Patrick Paczkowski
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Human-Computer Interaction top 10%
- Interactive and Immersive Displays
Papers in
- Oncology 8
- CAR-T cell therapy research 7
-
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 3
- Co-authors
- Sean Mackay (10 shared papers)Jing Zhou (8 shared papers)Colin Ng (7 shared papers)Alaina Kaiser (4 shared papers)James R. Heath (3 shared papers)Rong Fan (4 shared papers)Brianna Flynn (5 shared papers)John M. Rossi (3 shared papers)
- Journals
- Blood (2 papers)ACM Transactions on Graphics (1 paper)Cancer Research (1 paper)Human Vaccines & Immunotherapeutics (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesSouth KoreaIreland
In The Last Decade
Patrick Paczkowski
14 papers receiving 472 citations
Peers
Comparison fields: 5 of 63
- Oncology 321
- Human-Computer Interaction 47
- Immunology 158
- Computer Graphics and Computer-Aided Design 23
- Biomedical Engineering 110
Countries citing papers authored by Patrick Paczkowski
This map shows the geographic impact of Patrick Paczkowski'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 Patrick Paczkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Paczkowski more than expected).
Fields of papers citing papers by Patrick Paczkowski
This network shows the impact of papers produced by Patrick Paczkowski. 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 Patrick Paczkowski. The network helps show where Patrick Paczkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Paczkowski, 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 | 2018 | 225 | |
| 2 | 2017 | 92 | |
| 3 | 2019 | 30 | |
| 4 | 2011 | 26 | |
| 5 | 2018 | 25 | |
| 6 | 2011 | 22 | |
| 7 | 2014 | 20 | |
| 8 | 2020 | 19 | |
| 9 | 2020 | 13 | |
| 10 | 2017 | 10 | |
| 11 | 2017 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 1 |
About Patrick Paczkowski
Patrick Paczkowski is a scholar working on Oncology, Immunology, Molecular Biology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 14 papers that have together received 493 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (4 papers), Single-cell and spatial transcriptomics (3 papers), Immune Cell Function and Interaction (3 papers), Robotics and Sensor-Based Localization (2 papers), Nanowire Synthesis and Applications (2 papers), Augmented Reality Applications (2 papers) and Interactive and Immersive Displays (2 papers). The work is most often cited by research in Oncology (321 citations), Human-Computer Interaction (47 citations), Immunology (158 citations), Computer Graphics and Computer-Aided Design (23 citations) and Biomedical Engineering (110 citations). Patrick Paczkowski has collaborated with scholars based in United States, South Korea and Ireland. Frequent co-authors include Sean Mackay, Jing Zhou, Colin Ng, Alaina Kaiser, James R. Heath, Rong Fan, Brianna Flynn, John M. Rossi, Adrian Bot and Yueh-wei Shen. Their work appears in journals such as Blood, ACM Transactions on Graphics, Cancer Research, Human Vaccines & Immunotherapeutics and Journal of Clinical Oncology.
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.