Tamara Laskowski
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 5
- CAR-T cell therapy research 5
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- Single-cell and spatial transcriptomics 1
- Pluripotent Stem Cells Research 1
- Co-authors
- Katayoun Rezvani (2 shared papers)Alexander Biederstädt (1 shared paper)Hiroki Torikai (1 shared paper)Simon Olivares (1 shared paper)Richard E. Champlin (1 shared paper)Radhika Thokala (1 shared paper)Harjeet Singh (1 shared paper)Tiejuan Mi (1 shared paper)
- Journals
- Nature reviews. Cancer (1 paper)Cell Reports Medicine (1 paper)Stem Cell Reports (1 paper)The Journal of Experimental Medicine (1 paper)Cytotherapy (1 paper)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Tamara Laskowski
8 papers receiving 636 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Immunology 403
- Oncology 395
- Hematology 46
- Molecular Biology 201
- Cancer Research 43
Countries citing papers authored by Tamara Laskowski
This map shows the geographic impact of Tamara Laskowski'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 Tamara Laskowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Laskowski more than expected).
Fields of papers citing papers by Tamara Laskowski
This network shows the impact of papers produced by Tamara Laskowski. 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 Tamara Laskowski. The network helps show where Tamara Laskowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Laskowski, 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 | Natural killer cells in antitumour adoptive cell immunotherapy Hit paper breakdown → | 2022 | 469 |
| 2 | 2016 | 51 | |
| 3 | 2016 | 36 | |
| 4 | 2020 | 32 | |
| 5 | 2020 | 22 | |
| 6 | 2023 | 17 | |
| 7 | 2019 | 13 | |
| 8 | 2022 | 5 |
About Tamara Laskowski
Tamara Laskowski is a scholar working on Oncology, Molecular Biology, Immunology, Biomedical Engineering and Infectious Diseases, having authored 8 papers that have together received 645 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (3 papers), Single-cell and spatial transcriptomics (1 paper), Cell Image Analysis Techniques (1 paper), Antifungal resistance and susceptibility (1 paper), Virus-based gene therapy research (1 paper), Microfluidic and Bio-sensing Technologies (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Immunology (403 citations), Oncology (395 citations), Hematology (46 citations), Molecular Biology (201 citations) and Cancer Research (43 citations). Tamara Laskowski has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Katayoun Rezvani, Alexander Biederstädt, Hiroki Torikai, Simon Olivares, Richard E. Champlin, Radhika Thokala, Harjeet Singh, Tiejuan Mi, Drew C. Deniger and Laurence J.N. Cooper. Their work appears in journals such as Nature reviews. Cancer, Cell Reports Medicine, Stem Cell Reports, The Journal of Experimental Medicine and Cytotherapy.
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.