Jeremy To

821 total citations
5 papers, 81 citations indexed

About

Jeremy To is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Jeremy To has authored 5 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Biomedical Engineering. Recurrent topics in Jeremy To's work include Cancer Cells and Metastasis (3 papers), 3D Printing in Biomedical Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). Jeremy To is often cited by papers focused on Cancer Cells and Metastasis (3 papers), 3D Printing in Biomedical Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). Jeremy To collaborates with scholars based in United States, Ukraine and Switzerland. Jeremy To's co-authors include Anthony P. Orth, Shane R. Horman, Jocelyn Zoll, John R. Walker, Meghan Cuddihy, John R. Lamb, Buu P. Tu, Whitney Barnes, John R. Walker and Loren Miraglia and has published in prestigious journals such as Nature Methods, Biotechnology and Bioengineering and Oncotarget.

In The Last Decade

Jeremy To

4 papers receiving 80 citations

Peers

Jeremy To
Christina Heichler Germany
Jonathan C. Schmok United States
Lut Janssen Belgium
William J. Barendt United Kingdom
Amit Kapadia United States
William Sperduto United States
Ileana L. Co Canada
Aini Hyytiäinen Finland
Jason Guo United States
Zsofia Miskolczi United Kingdom
Christina Heichler Germany
Jeremy To
Citations per year, relative to Jeremy To Jeremy To (= 1×) peers Christina Heichler

Countries citing papers authored by Jeremy To

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy To

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy To. A scholar is included among the top collaborators of Jeremy To 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 Jeremy To. Jeremy To 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.
To, Jeremy, Angélica Romero, Whitney Barnes, et al.. (2021). High‐throughput CRISPR‐mediated 3D enrichment platform for functional interrogation of chemotherapeutic resistance. Biotechnology and Bioengineering. 118(8). 3187–3199. 4 indexed citations
2.
Horman, Shane R., Jeremy To, John R. Lamb, et al.. (2017). Functional profiling of microtumors to identify cancer associated fibroblast-derived drug targets. Oncotarget. 8(59). 99913–99930. 31 indexed citations
3.
Horman, Shane R., et al.. (2013). 3D High-Content Analysis of Spheroids. Genetic Engineering & Biotechnology News. 33(16). 18–19.
4.
Horman, Shane R., Jeremy To, & Anthony P. Orth. (2013). An HTS-Compatible 3D Colony Formation Assay to Identify Tumor-Specific Chemotherapeutics. SLAS DISCOVERY. 18(10). 1298–1308. 31 indexed citations
5.
Horman, Shane R., et al.. (2013). High-content analysis of three-dimensional tumor spheroids: investigating signaling pathways using small hairpin RNA. Nature Methods. 10(10). v–vi. 15 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