Caleb J. Bashor

4.2k total citations · 2 hit papers
25 papers, 2.8k citations indexed

About

Caleb J. Bashor is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Caleb J. Bashor has authored 25 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Biomedical Engineering. Recurrent topics in Caleb J. Bashor's work include Gene Regulatory Network Analysis (14 papers), CRISPR and Genetic Engineering (8 papers) and Evolution and Genetic Dynamics (4 papers). Caleb J. Bashor is often cited by papers focused on Gene Regulatory Network Analysis (14 papers), CRISPR and Genetic Engineering (8 papers) and Evolution and Genetic Dynamics (4 papers). Caleb J. Bashor collaborates with scholars based in United States, Switzerland and Denmark. Caleb J. Bashor's co-authors include James J. Collins, D. Ewen Cameron, Wendell A. Lim, Ahmad S. Khalil, N.C. Helman, Szilvia Kiriakov, Clement T. Y. Chan, Jeong Wook Lee, Hozefa S. Bandukwala and Omid Veiseh and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Caleb J. Bashor

24 papers receiving 2.8k citations

Hit Papers

A brief history of synthetic biology 2014 2026 2018 2022 2014 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caleb J. Bashor United States 18 2.3k 455 386 191 166 25 2.8k
Karen M. Polizzi United Kingdom 32 2.6k 1.1× 775 1.7× 273 0.7× 142 0.7× 393 2.4× 105 3.4k
Xavier Rios United States 9 2.5k 1.1× 225 0.5× 380 1.0× 270 1.4× 97 0.6× 14 2.7k
Bryan S. Der United States 18 1.6k 0.7× 207 0.5× 233 0.6× 61 0.3× 97 0.6× 22 1.9k
Shaorong Chong United States 22 2.5k 1.1× 187 0.4× 376 1.0× 119 0.6× 125 0.8× 42 2.7k
Mark Isalan United Kingdom 30 2.3k 1.0× 189 0.4× 654 1.7× 186 1.0× 43 0.3× 80 2.7k
Jangir Selimkhanov United States 13 905 0.4× 435 1.0× 204 0.5× 72 0.4× 280 1.7× 19 1.5k
Søren L. Pedersen Denmark 28 1.3k 0.6× 367 0.8× 227 0.6× 214 1.1× 81 0.5× 81 2.3k
Anne S. Robinson United States 30 2.5k 1.1× 221 0.5× 219 0.6× 85 0.4× 435 2.6× 104 3.0k
Sriram Kosuri United States 22 5.2k 2.2× 324 0.7× 1.1k 2.9× 395 2.1× 108 0.7× 33 5.6k
Florian Richter Germany 26 2.4k 1.0× 112 0.2× 201 0.5× 193 1.0× 64 0.4× 51 3.1k

Countries citing papers authored by Caleb J. Bashor

Since Specialization
Citations

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

Fields of papers citing papers by Caleb J. Bashor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caleb J. Bashor. 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 Caleb J. Bashor. The network helps show where Caleb J. Bashor may publish in the future.

Co-authorship network of co-authors of Caleb J. Bashor

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

All Works

20 of 20 papers shown
1.
Kille, Bryce, et al.. (2026). Ultra-high-throughput mapping of genetic design space. Nature. 650(8103). 1035–1044.
2.
Yang, Xiaoyu, Jason W. Rocks, Kaiyi Jiang, et al.. (2025). Engineering synthetic phosphorylation signaling networks in human cells. Science. 387(6729). 74–81. 8 indexed citations
3.
Patel, Ankit, et al.. (2024). Using machine learning to enhance and accelerate synthetic biology. Current Opinion in Biomedical Engineering. 31. 100553–100553. 8 indexed citations
4.
Bashor, Caleb J., et al.. (2023). Tumor-associated macrophages induce inflammation and drug resistance in a mechanically tunable engineered model of osteosarcoma. Biomaterials. 296. 122076–122076. 25 indexed citations
5.
6.
Bragdon, Meghan D. J., et al.. (2023). Cooperative assembly confers regulatory specificity and long-term genetic circuit stability. Cell. 186(18). 3810–3825.e18. 29 indexed citations
7.
Bashor, Caleb J., Isaac B. Hilton, Hozefa S. Bandukwala, Devyn M. Smith, & Omid Veiseh. (2022). Engineering the next generation of cell-based therapeutics. Nature Reviews Drug Discovery. 21(9). 655–675. 249 indexed citations breakdown →
8.
Becce, Michele, Anna Klöckner, Stuart G. Higgins, et al.. (2021). Assessing the impact of silicon nanowires on bacterial transformation and viability of Escherichia coli. Journal of Materials Chemistry B. 9(24). 4906–4914. 10 indexed citations
9.
Heins, Zachary, Christopher P. Mancuso, Szilvia Kiriakov, et al.. (2019). Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER. Journal of Visualized Experiments. 3 indexed citations
10.
Heins, Zachary, Christopher P. Mancuso, Szilvia Kiriakov, et al.. (2019). Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER. Journal of Visualized Experiments. 8 indexed citations
11.
Wong, Brandon G., Christopher P. Mancuso, Szilvia Kiriakov, Caleb J. Bashor, & Ahmad S. Khalil. (2018). Precise, automated control of conditions for high-throughput growth of yeast and bacteria with eVOLVER. Nature Biotechnology. 36(7). 614–623. 161 indexed citations
12.
Bashor, Caleb J. & James J. Collins. (2018). Understanding Biological Regulation Through Synthetic Biology. Annual Review of Biophysics. 47(1). 399–423. 69 indexed citations
13.
Gordley, Russell M., et al.. (2016). Engineering dynamical control of cell fate switching using synthetic phospho-regulons. Proceedings of the National Academy of Sciences. 113(47). 13528–13533. 39 indexed citations
14.
Chan, Clement T. Y., Jeong Wook Lee, D. Ewen Cameron, Caleb J. Bashor, & James J. Collins. (2015). 'Deadman' and 'Passcode' microbial kill switches for bacterial containment. Nature Chemical Biology. 12(2). 82–86. 263 indexed citations
15.
Keung, Albert J., Caleb J. Bashor, Szilvia Kiriakov, James J. Collins, & Ahmad S. Khalil. (2014). Using Targeted Chromatin Regulators to Engineer Combinatorial and Spatial Transcriptional Regulation. Cell. 158(1). 110–120. 106 indexed citations
16.
Cameron, D. Ewen, Caleb J. Bashor, & James J. Collins. (2014). A brief history of synthetic biology. Nature Reviews Microbiology. 12(5). 381–390. 586 indexed citations breakdown →
17.
Khalil, Ahmad S., Timothy K. Lu, Caleb J. Bashor, et al.. (2012). A Synthetic Biology Framework for Programming Eukaryotic Transcription Functions. Cell. 150(3). 647–658. 260 indexed citations
18.
Bhattacharyya, Roby P., Attila Reményi, Matthew C. Good, et al.. (2006). The Ste5 Scaffold Allosterically Modulates Signaling Output of the Yeast Mating Pathway. Science. 311(5762). 822–826. 221 indexed citations
19.
Schumacher, Maria A., Caleb J. Bashor, Shuren Zhu, et al.. (2002). The structural mechanism of GTP stabilized oligomerization and catalytic activation of the Toxoplasma gondii uracil phosphoribosyltransferase. Proceedings of the National Academy of Sciences. 99(1). 78–83. 26 indexed citations
20.
Bashor, Caleb J. & David A. Dalton. (1999). Effects of exogenous application and stem infusion of ascorbate on soybean (Glycine max) root nodules. New Phytologist. 142(1). 19–26. 21 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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