Justin Hong

1.6k total citations
5 papers, 68 citations indexed

About

Justin Hong is a scholar working on Molecular Biology, Biophysics and Cancer Research. According to data from OpenAlex, Justin Hong has authored 5 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Biophysics and 2 papers in Cancer Research. Recurrent topics in Justin Hong's work include Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (2 papers) and Cancer Genomics and Diagnostics (1 paper). Justin Hong is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (2 papers) and Cancer Genomics and Diagnostics (1 paper). Justin Hong collaborates with scholars based in United States, Canada and Israel. Justin Hong's co-authors include Yun S. Song, Jonathan Fischer, Dominik Klein, Adam Gayoso, Mohammad Lotfollahi, Aaron Streets, Philipp Weiler, Fabian J. Theis, Nir Yosef and Pierre Boyeau and has published in prestigious journals such as Nature Methods, Genome Research and Genome biology.

In The Last Decade

Justin Hong

4 papers receiving 68 citations

Peers

Justin Hong
Boying Gong United States
Bichao Chen China
Shuangsang Fang China
Miao Zhu China
Tera Bowers United States
Emily Stephenson United Kingdom
Nelson Johansen United States
Emily M. Blaum United States
Sitara Persad United States
Ranya Virk United States
Boying Gong United States
Justin Hong
Citations per year, relative to Justin Hong Justin Hong (= 1×) peers Boying Gong

Countries citing papers authored by Justin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Justin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Hong

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

All Works

5 of 5 papers shown
1.
Hong, Justin, et al.. (2026). Mapping kinase-dependent tumor immune adaptation with multiplexed single-cell CRISPR screens. bioRxiv (Cold Spring Harbor Laboratory).
2.
Boyeau, Pierre, Justin Hong, Adam Gayoso, et al.. (2025). Deep generative modeling of sample-level heterogeneity in single-cell genomics. Nature Methods. 22(11). 2264–2274. 2 indexed citations
3.
Nazaret, Achille, Vincent‐Philippe Lavallée, Cassandra Burdziak, et al.. (2025). Joint representation and visualization of derailed cell states with Decipher. Genome biology. 26(1). 219–219. 2 indexed citations
4.
Gayoso, Adam, Philipp Weiler, Mohammad Lotfollahi, et al.. (2023). Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells. Nature Methods. 21(1). 50–59. 38 indexed citations
5.
Fischer, Jonathan, et al.. (2021). Likelihood-based deconvolution of bulk gene expression data using single-cell references. Genome Research. 31(10). 1794–1806. 26 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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Rankless by CCL
2026