Danielle Califano
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
-
- Eosinophilic Esophagitis
Papers in
- Immunology 13
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 6
- IL-33, ST2, and ILC Pathways 5
- Immunotherapy and Immune Responses 4
- Immune Response and Inflammation 3
- Surgery 3
- Eosinophilic Esophagitis 3
- Co-authors
- Dorina Avram (10 shared papers)Dennis W. Metzger (5 shared papers)Yoichi Furuya (3 shared papers)Andrew N. J. McKenzie (3 shared papers)Sean Roberts (1 shared paper)Mohammad Nizam Uddin (2 shared papers)Kyle J. Lorentsen (2 shared papers)Jonathan Cho (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Journal of Immunology (2 papers)The Journal of Experimental Medicine (2 papers)Journal of Virology (1 paper)Mucosal Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Danielle Califano
14 papers receiving 682 citations
Peers
Comparison fields: 5 of 55
- Immunology 523
- Surgery 131
- Epidemiology 91
- Virology 13
- Oncology 62
Countries citing papers authored by Danielle Califano
This map shows the geographic impact of Danielle Califano'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 Danielle Califano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Califano more than expected).
Fields of papers citing papers by Danielle Califano
This network shows the impact of papers produced by Danielle Califano. 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 Danielle Califano. The network helps show where Danielle Califano may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Califano, 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 | 2015 | 136 | |
| 2 | 2017 | 125 | |
| 3 | 2014 | 70 | |
| 4 | 2011 | 68 | |
| 5 | 2018 | 67 | |
| 6 | 2010 | 45 | |
| 7 | 2013 | 42 | |
| 8 | 2011 | 36 | |
| 9 | 2008 | 28 | |
| 10 | 2016 | 19 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2010 | 11 |
About Danielle Califano
Danielle Califano is a scholar working on Immunology, Surgery, Epidemiology, Hematology and Physiology, having authored 14 papers that have together received 684 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (6 papers), IL-33, ST2, and ILC Pathways (5 papers), Immunotherapy and Immune Responses (4 papers), Immune Response and Inflammation (3 papers), Eosinophilic Esophagitis (3 papers), Influenza Virus Research Studies (2 papers) and Autoimmune and Inflammatory Disorders Research (1 paper). The work is most often cited by research in Immunology (523 citations), Surgery (131 citations), Epidemiology (91 citations), Virology (13 citations) and Oncology (62 citations). Danielle Califano has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Dorina Avram, Dennis W. Metzger, Yoichi Furuya, Andrew N. J. McKenzie, Sean Roberts, Mohammad Nizam Uddin, Kyle J. Lorentsen, Jonathan Cho, Hongmin Li and Diana I. Albu. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, The Journal of Experimental Medicine, Journal of Virology and Mucosal 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.