Paul Renauer

2.2k total citations
26 papers, 1.2k citations indexed

About

Paul Renauer is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Paul Renauer has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 9 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Paul Renauer's work include CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (7 papers). Paul Renauer is often cited by papers focused on CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (7 papers). Paul Renauer collaborates with scholars based in United States, China and Japan. Paul Renauer's co-authors include Amr H. Sawalha, Patrick Coit, Sidi Chen, Ryan D. Chow, Matthew B. Dong, Lupeng Ye, Youssef Errami, Guangchuan Wang, Kathleen Maksimowicz‐McKinnon and W. Joseph McCune and has published in prestigious journals such as Cell, Nature Communications and Nature Neuroscience.

In The Last Decade

Paul Renauer

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Renauer United States 17 630 430 378 221 199 26 1.2k
Catherine Sibille Belgium 18 443 0.7× 577 1.3× 280 0.7× 265 1.2× 154 0.8× 30 1.3k
Il‐Kang Na Germany 22 374 0.6× 594 1.4× 437 1.2× 83 0.4× 84 0.4× 69 1.4k
David M. Kofler Germany 20 572 0.9× 703 1.6× 475 1.3× 121 0.5× 461 2.3× 43 1.6k
Claudia Bossen United States 14 924 1.5× 1.4k 3.2× 272 0.7× 184 0.8× 172 0.9× 20 2.2k
Nicolas Gestermann France 12 286 0.5× 723 1.7× 243 0.6× 125 0.6× 113 0.6× 12 1.0k
Vanessa L. Bryant Australia 17 341 0.5× 1.3k 3.0× 314 0.8× 123 0.6× 196 1.0× 33 1.8k
Yuka Harada Japan 23 1.0k 1.6× 267 0.6× 203 0.5× 107 0.5× 131 0.7× 106 2.0k
Marie‐Claude Stolzenberg France 16 551 0.9× 1.1k 2.6× 309 0.8× 145 0.7× 156 0.8× 25 1.5k
Roger Caothien United States 9 904 1.4× 396 0.9× 286 0.8× 40 0.2× 103 0.5× 13 1.5k
Sara R. Selitsky United States 21 937 1.5× 470 1.1× 557 1.5× 90 0.4× 193 1.0× 45 1.9k

Countries citing papers authored by Paul Renauer

Since Specialization
Citations

This map shows the geographic impact of Paul Renauer'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 Paul Renauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Renauer more than expected).

Fields of papers citing papers by Paul Renauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Renauer. 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 Paul Renauer. The network helps show where Paul Renauer may publish in the future.

Co-authorship network of co-authors of Paul Renauer

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Renauer. A scholar is included among the top collaborators of Paul Renauer 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 Paul Renauer. Paul Renauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Renauer, Paul, Giacomo Sferruzza, Luojia Yang, et al.. (2024). In vivo AAV–SB-CRISPR screens of tumor-infiltrating primary NK cells identify genetic checkpoints of CAR-NK therapy. Nature Biotechnology. 43(5). 752–761. 26 indexed citations
2.
Renauer, Paul, Jonathan J. Park, Meizhu Bai, et al.. (2023). Immunogenetic Metabolomics Reveals Key Enzymes That Modulate CAR T-cell Metabolism and Function. Cancer Immunology Research. 11(8). 1068–1084. 19 indexed citations
3.
Chow, Ryan D., Meizhu Bai, Matthew B. Dong, et al.. (2023). CTLA-4 tail fusion enhances CAR-T antitumor immunity. Nature Immunology. 24(9). 1499–1510. 32 indexed citations
4.
Zhou, Xiaoyu, et al.. (2023). Applications of CRISPR technology in cellular immunotherapy. Immunological Reviews. 320(1). 199–216. 7 indexed citations
5.
Dai, Xiaoyun, Jonathan J. Park, Yaying Du, et al.. (2023). Massively parallel knock-in engineering of human T cells. Nature Biotechnology. 41(9). 1239–1255. 34 indexed citations
6.
Fang, Zhenhao, Lei Peng, Renata B. Filler, et al.. (2022). Omicron-specific mRNA vaccination alone and as a heterologous booster against SARS-CoV-2. Nature Communications. 13(1). 3250–3250. 33 indexed citations
7.
Peng, Lei, Zhenhao Fang, Paul Renauer, et al.. (2022). Multiplexed LNP-mRNA vaccination against pathogenic coronavirus species. Cell Reports. 40(5). 111160–111160. 12 indexed citations
8.
Peng, Lei, Paul Renauer, Zhenhao Fang, et al.. (2022). Variant-specific vaccination induces systems immune responses and potent in vivo protection against SARS-CoV-2. Cell Reports Medicine. 3(5). 100634–100634. 11 indexed citations
9.
Wang, Guangchuan, Ryan D. Chow, Lvyun Zhu, et al.. (2020). CRISPR-GEMM Pooled Mutagenic Screening Identifies KMT2D as a Major Modulator of Immune Checkpoint Blockade. Cancer Discovery. 10(12). 1912–1933. 87 indexed citations
10.
Tsou, Pei‐Suen, et al.. (2019). Hypomethylation of STAT1 and HLA-DRB1 is associated with type-I interferon-dependent HLA-DRB1 expression in lupus CD8+ T cells. Annals of the Rheumatic Diseases. 78(4). 519–528. 30 indexed citations
11.
Wang, Guangchuan, Ryan D. Chow, Zhigang Bai, et al.. (2019). Multiplexed activation of endogenous genes by CRISPRa elicits potent antitumor immunity. Nature Immunology. 20(11). 1494–1505. 88 indexed citations
12.
Dong, Matthew B., Guangchuan Wang, Ryan D. Chow, et al.. (2019). Systematic Immunotherapy Target Discovery Using Genome-Scale In Vivo CRISPR Screens in CD8 T Cells. Cell. 178(5). 1189–1204.e23. 213 indexed citations
13.
Renauer, Paul, Guangchuan Wang, Ryan D. Chow, et al.. (2019). Convergent Identification and Interrogation of Tumor-Intrinsic Factors that Modulate Cancer Immunity In Vivo. Cell Systems. 8(2). 136–151.e7. 12 indexed citations
14.
Chow, Ryan D., Christopher D. Guzman, Guangchuan Wang, et al.. (2017). AAV-mediated direct in vivo CRISPR screen identifies functional suppressors in glioblastoma. Nature Neuroscience. 20(10). 1329–1341. 175 indexed citations
15.
Renauer, Paul & Amr H. Sawalha. (2017). The genetics of Takayasu arteritis. La Presse Médicale. 46(7-8). e179–e187. 37 indexed citations
16.
Knight, Jason S., He Meng, Patrick Coit, et al.. (2017). Activated signature of antiphospholipid syndrome neutrophils reveals potential therapeutic target. JCI Insight. 2(18). 84 indexed citations
17.
Renauer, Paul, Patrick Coit, Faith M. Strickland, et al.. (2017). CD4+CD28+KIR+CD11ahi T cells correlate with disease activity and are characterized by a pro-inflammatory epigenetic and transcriptional profile in lupus patients. Journal of Autoimmunity. 86. 19–28. 17 indexed citations
18.
Renauer, Paul, Patrick Coit, & Amr H. Sawalha. (2015). Epigenetics and Vasculitis: a Comprehensive Review. Clinical Reviews in Allergy & Immunology. 50(3). 357–366. 35 indexed citations
19.
Coit, Patrick, Paul Renauer, Matlock A. Jeffries, et al.. (2015). Renal involvement in lupus is characterized by unique DNA methylation changes in naïve CD4+ T cells. Journal of Autoimmunity. 61. 29–35. 101 indexed citations
20.
Tsou, Pei‐Suen, Bradley J. Rabquer, Ray A. Ohara, et al.. (2015). Scleroderma dermal microvascular endothelial cells exhibit defective response to pro-angiogenic chemokines. Lara D. Veeken. 55(4). 745–754. 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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