Sebastian Carotta
- Immunology top 0.5%
- Immune Cell Function and Interaction 26
- T-cell and B-cell Immunology 20
- IL-33, ST2, and ILC Pathways 8
- Immunotherapy and Immune Responses 8
- Hematology top 5%
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 3
- Genetics top 5%
- Virus-based gene therapy research 5
- Oncology top 5%
- CAR-T cell therapy research 8
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- Zebrafish Biomedical Research Applications 5
- Co-authors
- Stephen L. NuttErnst WagnerLi WuGabrielle T. BelzNicholas D. HuntingtonSwee Heng Milon PangRalf KircheisRegina Ruzicka
- Partner nations
- AustraliaAustriaUnited States
In The Last Decade
Sebastian Carotta
50 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 3.1k
- Hematology 346
- Molecular Biology 2.0k
- Genetics 678
- Oncology 637
Countries citing papers authored by Sebastian Carotta
This map shows the geographic impact of Sebastian Carotta'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 Sebastian Carotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Carotta more than expected).
Fields of papers citing papers by Sebastian Carotta
This network shows the impact of papers produced by Sebastian Carotta. 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 Sebastian Carotta. The network helps show where Sebastian Carotta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sebastian Carotta, 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 | 2023 | 4 | |
| 2 | 2020 | 32 | |
| 3 | 2018 | 31 | |
| 4 | 2018 | 17 | |
| 5 | 2016 | 121 | |
| 6 | 2016 | 46 | |
| 7 | 2015 | 48 | |
| 8 | 2014 | 192 | |
| 9 | 2014 | 131 | |
| 10 | The transcription factor T-bet is essential for the development of NKp46( ) innate lymphocytes via the Notch pathway (vol 14, pg 389, 2013) | 2013 | 1 |
| 11 | 2013 | 4 | |
| 12 | 2011 | 110 | |
| 13 | 2010 | 176 | |
| 14 | 2009 | 59 | |
| 15 | 2009 | 288 | |
| 16 | 2008 | 18 | |
| 17 | 2006 | 16 | |
| 18 | 2006 | 39 | |
| 19 | 2006 | 82 | |
| 20 | Different behavior of branched and linear polyethylenimine for gene deliveryin vitro andin vivobreakdown → | 2001 | 579 |
About Sebastian Carotta
Sebastian Carotta is a scholar working on Immunology, Oncology and Hematology, having authored 50 papers that have together received 5.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (20 papers), CAR-T cell therapy research (8 papers), IL-33, ST2, and ILC Pathways (8 papers), Immunotherapy and Immune Responses (8 papers), Virus-based gene therapy research (5 papers), Zebrafish Biomedical Research Applications (5 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Immunology (3.1k citations), Hematology (346 citations) and Molecular Biology (2.0k citations). Sebastian Carotta has collaborated with scholars based in Australia, Austria and United States. Frequent co-authors include Stephen L. Nutt, Ernst Wagner, Li Wu, Gabrielle T. Belz, Nicholas D. Huntington, Swee Heng Milon Pang, Ralf Kircheis, Regina Ruzicka, Malgorzata Kursa and Lionel Wightman. Their work appears in journals such as Blood, Frontiers in Immunology, The Journal of Immunology, Nature Immunology and Immunity.
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.