Dean T. Nardelli
Impact in
- Parasitology top 2%
- Vector-borne infectious diseases
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Dermatological diseases and infestations
Papers in
- Parasitology 16
- Vector-borne infectious diseases 16
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- Viral Infections and Vectors 8
- Dermatological diseases and infestations 5
- Co-authors
- Ronald F. Schell (20 shared papers)Steven M. Callister (16 shared papers)Thomas F. Warner (10 shared papers)Douglas M. England (3 shared papers)Matthew A. Burchill (2 shared papers)José Torrealba (5 shared papers)Erik Munson (6 shared papers)Joseph Kuo (3 shared papers)
- Journals
- Clinical and Vaccine Immunology (10 papers)Infection and Immunity (3 papers)Pathogens and Disease (2 papers)Future Microbiology (1 paper)Current Protocols in Cytometry (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Dean T. Nardelli
20 papers receiving 403 citations
Peers
Comparison fields: 5 of 45
- Parasitology 266
- Infectious Diseases 208
- Immunology 159
- Dermatology 30
- Hematology 20
Countries citing papers authored by Dean T. Nardelli
This map shows the geographic impact of Dean T. Nardelli'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 Dean T. Nardelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean T. Nardelli more than expected).
Fields of papers citing papers by Dean T. Nardelli
This network shows the impact of papers produced by Dean T. Nardelli. 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 Dean T. Nardelli. The network helps show where Dean T. Nardelli may publish in the future.
Co-authors
The 11 scholars most cited alongside Dean T. Nardelli, 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 | 2003 | 97 | |
| 2 | 2007 | 45 | |
| 3 | 2004 | 40 | |
| 4 | 2011 | 37 | |
| 5 | 2008 | 30 | |
| 6 | 2005 | 26 | |
| 7 | 2008 | 20 | |
| 8 | 2006 | 20 | |
| 9 | 2013 | 17 | |
| 10 | 2006 | 13 | |
| 11 | 2010 | 13 | |
| 12 | 2012 | 12 | |
| 13 | 2009 | 12 | |
| 14 | 2004 | 8 | |
| 15 | 2016 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2006 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2007 | 3 | |
| 20 | 2004 | 2 |
About Dean T. Nardelli
Dean T. Nardelli is a scholar working on Parasitology, Infectious Diseases, Immunology, Molecular Biology and Dermatology, having authored 20 papers that have together received 414 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (16 papers), Viral Infections and Vectors (8 papers), Dermatological diseases and infestations (5 papers), T-cell and B-cell Immunology (4 papers), Heat shock proteins research (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Dermatology and Skin Diseases (3 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Parasitology (266 citations), Infectious Diseases (208 citations), Immunology (159 citations), Dermatology (30 citations) and Hematology (20 citations). Dean T. Nardelli has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Ronald F. Schell, Steven M. Callister, Thomas F. Warner, Douglas M. England, Matthew A. Burchill, José Torrealba, Erik Munson, Joseph Kuo, Nicholas J. Kotloski and Michael W. Lawlor. Their work appears in journals such as Clinical and Vaccine Immunology, Infection and Immunity, Pathogens and Disease, Future Microbiology and Current Protocols in Cytometry.
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.