Peter Chockley

1.1k total citations
18 papers, 840 citations indexed

About

Peter Chockley is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Peter Chockley has authored 18 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Peter Chockley's work include Immune Cell Function and Interaction (10 papers), CAR-T cell therapy research (6 papers) and Immune cells in cancer (4 papers). Peter Chockley is often cited by papers focused on Immune Cell Function and Interaction (10 papers), CAR-T cell therapy research (6 papers) and Immune cells in cancer (4 papers). Peter Chockley collaborates with scholars based in United States, Germany and Japan. Peter Chockley's co-authors include Venkateshwar G. Keshamouni, Pavan Reddy, Chelsea Malter, Evelyn Nieves, Tomomi Toubai, Isao Tawara, Yaping Sun, Clemens Grabher, Sachin Kumar Singh and Graham J. Lieschke and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Nature Biotechnology.

In The Last Decade

Peter Chockley

18 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Chockley United States 13 416 302 276 144 132 18 840
Chrysi Kanellopoulou United States 6 413 1.0× 119 0.4× 337 1.2× 157 1.1× 106 0.8× 12 962
Maya C. André Germany 17 441 1.1× 355 1.2× 275 1.0× 54 0.4× 211 1.6× 30 925
Alessia Zorzoli Italy 14 401 1.0× 309 1.0× 195 0.7× 49 0.3× 132 1.0× 26 764
Olatz Zenarruzabeitia Spain 18 779 1.9× 406 1.3× 271 1.0× 147 1.0× 86 0.7× 35 1.2k
Ane Orrantia Spain 14 570 1.4× 284 0.9× 180 0.7× 115 0.8× 63 0.5× 24 811
Anja Krippner‐Heidenreich United Kingdom 21 408 1.0× 229 0.8× 565 2.0× 143 1.0× 56 0.4× 32 1.0k
Roberta Carosio Italy 19 567 1.4× 244 0.8× 402 1.5× 132 0.9× 46 0.3× 36 1.2k
Inmoo Rhee South Korea 16 735 1.8× 285 0.9× 577 2.1× 121 0.8× 38 0.3× 30 1.2k
Margaux Vienne France 7 773 1.9× 417 1.4× 191 0.7× 84 0.6× 54 0.4× 9 985
Jun Gui China 15 394 0.9× 281 0.9× 240 0.9× 83 0.6× 32 0.2× 23 784

Countries citing papers authored by Peter Chockley

Since Specialization
Citations

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

Fields of papers citing papers by Peter Chockley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Chockley

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

All Works

18 of 18 papers shown
1.
Talbot, Lindsay J., Alexandra Beckett, Phuong Nguyen, et al.. (2024). Redirecting B7-H3.CAR T Cells to Chemokines Expressed in Osteosarcoma Enhances Homing and Antitumor Activity in Preclinical Models. Clinical Cancer Research. 30(19). 4434–4449. 11 indexed citations
2.
Zoine, Jaquelyn T., Jorge Ibañez-Vega, Liqing Tian, et al.. (2024). Peptide-scFv antigen recognition domains effectively confer CAR T cell multiantigen specificity. Cell Reports Medicine. 5(2). 101422–101422. 14 indexed citations
3.
Chockley, Peter, Jorge Ibañez-Vega, Giedre Krenciute, Lindsay J. Talbot, & Stephen Gottschalk. (2023). Synapse-tuned CARs enhance immune cell anti-tumor activity. Nature Biotechnology. 41(10). 1434–1445. 47 indexed citations
4.
Beckett, Alexandra, Peter Chockley, Shondra M. Pruett‐Miller, et al.. (2023). CD47 expression is critical for CAR T-cell survival in vivo. Journal for ImmunoTherapy of Cancer. 11(3). e005857–e005857. 19 indexed citations
5.
Zoine, Jaquelyn T., Jeremy Chase Crawford, Abishek Vaidya, et al.. (2022). Engineering naturally occurring CD7− T cells for the immunotherapy of hematological malignancies. Blood. 140(25). 2684–2696. 43 indexed citations
6.
Iacobucci, Ilaria, Reiji Fukano, Chunxu Qu, et al.. (2022). G3BP2-KIT drives leukemia amenable to kinase inhibition in Ph-like ALL. Blood Advances. 6(11). 3255–3259. 2 indexed citations
7.
Chockley, Peter, Sagar L. Patil, & Stephen Gottschalk. (2021). Transient blockade of TBK1/IKKε allows efficient transduction of primary human natural killer cells with vesicular stomatitis virus G-pseudotyped lentiviral vectors. Cytotherapy. 23(9). 787–792. 11 indexed citations
8.
Chockley, Peter, Jun Chen, Guoan Chen, et al.. (2018). Epithelial-mesenchymal transition leads to NK cell–mediated metastasis-specific immunosurveillance in lung cancer. Journal of Clinical Investigation. 128(4). 1384–1396. 108 indexed citations
9.
Chockley, Peter & Venkateshwar G. Keshamouni. (2018). Metastasis-specific, NK cell-mediated, immune surveillance of lung cancer. The Journal of Immunology. 200(Supplement_1). 124.8–124.8. 2 indexed citations
10.
Baker, Gregory J., Peter Chockley, Daniel Zamler, María G. Castro, & Pedro R. Löwenstein. (2016). Natural killer cells require monocytic Gr-1+/CD11b+myeloid cells to eradicate orthotopically engrafted glioma cells. OncoImmunology. 5(6). e1163461–e1163461. 30 indexed citations
11.
Chockley, Peter & Venkateshwar G. Keshamouni. (2016). Immunological Consequences of Epithelial–Mesenchymal Transition in Tumor Progression. The Journal of Immunology. 197(3). 691–698. 67 indexed citations
12.
Wacker, Irene, Peter Chockley, Andreas Hofmann, et al.. (2015). Array tomography: characterizing FAC‐sorted populations of zebrafish immune cells by their 3D ultrastructure. Journal of Microscopy. 259(2). 105–113. 18 indexed citations
13.
Baker, Gregory J., Peter Chockley, Viveka Nand Yadav, et al.. (2014). Natural Killer Cells Eradicate Galectin-1–Deficient Glioma in the Absence of Adaptive Immunity. Cancer Research. 74(18). 5079–5090. 61 indexed citations
14.
Baker, Glen B., Peter Chockley, Viveka Nand Yadav, et al.. (2014). IB-01 * GLIOMA-DERIVED GALECTIN-1 IS A POTENT SUPPRESSOR OF NK IMMUNOSURVEILLANCE. Neuro-Oncology. 16(suppl 5). v107–v107. 1 indexed citations
15.
Wittmann, Christine, Peter Chockley, Sachin Kumar Singh, et al.. (2012). Hydrogen Peroxide in Inflammation: Messenger, Guide, and Assassin. Advances in Hematology. 2012. 1–6. 115 indexed citations
16.
Sun, Yaping, Sooryanarayana Varambally, Christopher A. Maher, et al.. (2011). Targeting of microRNA-142-3p in dendritic cells regulates endotoxin-induced mortality. Blood. 117(23). 6172–6183. 119 indexed citations
17.
Toubai, Tomomi, Yaping Sun, Isao Tawara, et al.. (2011). Ikaros-Notch axis in host hematopoietic cells regulates experimental graft-versus-host disease. Blood. 118(1). 192–204. 32 indexed citations
18.
Tawara, Isao, Motoko Koyama, Chen Liu, et al.. (2010). Interleukin-6 Modulates Graft-versus-Host Responses after Experimental Allogeneic Bone Marrow Transplantation. Clinical Cancer Research. 17(1). 77–88. 140 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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