Daniel L. Tuttle
Impact in
- Virology top 1%
- HIV Research and Treatment
-
- Genetic Neurodegenerative Diseases
Papers in
- Virology 8
- HIV Research and Treatment 8
-
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 3
- Co-authors
- William A. Dunn (3 shared papers)Maureen M. Goodenow (8 shared papers)John W. Sleasman (7 shared papers)Maurice S. Swanson (3 shared papers)Jeffrey K. Harrison (2 shared papers)Andrew E. Aplin (1 shared paper)Wangcai Gao (2 shared papers)Laura P.W. Ranum (2 shared papers)
- Journals
- Journal of Virology (2 papers)Journal of Leukocyte Biology (2 papers)Journal of Cell Science (2 papers)AIDS Research and Human Retroviruses (2 papers)Immunology (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Daniel L. Tuttle
14 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 73
- Virology 423
- Cellular and Molecular Neuroscience 312
- Cell Biology 223
- Epidemiology 395
- Immunology 246
Countries citing papers authored by Daniel L. Tuttle
This map shows the geographic impact of Daniel L. Tuttle'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 L. Tuttle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Tuttle more than expected).
Fields of papers citing papers by Daniel L. Tuttle
This network shows the impact of papers produced by Daniel L. Tuttle. 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 L. Tuttle. The network helps show where Daniel L. Tuttle may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel L. Tuttle, 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 | 2010 | 278 | |
| 2 | 2009 | 231 | |
| 3 | 1995 | 200 | |
| 4 | 1998 | 187 | |
| 5 | 1992 | 166 | |
| 6 | 1997 | 117 | |
| 7 | 2000 | 107 | |
| 8 | 2002 | 64 | |
| 9 | 2005 | 58 | |
| 10 | 2003 | 50 | |
| 11 | 2005 | 35 | |
| 12 | 2003 | 22 | |
| 13 | 2004 | 18 | |
| 14 | 2010 | 4 |
About Daniel L. Tuttle
Daniel L. Tuttle is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers), Genetic Neurodegenerative Diseases (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV/AIDS drug development and treatment (3 papers), Autophagy in Disease and Therapy (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Virology (423 citations), Cellular and Molecular Neuroscience (312 citations), Cell Biology (223 citations), Epidemiology (395 citations) and Immunology (246 citations). Daniel L. Tuttle has collaborated with scholars based in United States and Switzerland. Frequent co-authors include William A. Dunn, Maureen M. Goodenow, John W. Sleasman, Maurice S. Swanson, Jeffrey K. Harrison, Andrew E. Aplin, Wangcai Gao, Laura P.W. Ranum, Randy S. Daughters and Timothy J. Ebner. Their work appears in journals such as Journal of Virology, Journal of Leukocyte Biology, Journal of Cell Science, AIDS Research and Human Retroviruses and Immunology.
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.