Julia Piasecki

1.3k citations
22 papers · 405 · h-index 7

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 15
    • PARP inhibition in cancer therapy 1
    • Biosimilars and Bioanalytical Methods 6

Julia Piasecki

21 papers receiving 400 citations

Peers

Julia Piasecki
Comparison fields: 5 of 42
  • Oncology 240
  • Immunology 125
  • Hematology 53
  • Molecular Biology 210
  • Genetics 81
Replace Kathryn Ruisaard with:
Kathryn Ruisaard United States
Dirk Hönemann Australia
Daijing Yuan China
Kevin M. Friedman United States
Andrea V. Lopez United States
Frederick Arce Vargas United Kingdom
Tamara Laskowski United States
Chenggong Li China
Elisabetta Cribioli Switzerland
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Citations per field
00.5×1.6×
Kathryn Ruisaard · 1×
Citations per year

Countries citing papers authored by Julia Piasecki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Julia Piasecki Line = papers co-authored together Julia Piasecki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014137
2 201888
3 201783
4 201033
5 202015
6 20219
7 20206
8 20175
9 20154
10 20134
11 20153
12 20073
13 20253
14 20252
15 20232
16 20242
17 20172
18 20231
19 20231
20 20251

About Julia Piasecki

Julia Piasecki is a scholar working on Oncology, Immunology, Molecular Biology, Hematology and Genetics, having authored 22 papers that have together received 405 indexed citations. Recurring topics across this work include CAR-T cell therapy research (15 papers), Biosimilars and Bioanalytical Methods (6 papers), Multiple Myeloma Research and Treatments (5 papers), Virus-based gene therapy research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Cell death mechanisms and regulation (2 papers), Herpesvirus Infections and Treatments (2 papers) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Oncology (240 citations), Immunology (125 citations), Hematology (53 citations), Molecular Biology (210 citations) and Genetics (81 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, Myo Htut, Michelle Blake, William Bensinger, Kelvin P. Lee, John Byon, Safiyyah Ziyad and Andrzej Jakubowiak. Their work appears in journals such as Journal of Clinical Oncology, Blood, Cancer Research, 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.

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