Julia Piasecki
Impact in
- Oncology top 10%
- CAR-T cell therapy research
-
- Immunotherapy and Immune Responses
Papers in
- Oncology 19
- CAR-T cell therapy research 15
-
- Viral Infectious Diseases and Gene Expression in Insects 3
- Protein Degradation and Inhibitors 2
- Cell death mechanisms and regulation 2
- Co-authors
- Pamela M. Holland (2 shared papers)Todd DeVries (4 shared papers)Sham Mailankody (4 shared papers)Kelvin P. Lee (1 shared paper)Safiyyah Ziyad (2 shared papers)Andrzej Jakubowiak (1 shared paper)William Bensinger (1 shared paper)Michelle Blake (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)Cancer Research (3 papers)Blood (3 papers)Clinical Cancer Research (2 papers)Human Gene Therapy (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Julia Piasecki
21 papers receiving 398 citations
Peers
Comparison fields: 5 of 48
- Oncology 260
- Immunology 142
- Hematology 64
- Molecular Biology 232
- Genetics 87
Countries citing papers authored by Julia Piasecki
This map shows the geographic impact of Julia Piasecki'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 Julia Piasecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Piasecki more than expected).
Fields of papers citing papers by Julia Piasecki
This network shows the impact of papers produced by Julia Piasecki. 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 Julia Piasecki. The network helps show where Julia Piasecki may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Piasecki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 137 | |
| 2 | 2018 | 88 | |
| 3 | 2017 | 81 | |
| 4 | 2010 | 33 | |
| 5 | 2020 | 15 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 6 | |
| 8 | 2017 | 5 | |
| 9 | 2015 | 4 | |
| 10 | 2013 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2007 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Julia Piasecki
Julia Piasecki is a scholar working on Oncology, Molecular Biology, Immunology, Hematology and Genetics, having authored 22 papers that have together received 403 indexed citations. Recurring topics across this work include CAR-T cell therapy research (15 papers), Multiple Myeloma Research and Treatments (7 papers), Biosimilars and Bioanalytical Methods (6 papers), Virus-based gene therapy research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Protein Degradation and Inhibitors (2 papers), Cell death mechanisms and regulation (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Oncology (260 citations), Immunology (142 citations), Hematology (64 citations), Molecular Biology (232 citations) and Genetics (87 citations). Julia Piasecki has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Pamela M. Holland, Todd DeVries, Sham Mailankody, Kelvin P. Lee, Safiyyah Ziyad, Andrzej Jakubowiak, William Bensinger, Michelle Blake, John Byon and Myo Htut. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Blood, Clinical Cancer Research and Human Gene Therapy.
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.