Justin Swaney

1.2k total citations
5 papers, 701 citations indexed

About

Justin Swaney is a scholar working on Biophysics, Molecular Biology and Genetics. According to data from OpenAlex, Justin Swaney has authored 5 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biophysics, 2 papers in Molecular Biology and 1 paper in Genetics. Recurrent topics in Justin Swaney's work include Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). Justin Swaney is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). Justin Swaney collaborates with scholars based in United States, South Korea and China. Justin Swaney's co-authors include Kwanghun Chung, Evan Murray, Jeong Yoon Park, Jaehun Cho, Young-Gyun Park, Taeyun Ku, Alexandre Albanese, Vamsi Mangena, Jiapei Chen and N.A. Bakh and has published in prestigious journals such as Cell, Nature Biotechnology and Scientific Reports.

In The Last Decade

Justin Swaney

5 papers receiving 695 citations

Peers

Justin Swaney
Young-Gyun Park United States
Samantha L. Schwartz United States
Adel Kechkar France
Douglas H. Roossien United States
Anne Béghin France
Rémi Galland France
Nils Norlin Sweden
Panagiotis Chandris United States
Ekaterina A. Souslova Russia
Evgenia Platonova Switzerland
Young-Gyun Park United States
Justin Swaney
Citations per year, relative to Justin Swaney Justin Swaney (= 1×) peers Young-Gyun Park

Countries citing papers authored by Justin Swaney

Since Specialization
Citations

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

Fields of papers citing papers by Justin Swaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Swaney

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Swaney. A scholar is included among the top collaborators of Justin Swaney 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 Swaney. Justin Swaney 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.
Albanese, Alexandre, Justin Swaney, Dae Hee Yun, et al.. (2020). Multiscale 3D phenotyping of human cerebral organoids. Scientific Reports. 10(1). 21487–21487. 56 indexed citations
2.
Swaney, Justin, et al.. (2018). Machine Learning on Cataracts Classification Using SqueezeNet. 1–3. 14 indexed citations
3.
4.
Ku, Taeyun, Justin Swaney, Jeong Yoon Park, et al.. (2016). Multiplexed and scalable super-resolution imaging of three-dimensional protein localization in size-adjustable tissues. Nature Biotechnology. 34(9). 973–981. 305 indexed citations
5.
Murray, Evan, Jaehun Cho, Daniel Goodwin, et al.. (2015). Simple, Scalable Proteomic Imaging for High-Dimensional Profiling of Intact Systems. Cell. 163(6). 1500–1514. 325 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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2026