Laura Prochazka

1.1k total citations · 1 hit paper
11 papers, 792 citations indexed

About

Laura Prochazka is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Laura Prochazka has authored 11 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Biomedical Engineering and 1 paper in Oncology. Recurrent topics in Laura Prochazka's work include CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (5 papers) and 3D Printing in Biomedical Research (4 papers). Laura Prochazka is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (5 papers) and 3D Printing in Biomedical Research (4 papers). Laura Prochazka collaborates with scholars based in Switzerland, Canada and United Kingdom. Laura Prochazka's co-authors include Yaakov Benenson, Zhen Xie, Liliana Wróblewska, Ron Weiss, Peter W. Zandstra, Mukul Tewary, Joel Östblom, Nika Shakiba, Rodrigo Fernández‐González and Teresa Zulueta-Coarasa and has published in prestigious journals such as Science, Nature Communications and Development.

In The Last Decade

Laura Prochazka

11 papers receiving 775 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multi-Input RNAi-Based Logic Circuit for Identification of Specific Cancer Cells

2011 554 citations Zhen Xie, Liliana Wróblewska et al. Science profile →

Peers

Laura Prochazka

MB

BE

GENET

CB

ONCOL

Brian Teague United States

Ruoyi Qiu United States

Gavin Meredith United States

Barbara Mair Austria

Rui Hong United States

Ineke Brouwer Netherlands

Michelle Miller Canada

Mark M. Stevens United States

Tara L. Deans United States

Brian Teague United States

Laura Prochazka

586 ×0.8

MB

128 ×0.7

BE

192 ×2.5

GENET

20 ×0.4

CB

61 ×1.3

ONCOL

Citations per year, relative to Laura Prochazka Laura Prochazka (= 1×) peers Brian Teague

Countries citing papers authored by Laura Prochazka

Since Specialization

Citations

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

Fields of papers citing papers by Laura Prochazka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Prochazka

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

All Works

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11 of 11 papers shown

1.

Prochazka, Laura, Elisa Martinez, Libin Abraham, et al.. (2025). Abstract 4809: Preclinical characterization of an iPSC-derived allogeneic CD19/CD20 CAR-T cell designed to address multiple limitations of current CAR-Ts. Cancer Research. 85(8_Supplement_1). 4809–4809. 1 indexed citations

2.

Prochazka, Laura, Yale S. Michaels, Ross D. Jones, et al.. (2022). Synthetic gene circuits for cell state detection and protein tuning in human pluripotent stem cells. Molecular Systems Biology. 18(11). e10886–e10886. 9 indexed citations

3.

Tewary, Mukul, Alexander Keller, Laurentijn Tilleman, et al.. (2021). Endogenous suppression of WNT signalling in human embryonic stem cells leads to low differentiation propensity towards definitive endoderm. Scientific Reports. 11(1). 6137–6137. 7 indexed citations

4.

Tewary, Mukul, Joel Östblom, Laura Prochazka, et al.. (2019). High-throughput micropatterning platform reveals Nodal-dependent bisection of peri-gastrulation–associated versus preneurulation-associated fate patterning. PLoS Biology. 17(10). e3000081–e3000081. 30 indexed citations

5.

Schreiber, J., et al.. (2018). Workflow for In Vivo Evaluation of Candidate Inputs and Outputs for Cell Classifier Gene Circuits. 1 indexed citations

6.

Tewary, Mukul, Joel Östblom, Laura Prochazka, et al.. (2017). A stepwise model of Reaction-Diffusion and Positional-Information governs self-organized human peri-gastrulation-like patterning. Development. 144(23). 4298–4312. 116 indexed citations

7.

Schreiber, Joerg, et al.. (2017). A Workflow for In Vivo Evaluation of Candidate Inputs and Outputs for Cell Classifier Gene Circuits. ACS Synthetic Biology. 7(2). 474–489. 10 indexed citations

8.

Prochazka, Laura, Yaakov Benenson, & Peter W. Zandstra. (2017). Synthetic gene circuits and cellular decision-making in human pluripotent stem cells. Current Opinion in Systems Biology. 5. 93–103. 15 indexed citations

9.

Prochazka, Laura, et al.. (2016). Precision multidimensional assay for high-throughput microRNA drug discovery. Nature Communications. 7(1). 10709–10709. 16 indexed citations

10.

Prochazka, Laura, et al.. (2014). Highly modular bow-tie gene circuits with programmable dynamic behaviour. Nature Communications. 5(1). 4729–4729. 33 indexed citations

11.

Xie, Zhen, Liliana Wróblewska, Laura Prochazka, Ron Weiss, & Yaakov Benenson. (2011). Multi-Input RNAi-Based Logic Circuit for Identification of Specific Cancer Cells. Science. 333(6047). 1307–1311. 554 indexed citations breakdown →

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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