Irina Caminschi
- Immunology top 0.5%
- Immunotherapy and Immune Responses 60
- T-cell and B-cell Immunology 49
- Immune Cell Function and Interaction 32
- Immune Response and Inflammation 9
- Virology top 5%
- Oncology top 5%
- CAR-T cell therapy research 5
- Immunology and Allergy top 5%
- Molecular Biology top 10%
- vaccines and immunoinformatics approaches 9
- RNA Interference and Gene Delivery 8
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Ken ShortmanMireille H. LahoudWilliam R. HeathLinda M. WakimMeredith O’KeeffeHubertus HochreinDavid VremecLiv Eidsmo
- Cited by
- ImmunologyVirologyOncology
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Irina Caminschi
73 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 3.7k
- Virology 123
- Oncology 643
- Immunology and Allergy 99
- Molecular Biology 1.1k
Countries citing papers authored by Irina Caminschi
This map shows the geographic impact of Irina Caminschi'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 Irina Caminschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Caminschi more than expected).
Fields of papers citing papers by Irina Caminschi
This network shows the impact of papers produced by Irina Caminschi. 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 Irina Caminschi. The network helps show where Irina Caminschi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Irina Caminschi, 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 | 2024 | 6 | |
| 2 | 2022 | 53 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 12 | |
| 9 | 2018 | 27 | |
| 10 | 2018 | 73 | |
| 11 | 2018 | 74 | |
| 12 | Targeting CLEC9A can deliver antigen to human CD141(+) DC for recognition by both CD4(+) and CD8(+) T cells | 2016 | 1 |
| 13 | 2011 | 243 | |
| 14 | 2011 | 71 | |
| 15 | 2009 | 64 | |
| 16 | 2007 | 11 | |
| 17 | 2006 | 83 | |
| 18 | 2005 | 17 | |
| 19 | 2005 | 63 | |
| 20 | 2001 | 45 |
About Irina Caminschi
Irina Caminschi is a scholar working on Immunology, Biotechnology and Endocrinology, having authored 75 papers that have together received 4.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (60 papers), T-cell and B-cell Immunology (49 papers), Immune Cell Function and Interaction (32 papers), vaccines and immunoinformatics approaches (9 papers), Immune Response and Inflammation (9 papers), RNA Interference and Gene Delivery (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Immunology (3.7k citations), Virology (123 citations) and Oncology (643 citations). Irina Caminschi has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Ken Shortman, Mireille H. Lahoud, William R. Heath, Linda M. Wakim, Meredith O’Keeffe, Hubertus Hochrein, David Vremec, Liv Eidsmo, Jóse A. Villadangos and Rhys S. Allan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.