Michaela Torkar
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Reproductive System and Pregnancy
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Galectins and Cancer Biology
- Immune Response and Inflammation
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- Hematopoietic Stem Cell Transplantation
Papers in
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- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- IL-33, ST2, and ILC Pathways 3
- Reproductive System and Pregnancy 1
- Oncology 2
- CAR-T cell therapy research 2
- Co-authors
- John Trowsdale (7 shared papers)Michael J. Wilson (5 shared papers)Anja Haude (4 shared papers)Sarah Milne (2 shared papers)Stephan Beck (1 shared paper)T. Alwyn Jones (1 shared paper)Denise Sheer (1 shared paper)Roland Barten (2 shared papers)
- Journals
- European Journal of Immunology (3 papers)Trends in Immunology (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Journal of Immunology (1 paper)Tissue Antigens (1 paper)
- Partner nations
- United KingdomSouth SudanUnited States
In The Last Decade
Michaela Torkar
8 papers receiving 917 citations
Michaela Torkar's Hit Papers
Peers
Comparison fields: 5 of 54
- Immunology 873
- Hematology 57
- Virology 11
- Oncology 42
- Radiology, Nuclear Medicine and Imaging 25
Countries citing papers authored by Michaela Torkar
This map shows the geographic impact of Michaela Torkar'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 Michaela Torkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Torkar more than expected).
Fields of papers citing papers by Michaela Torkar
This network shows the impact of papers produced by Michaela Torkar. 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 Michaela Torkar. The network helps show where Michaela Torkar may publish in the future.
Co-authors
The 21 scholars most cited alongside Michaela Torkar, 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 | Plasticity in the organization and sequences of human KIR/ILT gene families Hit paper breakdown → | 2000 | 519 |
| 2 | 2001 | 122 | |
| 3 | 1998 | 88 | |
| 4 | 1997 | 80 | |
| 5 | 2000 | 68 | |
| 6 | 2003 | 26 | |
| 7 | 1996 | 22 | |
| 8 | 2003 | 4 |
About Michaela Torkar
Michaela Torkar is a scholar working on Immunology, Oncology, Control and Systems Engineering, Epidemiology and Infectious Diseases, having authored 8 papers that have together received 929 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), IL-33, ST2, and ILC Pathways (3 papers), CAR-T cell therapy research (2 papers), Microgrid Control and Optimization (1 paper), Reproductive System and Pregnancy (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Immunology (873 citations), Hematology (57 citations), Virology (11 citations), Oncology (42 citations) and Radiology, Nuclear Medicine and Imaging (25 citations). Michaela Torkar has collaborated with scholars based in United Kingdom, South Sudan and United States. Frequent co-authors include John Trowsdale, Michael J. Wilson, Anja Haude, Sarah Milne, Stephan Beck, T. Alwyn Jones, Denise Sheer, Roland Barten, Michael J. Wilson and Marco Colonna. Their work appears in journals such as European Journal of Immunology, Trends in Immunology, Proceedings of the National Academy of Sciences, The Journal of Immunology and Tissue Antigens.
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.