John W. Hickey

3.7k total citations · 2 hit papers
48 papers, 1.9k citations indexed

About

John W. Hickey is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, John W. Hickey has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 14 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in John W. Hickey's work include Immunotherapy and Immune Responses (13 papers), CAR-T cell therapy research (13 papers) and Single-cell and spatial transcriptomics (7 papers). John W. Hickey is often cited by papers focused on Immunotherapy and Immune Responses (13 papers), CAR-T cell therapy research (13 papers) and Single-cell and spatial transcriptomics (7 papers). John W. Hickey collaborates with scholars based in United States, Germany and United Kingdom. John W. Hickey's co-authors include Hai‐Quan Mao, Jonathan P. Schneck, John‐Michael Williford, José Luís Santos, Garry P. Nolan, Yury Goltsev, Nikolay Samusik, Julia Kennedy‐Darling, Christian M. Schürch and Sarah Black and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Letters.

In The Last Decade

John W. Hickey

44 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CODEX multiplexed tissue imaging with DNA-conjugated antibodies

2021 301 citations Darci J. Phillips, John W. Hickey et al. profile →
Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer

2024 62 citations Magdalena Matusiak, John W. Hickey et al. Cancer Discovery profile →

Peers

John W. Hickey

IMMUN

ONCOL

BIOMA

Gregory H. Underhill United States

Pauline Chu United States

Sonya A. MacParland Canada

Roghayyeh Baghban Iran

Boštjan Markelc Slovenia

Sandro Matosevic United States

Sharif Ahmed Canada

Cian M. McCrudden United Kingdom

Fariba Némati France

Yuriko Higuchi Japan

Gregory H. Underhill United States

John W. Hickey

692 ×0.8

474 ×0.8

IMMUN

331 ×0.6

ONCOL

1.2k ×2.7

216 ×1.0

BIOMA

Citations per year, relative to John W. Hickey John W. Hickey (= 1×) peers Gregory H. Underhill

Countries citing papers authored by John W. Hickey

Since Specialization

Citations

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

Fields of papers citing papers by John W. Hickey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Hickey. 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 John W. Hickey. The network helps show where John W. Hickey may publish in the future.

Co-authorship network of co-authors of John W. Hickey

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Caraccio, Chiara, Sara Ancel, Gustavo Vazquez, et al.. (2025). Comparative Evaluation of Antibody-Oligonucleotide Conjugation Strategies for Multiplexed Imaging Applications. Laboratory Investigation. 106(1). 104262–104262.

Atta, Lyla, et al.. (2024). SEraster: a rasterization preprocessing framework for scalable spatial omics data analysis. Bioinformatics. 40(7). 3 indexed citations

Hickey, John W., et al.. (2024). Integrating multiplexed imaging and multiscale modeling identifies tumor phenotype conversion as a critical component of therapeutic T cell efficacy. Cell Systems. 15(4). 322–338.e5. 7 indexed citations

Matusiak, Magdalena, John W. Hickey, David G.P. van IJzendoorn, et al.. (2024). Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer. Cancer Discovery. 14(8). 1418–1439. 62 indexed citations breakdown →

Ben‐Akiva, Elana, John W. Hickey, Randall A. Meyer, et al.. (2023). Shape matters: Biodegradable anisotropic nanoparticle artificial antigen presenting cells for cancer immunotherapy. Acta Biomaterialia. 160. 187–197. 25 indexed citations

Jain, Yashvardhan, Ellen M. Quardokus, Andreas Bueckle, et al.. (2023). Segmentation of human functional tissue units in support of a Human Reference Atlas. Communications Biology. 6(1). 717–717. 5 indexed citations

Chen, Shuxiao, Bokai Zhu, Sijia Huang, et al.. (2023). Integration of spatial and single-cell data across modalities with weakly linked features. Nature Biotechnology. 42(7). 1096–1106. 45 indexed citations

Igarashi, Kyomi J., Iwo Kuciński, Joydeep Bhadury, et al.. (2023). Physioxia improves the selectivity of hematopoietic stem cell expansion cultures. Blood Advances. 7(14). 3366–3377. 13 indexed citations

Hickey, John W., Chiara Caraccio, Yuqi Tan, et al.. (2023). T cell-mediated curation and restructuring of tumor tissue coordinates an effective immune response. Cell Reports. 42(12). 113494–113494. 12 indexed citations

10.

Brbić, Maria, Kaidi Cao, John W. Hickey, et al.. (2022). Annotation of spatially resolved single-cell data with STELLAR. Nature Methods. 19(11). 1411–1418. 44 indexed citations

11.

Rhodes, Kelly R., Ariel Isser, John W. Hickey, et al.. (2021). Biodegradable Cationic Polymer Blends for Fabrication of Enhanced Artificial Antigen Presenting Cells to Treat Melanoma. ACS Applied Materials & Interfaces. 13(7). 7913–7923. 26 indexed citations

12.

Hickey, John W., et al.. (2021). Application of machine learning in understanding atherosclerosis: Emerging insights. APL Bioengineering. 5(1). 11505–11505. 14 indexed citations

13.

Hickey, John W., Yuqi Tan, Garry P. Nolan, & Yury Goltsev. (2021). Strategies for Accurate Cell Type Identification in CODEX Multiplexed Imaging Data. Frontiers in Immunology. 12. 727626–727626. 52 indexed citations

14.

Jenko, Janez, et al.. (2018). Identification of causal variants using one million individuals with whole–genome sequence information. Proceedings of the World Congress on Genetics Applied to Livestock Production. 591. 1 indexed citations

15.

Hickey, John W. & Jonathan P. Schneck. (2018). Enrich and Expand Rare Antigen-specific T Cells with Magnetic Nanoparticles. Journal of Visualized Experiments. 1 indexed citations

16.

Hickey, John W., Alyssa K. Kosmides, & Jonathan P. Schneck. (2018). Engineering Platforms for T Cell Modulation. International review of cell and molecular biology. 341. 277–362. 9 indexed citations

17.

Hickey, John W., José Luís Santos, John‐Michael Williford, & Hai‐Quan Mao. (2015). Control of polymeric nanoparticle size to improve therapeutic delivery. Journal of Controlled Release. 219. 536–547. 294 indexed citations

18.

Pitt, William G., et al.. (2014). Prevention and Removal of Lipid Deposits by Lens Care Solutions and Rubbing. Optometry and Vision Science. 91(12). 1430–1439. 13 indexed citations

19.

Clark, Sam, John W. Hickey, & J. H. J. van der Werf. (2010). nHow would different models of genetic variation affect genomic selection. Proceedings of the World Congress on Genetics Applied to Livestock Production. 944. 1 indexed citations

20.

Hickey, John W., Brian Kinghorn, Matthew A. Cleveland, Bruce Tier, & J. H. J. van der Werf. (2010). Recursive Long Range Phasing and Long Haplotype Library Imputation: Building a Global Haplotype Library for Holstein cattle. RUNE (Research UNE). 934. 7 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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