Ali Danesh
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
Papers in
- Immunology 16
- Immune Cell Function and Interaction 7
- Immune Response and Inflammation 7
- T-cell and B-cell Immunology 4
- interferon and immune responses 4
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- HIV/AIDS Research and Interventions 4
- Co-authors
- David J. Kelvin (21 shared papers)Mark J. Cameron (11 shared papers)Jesús F. Bermejo-Martín (4 shared papers)Philip J. Norris (12 shared papers)Matthew Muller (1 shared paper)Heather C. Inglis (8 shared papers)Xutao Deng (6 shared papers)Luoling Xu (7 shared papers)
- Journals
- Journal of Virology (4 papers)Transfusion (3 papers)Blood (2 papers)The Journal of Infectious Diseases (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Ali Danesh
41 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Virology 362
- Infectious Diseases 581
- Immunology 559
- Epidemiology 385
- Biochemistry 69
Countries citing papers authored by Ali Danesh
This map shows the geographic impact of Ali Danesh'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 Ali Danesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Danesh more than expected).
Fields of papers citing papers by Ali Danesh
This network shows the impact of papers produced by Ali Danesh. 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 Ali Danesh. The network helps show where Ali Danesh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Danesh, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 294 | |
| 2 | 2007 | 216 | |
| 3 | 2013 | 196 | |
| 4 | 2008 | 155 | |
| 5 | 2011 | 140 | |
| 6 | 2010 | 89 | |
| 7 | 2015 | 69 | |
| 8 | 2016 | 67 | |
| 9 | 2012 | 55 | |
| 10 | 2005 | 52 | |
| 11 | 2010 | 46 | |
| 12 | 2007 | 43 | |
| 13 | 2005 | 42 | |
| 14 | 2012 | 39 | |
| 15 | 2005 | 35 | |
| 16 | 2008 | 34 | |
| 17 | 2016 | 33 | |
| 18 | 2010 | 30 | |
| 19 | 2015 | 27 | |
| 20 | 2018 | 25 |
About Ali Danesh
Ali Danesh is a scholar working on Immunology, Infectious Diseases, Virology, Molecular Biology and Epidemiology, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Immune Cell Function and Interaction (7 papers), Immune Response and Inflammation (7 papers), Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (5 papers), T-cell and B-cell Immunology (4 papers), interferon and immune responses (4 papers) and HIV/AIDS Research and Interventions (4 papers). The work is most often cited by research in Virology (362 citations), Infectious Diseases (581 citations), Immunology (559 citations), Epidemiology (385 citations) and Biochemistry (69 citations). Ali Danesh has collaborated with scholars based in United States, Canada and China. Frequent co-authors include David J. Kelvin, Mark J. Cameron, Jesús F. Bermejo-Martín, Philip J. Norris, Matthew Muller, Heather C. Inglis, Xutao Deng, Luoling Xu, John W. Heitman and Marcus O. Muench. Their work appears in journals such as Journal of Virology, Transfusion, Blood, The Journal of Infectious Diseases and The Journal of 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.