journal of Clinical Microbiology (2 papers)PLoS ONE (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesJapanBrazil
In The Last Decade
Glenn Nardone
26 papers receiving 903 citations
Peers
Comparison fields: 5 of 91
- Infectious Diseases 461
- Parasitology 74
- Virology 37
- Microbiology 46
- Immunology 134
Countries citing papers authored by Glenn Nardone
This map shows the geographic impact of Glenn Nardone'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 Glenn Nardone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn Nardone more than expected).
Fields of papers citing papers by Glenn Nardone
This network shows the impact of papers produced by Glenn Nardone. 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 Glenn Nardone. The network helps show where Glenn Nardone may publish in the future.
Co-authors
The 25 scholars most cited alongside Glenn Nardone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 182 | |
| 2 | 2010 | 174 | |
| 3 | 2009 | 65 | |
| 4 | 2013 | 58 | |
| 5 | 2007 | 57 | |
| 6 | 2012 | 39 | |
| 7 | 2010 | 36 | |
| 8 | 2007 | 35 | |
| 9 | 2020 | 29 | |
| 10 | 2020 | 28 | |
| 11 | 2007 | 28 | |
| 12 | 2020 | 25 | |
| 13 | 2009 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2015 | 19 | |
| 16 | 2023 | 18 | |
| 17 | 2017 | 13 | |
| 18 | 1990 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2015 | 9 |
About Glenn Nardone
Glenn Nardone is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Epidemiology and Plant Science, having authored 27 papers that have together received 915 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (5 papers), Fungal Infections and Studies (4 papers), Vector-borne infectious diseases (3 papers), Viral Infections and Vectors (3 papers), Mycotoxins in Agriculture and Food (3 papers), Lipid Membrane Structure and Behavior (3 papers), Malaria Research and Control (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Infectious Diseases (461 citations), Parasitology (74 citations), Virology (37 citations), Microbiology (46 citations) and Immunology (134 citations). Glenn Nardone has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Yun C. Chang, Janyce A. Sugui, Scott D. Kobayashi, Christy L. Ventura, Natalia Małachowa, Frank R. DeLeo, Mary Ann Robinson, Carl H. Hammer, Kyung J. Kwon‐Chung and Eri Hayakawa. Their work appears in journals such as Scientific Reports, Journal of Clinical Microbiology, PLoS ONE, Journal of Biological Chemistry and Nature Communications.
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.