Patrick Paczkowski

810 total citations
14 papers, 493 citations indexed

About

Patrick Paczkowski is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Patrick Paczkowski has authored 14 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Patrick Paczkowski's work include CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (4 papers) and Single-cell and spatial transcriptomics (3 papers). Patrick Paczkowski is often cited by papers focused on CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (4 papers) and Single-cell and spatial transcriptomics (3 papers). Patrick Paczkowski collaborates with scholars based in United States, South Korea and Ireland. Patrick Paczkowski's co-authors include Sean Mackay, Jing Zhou, Colin Ng, Alaina Kaiser, Rong Fan, James R. Heath, Brianna Flynn, John M. Rossi, Adrian Bot and Julie Dorsey and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Patrick Paczkowski

14 papers receiving 472 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick Paczkowski United States 10 321 160 158 110 59 14 493
Bailin He China 12 210 0.7× 89 0.6× 139 0.9× 119 1.1× 15 0.3× 30 395
Akinori Sasaki Japan 9 74 0.2× 130 0.8× 131 0.8× 32 0.3× 19 0.3× 66 383
Hiroyuki Ozawa Japan 12 178 0.6× 206 1.3× 50 0.3× 23 0.2× 50 0.8× 36 500
Joshua Jackson United States 8 145 0.5× 97 0.6× 163 1.0× 25 0.2× 11 0.2× 27 379
Duy Pham United States 8 179 0.6× 211 1.3× 106 0.7× 28 0.3× 5 0.1× 22 441
Masayuki Miyamoto Japan 10 51 0.2× 86 0.5× 71 0.4× 97 0.9× 129 2.2× 50 379
Maxime Petit France 12 55 0.2× 255 1.6× 379 2.4× 26 0.2× 12 0.2× 20 719
Toshikage Nagao Japan 14 132 0.4× 173 1.1× 55 0.3× 74 0.7× 38 0.6× 53 558
Xingyu Ji China 8 231 0.7× 79 0.5× 111 0.7× 85 0.8× 49 0.8× 21 359
Oscar Persson Sweden 18 95 0.3× 104 0.7× 94 0.6× 228 2.1× 3 0.1× 37 812

Countries citing papers authored by Patrick Paczkowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Patrick Paczkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Paczkowski. A scholar is included among the top collaborators of Patrick Paczkowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patrick Paczkowski. Patrick Paczkowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Liu, Dong, Patrick Paczkowski, John M. Rossi, et al.. (2020). Advanced Cell Mapping Visualizations for Single Cell Functional Proteomics Enabling Patient Stratification. PROTEOMICS. 20(13). e1900270–e1900270. 13 indexed citations
3.
Liu, Dong, Patrick Paczkowski, Sean Mackay, Colin Ng, & Jing Zhou. (2019). Single-Cell Multiplexed Proteomics on the IsoLight Resolves Cellular Functional Heterogeneity to Reveal Clinical Responses of Cancer Patients to Immunotherapies. Methods in molecular biology. 2055. 413–431. 30 indexed citations
4.
Fujiwara, Mai, Emily J. Anstadt, Brianna Flynn, et al.. (2018). Enhanced TLR2 responses in multiple sclerosis. Clinical & Experimental Immunology. 193(3). 313–326. 25 indexed citations
5.
Rossi, John M., Patrick Paczkowski, Yueh-wei Shen, et al.. (2018). Preinfusion polyfunctional anti-CD19 chimeric antigen receptor T cells are associated with clinical outcomes in NHL. Blood. 132(8). 804–814. 225 indexed citations
6.
Paczkowski, Patrick, Julie Dorsey, Holly Rushmeier, & Min H. Kim. (2018). PaperCraft3D: Paper-Based 3D Modeling and Scene Fabrication. IEEE Transactions on Visualization and Computer Graphics. 25(4). 1717–1731. 4 indexed citations
7.
Zhou, Jing, Alaina Kaiser, Colin Ng, et al.. (2017). CD8+ T-cell mediated anti-malaria protection induced by malaria vaccines; assessment of hepatic CD8+ T cells by SCBC assay. Human Vaccines & Immunotherapeutics. 13(7). 1625–1629. 10 indexed citations
8.
9.
Xue, Qiong, Emily Bettini, Patrick Paczkowski, et al.. (2017). Single-cell multiplexed cytokine profiling of CD19 CAR-T cells reveals a diverse landscape of polyfunctional antigen-specific response. Journal for ImmunoTherapy of Cancer. 5(1). 85–85. 92 indexed citations
10.
Rossi, John M., Patrick Paczkowski, Yueh-wei Shen, et al.. (2017). Abstract 2990: Polyfunctional anti-CD19 CAR T cells determined by single-cell multiplex proteomics associated with clinical activity in patients with advanced non-Hodgkin’s lymphoma. Cancer Research. 77(13_Supplement). 2990–2990. 5 indexed citations
11.
Mackay, Sean, Brianna Flynn, Patrick Paczkowski, et al.. (2017). Single-cell cytokine profiling of tumor-infiltrating T cells to measure patient responses to anti-PD-1 therapy.. Journal of Clinical Oncology. 35(7_suppl). 49–49. 1 indexed citations
12.
Paczkowski, Patrick, Julie Dorsey, Holly Rushmeier, & Min H. Kim. (2014). Paper3D. 23–32. 20 indexed citations
13.
Paczkowski, Patrick, et al.. (2011). Insitu. ACM Transactions on Graphics. 30(6). 1–10. 26 indexed citations
14.
Paczkowski, Patrick, et al.. (2011). Insitu. 1–10. 22 indexed citations

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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