Danuta Stack
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
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- Antifungal resistance and susceptibility
Papers in
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- Toxin Mechanisms and Immunotoxins 3
- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 2
- Epidemiology 10
- Fungal Infections and Studies 8
- Nail Diseases and Treatments 2
- Co-authors
- Christopher H. Mody (14 shared papers)Shu Shun Li (9 shared papers)Richard F. Xiang (8 shared papers)Shaunna M. Huston (7 shared papers)Henry Ogbomo (7 shared papers)Anowara Islam (3 shared papers)Paul Oykhman (3 shared papers)Tania Santodomingo-Garzón (1 shared paper)
- Journals
- The Journal of Immunology (4 papers)mBio (1 paper)Infection and Immunity (1 paper)Journal of Leukocyte Biology (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Danuta Stack
14 papers receiving 397 citations
Peers
Comparison fields: 5 of 65
- Immunology 160
- Infectious Diseases 115
- Epidemiology 154
- Endocrinology 20
- Molecular Medicine 19
Countries citing papers authored by Danuta Stack
This map shows the geographic impact of Danuta Stack'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 Danuta Stack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danuta Stack more than expected).
Fields of papers citing papers by Danuta Stack
This network shows the impact of papers produced by Danuta Stack. 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 Danuta Stack. The network helps show where Danuta Stack may publish in the future.
Co-authors
The 25 scholars most cited alongside Danuta Stack, 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 | 2004 | 72 | |
| 2 | 2013 | 53 | |
| 3 | 2013 | 52 | |
| 4 | 2016 | 50 | |
| 5 | 2013 | 31 | |
| 6 | 2016 | 29 | |
| 7 | 2013 | 28 | |
| 8 | 2020 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2016 | 16 | |
| 11 | 2008 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2019 | 7 | |
| 14 | 2011 | 6 |
About Danuta Stack
Danuta Stack is a scholar working on Immunology, Epidemiology, Parasitology, Infectious Diseases and Molecular Medicine, having authored 14 papers that have together received 402 indexed citations. Recurring topics across this work include Fungal Infections and Studies (8 papers), Antifungal resistance and susceptibility (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Immune Response and Inflammation (3 papers), Parasitic Infections and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers), Cystic Fibrosis Research Advances (2 papers) and Nail Diseases and Treatments (2 papers). The work is most often cited by research in Immunology (160 citations), Infectious Diseases (115 citations), Epidemiology (154 citations), Endocrinology (20 citations) and Molecular Medicine (19 citations). Danuta Stack has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Christopher H. Mody, Shu Shun Li, Richard F. Xiang, Shaunna M. Huston, Henry Ogbomo, Anowara Islam, Paul Oykhman, Tania Santodomingo-Garzón, Mark G. Swain and Byron Michael Berenger. Their work appears in journals such as The Journal of Immunology, mBio, Infection and Immunity, Journal of Leukocyte Biology and PLoS Pathogens.
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.