Michael E. Todhunter

914 total citations
18 papers, 660 citations indexed

About

Michael E. Todhunter is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Michael E. Todhunter has authored 18 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Biomedical Engineering. Recurrent topics in Michael E. Todhunter's work include 3D Printing in Biomedical Research (9 papers), Cancer Cells and Metastasis (9 papers) and Cellular Mechanics and Interactions (6 papers). Michael E. Todhunter is often cited by papers focused on 3D Printing in Biomedical Research (9 papers), Cancer Cells and Metastasis (9 papers) and Cellular Mechanics and Interactions (6 papers). Michael E. Todhunter collaborates with scholars based in United States, Norway and Palestinian Territory. Michael E. Todhunter's co-authors include Zev J. Gartner, Mark A. LaBarge, James C. Garbe, Alec E. Cerchiari, Tejal A. Desai, Kyle E. Broaders, Justin Farlow, Jennifer S. Liu, Maxwell C. Coyle and Alex J. Hughes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Michael E. Todhunter

17 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael E. Todhunter United States 10 381 315 116 110 41 18 660
Julia Sero United Kingdom 13 521 1.4× 276 0.9× 246 2.1× 78 0.7× 44 1.1× 20 985
Chin‐Lin Guo United States 13 258 0.7× 161 0.5× 172 1.5× 71 0.6× 61 1.5× 30 589
Asja Guzman United States 10 282 0.7× 162 0.5× 189 1.6× 134 1.2× 34 0.8× 13 649
Katarzyna Modzelewska United States 8 417 1.1× 233 0.7× 433 3.7× 123 1.1× 92 2.2× 10 986
Vasily Gurchenkov France 7 177 0.5× 329 1.0× 258 2.2× 156 1.4× 42 1.0× 7 627
Doorgesh Sharma Jokhun Singapore 12 419 1.1× 196 0.6× 416 3.6× 62 0.6× 41 1.0× 20 735
Anthony Simon France 12 235 0.6× 426 1.4× 352 3.0× 214 1.9× 54 1.3× 19 825
Bhupinder Shergill United States 8 269 0.7× 138 0.4× 127 1.1× 45 0.4× 34 0.8× 11 450
Nikhil Jain Switzerland 11 471 1.2× 226 0.7× 357 3.1× 74 0.7× 53 1.3× 15 950
Damien Garbett United States 12 407 1.1× 108 0.3× 435 3.8× 117 1.1× 29 0.7× 17 780

Countries citing papers authored by Michael E. Todhunter

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Todhunter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Todhunter. 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 Michael E. Todhunter. The network helps show where Michael E. Todhunter may publish in the future.

Co-authorship network of co-authors of Michael E. Todhunter

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Todhunter. A scholar is included among the top collaborators of Michael E. Todhunter 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 Michael E. Todhunter. Michael E. Todhunter 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.
Sayaman, Rosalyn W., Masaru Miyano, Parijat Senapati, et al.. (2024). Luminal epithelial cells integrate variable responses to aging into stereotypical changes that underlie breast cancer susceptibility. eLife. 13. 5 indexed citations
2.
Todhunter, Michael E., et al.. (2023). Sustained postconfluent culture of human mammary epithelial cells enriches for luminal and c-Kit+ subtypes. Breast Cancer Research. 25(1). 6–6. 1 indexed citations
3.
Hinz, Stefan, Masaru Miyano, Antigoni Manousopoulou, et al.. (2023). Abstract A016: Aging-dependent emergent mechanical properties of single epithelial cells exploited for detection of breast cancer susceptibility. Cancer Research. 83(2_Supplement_1). A016–A016.
4.
Jokela, Tiina, Michael E. Todhunter, & Mark A. LaBarge. (2022). High-Throughput Microenvironment Microarray (MEMA) High-Resolution Imaging. Methods in molecular biology. 2394. 47–64. 1 indexed citations
5.
Miyano, Masaru, Rosalyn W. Sayaman, Tiina Jokela, et al.. (2021). Evidence for accelerated aging in mammary epithelia of women carrying germline BRCA1 or BRCA2 mutations. Nature Aging. 1(9). 838–849. 34 indexed citations
6.
Hinz, Stefan, Antigoni Manousopoulou, Masaru Miyano, et al.. (2021). Deep proteome profiling of human mammary epithelia at lineage and age resolution. iScience. 24(9). 103026–103026. 7 indexed citations
7.
Todhunter, Michael E., et al.. (2021). Volume-constrained microcontainers enable myoepithelial functional differentiation in highly parallel mammary organoid culture. iScience. 24(4). 102253–102253. 3 indexed citations
8.
Todhunter, Michael E., Rosalyn W. Sayaman, Masaru Miyano, & Mark A. LaBarge. (2018). Tissue aging: the integration of collective and variant responses of cells to entropic forces over time. Current Opinion in Cell Biology. 54. 121–129. 23 indexed citations
9.
Todhunter, Michael E. & Mark A. LaBarge. (2017). Cell and Tissue Biology Paves a Path to Breast Cancer Prevention. Trends in cancer. 3(5). 313–315. 4 indexed citations
10.
Hu, Jennifer L., Michael E. Todhunter, Mark A. LaBarge, & Zev J. Gartner. (2017). Opportunities for organoids as new models of aging. The Journal of Cell Biology. 217(1). 39–50. 57 indexed citations
11.
Chen, Sisi, Olivia J. Scheideler, Yun Suk Na, et al.. (2016). Interrogating cellular fate decisions with high-throughput arrays of multiplexed cellular communities. Nature Communications. 7(1). 10309–10309. 39 indexed citations
12.
Cerchiari, Alec E., et al.. (2016). Probing the luminal microenvironment of reconstituted epithelial microtissues. Scientific Reports. 6(1). 33148–33148. 7 indexed citations
13.
Todhunter, Michael E., et al.. (2016). Fabrication of 3‐D Reconstituted Organoid Arrays by DNA‐Programmed Assembly of Cells (DPAC). PubMed. 8(3). 147–178. 13 indexed citations
14.
Cerchiari, Alec E., James C. Garbe, Michael E. Todhunter, et al.. (2015). A strategy for tissue self-organization that is robust to cellular heterogeneity and plasticity. Proceedings of the National Academy of Sciences. 112(7). 2287–2292. 95 indexed citations
15.
Todhunter, Michael E., Alex J. Hughes, Maxwell C. Coyle, et al.. (2015). Programmed synthesis of three-dimensional tissues. Nature Methods. 12(10). 975–981. 201 indexed citations
16.
Cerchiari, Alec E., James C. Garbe, Michael E. Todhunter, et al.. (2014). Formation of Spatially and Geometrically Controlled Three-Dimensional Tissues in Soft Gels by Sacrificial Micromolding. Tissue Engineering Part C Methods. 21(6). 541–547. 21 indexed citations
17.
Todhunter, Michael E., et al.. (2011). Chemically Programmed Cell Adhesion with Membrane-Anchored Oligonucleotides. Journal of the American Chemical Society. 134(2). 765–768. 133 indexed citations
18.
McCullagh, Emma, Justin Farlow, Juliet R. Girard, et al.. (2009). Not all quiet on the noise front. Nature Chemical Biology. 5(10). 699–704. 16 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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