Juan Manuel Pedraza

2.2k total citations · 1 hit paper
23 papers, 1.5k citations indexed

About

Juan Manuel Pedraza is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Juan Manuel Pedraza has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Genetics and 4 papers in Biophysics. Recurrent topics in Juan Manuel Pedraza's work include Gene Regulatory Network Analysis (18 papers), Evolution and Genetic Dynamics (11 papers) and Bacterial Genetics and Biotechnology (8 papers). Juan Manuel Pedraza is often cited by papers focused on Gene Regulatory Network Analysis (18 papers), Evolution and Genetic Dynamics (11 papers) and Bacterial Genetics and Biotechnology (8 papers). Juan Manuel Pedraza collaborates with scholars based in United States, Colombia and Türkiye. Juan Manuel Pedraza's co-authors include Alexander van Oudenaarden, Johan Paulsson, Remy Chait, Roy Kishony, Erdal Toprak, Adrian Veres, Jerome T. Mettetal, Ertuğrul M. Özbudak, Dale Muzzey and J Chabot and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Juan Manuel Pedraza

23 papers receiving 1.5k citations

Hit Papers

Noise Propagation in Gene Networks 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Manuel Pedraza United States 10 1.3k 544 166 152 108 23 1.5k
Vahid Shahrezaei United Kingdom 24 1.9k 1.5× 538 1.0× 184 1.1× 137 0.9× 117 1.1× 56 2.3k
Jonathan W. Young United States 7 1.2k 0.9× 488 0.9× 278 1.7× 199 1.3× 52 0.5× 13 1.5k
William Mather United States 16 1.3k 1.0× 371 0.7× 145 0.9× 274 1.8× 118 1.1× 23 1.6k
Iren Kurtser United States 9 1.5k 1.2× 848 1.6× 149 0.9× 103 0.7× 107 1.0× 9 1.7k
Jesse Stricker United States 8 1.3k 1.0× 715 1.3× 122 0.7× 149 1.0× 66 0.6× 8 1.6k
David R. McMillen Canada 18 2.0k 1.5× 542 1.0× 176 1.1× 243 1.6× 244 2.3× 40 2.3k
Han N. Lim United States 19 1.6k 1.2× 810 1.5× 80 0.5× 90 0.6× 85 0.8× 25 2.0k
Lydia Robert France 13 899 0.7× 581 1.1× 156 0.9× 322 2.1× 24 0.2× 19 1.4k
Octavio Mondragón-Palomino United States 8 894 0.7× 242 0.4× 87 0.5× 404 2.7× 79 0.7× 12 1.2k
Yuichi Taniguchi Japan 12 1.6k 1.3× 549 1.0× 214 1.3× 248 1.6× 64 0.6× 32 2.1k

Countries citing papers authored by Juan Manuel Pedraza

Since Specialization
Citations

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

Fields of papers citing papers by Juan Manuel Pedraza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Manuel Pedraza. 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 Juan Manuel Pedraza. The network helps show where Juan Manuel Pedraza may publish in the future.

Co-authorship network of co-authors of Juan Manuel Pedraza

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Manuel Pedraza. A scholar is included among the top collaborators of Juan Manuel Pedraza 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 Juan Manuel Pedraza. Juan Manuel Pedraza 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.
Vargas-García, Cesar A., et al.. (2024). Mechanisms of cell size regulation in slow-growing Escherichia coli cells: discriminating models beyond the adder. npj Systems Biology and Applications. 10(1). 61–61. 4 indexed citations
2.
Vargas-García, Cesar A., et al.. (2023). PyEcoLib: a python library for simulating stochastic cell size dynamics. Physical Biology. 20(4). 45006–45006. 2 indexed citations
3.
Escobar, María, Catalina Gómez, Jorge Madrid‐Wolff, et al.. (2022). Smart pooling: AI-powered COVID-19 informative group testing. Scientific Reports. 12(1). 6519–6519. 6 indexed citations
4.
Vargas-García, Cesar A., et al.. (2022). Cell size control shapes fluctuations in colony population. 2022 IEEE 61st Conference on Decision and Control (CDC). 3219–3224. 3 indexed citations
5.
Vargas-García, Cesar A., et al.. (2022). Modeling cell size control under dynamic environments. IFAC-PapersOnLine. 55(40). 133–138. 1 indexed citations
6.
Vargas-García, Cesar A., et al.. (2021). Continuous rate modeling of bacterial stochastic size dynamics. Physical review. E. 104(4). 44415–44415. 6 indexed citations
7.
Vargas-García, Cesar A., et al.. (2020). Correlation between protein concentration and bacterial cell size can reveal mechanisms of gene expression. Physical Biology. 17(4). 45002–45002. 8 indexed citations
8.
Sánchez, Carlos Martínez, et al.. (2020). Unification of cell division control strategies through continuous rate models. Physical review. E. 101(2). 22401–22401. 24 indexed citations
9.
Pedraza, Juan Manuel, et al.. (2020). Slipstreaming Mother Machine: A Microfluidic Device for Single-Cell Dynamic Imaging of Yeast. Micromachines. 12(1). 4–4. 4 indexed citations
10.
Vargas-García, Cesar A., et al.. (2019). Efficient computation of stochastic cell-size transient dynamics. BMC Bioinformatics. 20(S23). 647–647. 13 indexed citations
11.
Cañas-Duarte, Silvia J., Silvia Restrepo, & Juan Manuel Pedraza. (2014). Novel Protocol for Persister Cells Isolation. PLoS ONE. 9(2). e88660–e88660. 44 indexed citations
12.
Avendaño, Mauricio, Chad Leidy, & Juan Manuel Pedraza. (2013). Tuning the range and stability of multiple phenotypic states with coupled positive–negative feedback loops. Nature Communications. 4(1). 2605–2605. 33 indexed citations
13.
Toprak, Erdal, Adrian Veres, Juan Manuel Pedraza, et al.. (2013). Building a morbidostat: an automated continuous-culture device for studying bacterial drug resistance under dynamically sustained drug inhibition. Nature Protocols. 8(3). 555–567. 96 indexed citations
14.
Avendaño, Mauricio, Chad Leidy, Alexander van Oudenaarden, & Juan Manuel Pedraza. (2010). Tuning the Range and Stability of Multiple Phenotypic States with Coupled Positive-Negative Feedback Loops. Biophysical Journal. 98(3). 430a–430a. 9 indexed citations
15.
Pedraza, Juan Manuel & Johan Paulsson. (2008). Effects of Molecular Memory and Bursting on Fluctuations in Gene Expression. Science. 319(5861). 339–343. 300 indexed citations
16.
Chabot, J, et al.. (2007). Stochastic gene expression out-of-steady-state in the cyanobacterial circadian clock. Nature. 450(7173). 1249–1252. 87 indexed citations
17.
Carrasco, Rosa M., et al.. (2007). El análisis de susceptibilidad en la prevención de los movimientos de ladera: un análisis comparativo de las metodologías aplicadas en el Valle del Jerte (Sistema Central Español). Dialnet (Universidad de la Rioja). 221–246. 1 indexed citations
18.
Mettetal, Jerome T., Dale Muzzey, Juan Manuel Pedraza, Ertuğrul M. Özbudak, & Alexander van Oudenaarden. (2006). Predicting stochastic gene expression dynamics in single cells. Proceedings of the National Academy of Sciences. 103(19). 7304–7309. 124 indexed citations
19.
Pedraza, Juan Manuel & Alexander van Oudenaarden. (2005). Noise Propagation in Gene Networks. Science. 307(5717). 1965–1969. 615 indexed citations breakdown →
20.
Binder, P.‐M., et al.. (1999). An invertibility paradox. American Journal of Physics. 67(12). 1091–1093. 3 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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