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Jorge Gomez Tejeda Zanudo, Ph.D.

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Pennsylvania State UniversityPh.D.05/2016Physics
Pennsylvania State UniversityPostdoc03/2019Systems Biology / Physics
Broad InstitutePostdoc12/2020Systems Biology/ Cancer Genomics


Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Newby E, Tejeda Zañudo JG, Albert R. Structure-based approach to identifying small sets of driver nodes in biological networks. Chaos. 2022 Jun; 32(6):063102. PMID: 35778133.
    Citations:    Fields:    
  2. Rozum JC, Deritei D, Park KH, Gómez Tejeda Zañudo J, Albert R. pystablemotifs: Python library for attractor identification and control in Boolean networks. Bioinformatics. 2022 02 07; 38(5):1465-1466. PMID: 34875008.
    Citations: 1     Fields:    
  3. Fatemi Nasrollahi FS, Gómez Tejeda Zañudo J, Campbell C, Albert R. Relationships among generalized positive feedback loops determine possible community outcomes in plant-pollinator interaction networks. Phys Rev E. 2021 Nov; 104(5-1):054304. PMID: 34942827.
    Citations: 1     Fields:    Translation:Animals
  4. Rozum JC, Gómez Tejeda Zañudo J, Gan X, Deritei D, Albert R. Parity and time reversal elucidate both decision-making in empirical models and attractor scaling in critical Boolean networks. Sci Adv. 2021 Jul; 7(29). PMID: 34272246.
    Citations: 3     Fields:    
  5. Gómez Tejeda Zañudo J, Mao P, Alcon C, Kowalski K, Johnson GN, Xu G, Baselga J, Scaltriti M, Letai A, Montero J, Albert R, Wagle N. Cell Line-Specific Network Models of ER+ Breast Cancer Identify Potential PI3Ka Inhibitor Resistance Mechanisms and Drug Combinations. Cancer Res. 2021 09 01; 81(17):4603-4617. PMID: 34257082; PMCID: PMC8744502.
    Citations: 2     Fields:    Translation:HumansCells
  6. Alcon C, Gómez Tejeda Zañudo J, Albert R, Wagle N, Scaltriti M, Letai A, Samitier J, Montero J. ER+ Breast Cancer Strongly Depends on MCL-1 and BCL-xL Anti-Apoptotic Proteins. Cells. 2021 07 02; 10(7). PMID: 34359829; PMCID: PMC8304651.
    Citations: 5     Fields:    Translation:HumansCells
  7. Wooten DJ, Zañudo JGT, Murrugarra D, Perry AM, Dongari-Bagtzoglou A, Laubenbacher R, Nobile CJ, Albert R. Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies. PLoS Comput Biol. 2021 03; 17(3):e1008690. PMID: 33780439.
    Citations: 2     Fields:    Translation:Animals
  8. Painter CA, Jain E, Tomson BN, Dunphy M, Stoddard RE, Thomas BS, Damon AL, Shah S, Kim D, Gómez Tejeda Zañudo J, Hornick JL, Chen YL, Merriam P, Raut CP, Demetri GD, Van Tine BA, Lander ES, Golub TR, Wagle N. The Angiosarcoma Project: enabling genomic and clinical discoveries in a rare cancer through patient-partnered research. Nat Med. 2020 02; 26(2):181-187. PMID: 32042194.
    Citations: 48     Fields:    Translation:Humans
  9. Gómez Tejeda Zañudo J, Guinn MT, Farquhar K, Szenk M, Steinway SN, Balázsi G, Albert R. Towards control of cellular decision-making networks in the epithelial-to-mesenchymal transition. Phys Biol. 2019 03 07; 16(3):031002. PMID: 30654341; PMCID: PMC6405305.
    Citations: 20     Fields:    
  10. Yang G, Gómez Tejeda Zañudo J, Albert R. Target Control in Logical Models Using the Domain of Influence of Nodes. Front Physiol. 2018; 9:454. PMID: 29867523; PMCID: PMC5951947.
    Citations: 9     
  11. Gómez Tejeda Zañudo J, Scaltriti M, Albert R. A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer. Cancer Converg. 2017; 1(1):5. PMID: 29623959; PMCID: PMC5876695.
    Citations: 23     
  12. Albert R, Acharya BR, Jeon BW, Zañudo JGT, Zhu M, Osman K, Assmann SM. A new discrete dynamic model of ABA-induced stomatal closure predicts key feedback loops. PLoS Biol. 2017 Sep; 15(9):e2003451. PMID: 28937978; PMCID: PMC5627951.
    Citations: 17     Fields:    Translation:AnimalsCells
  13. Zañudo JGT, Yang G, Albert R. Structure-based control of complex networks with nonlinear dynamics. Proc Natl Acad Sci U S A. 2017 07 11; 114(28):7234-7239. PMID: 28655847; PMCID: PMC5514702.
    Citations: 54     Fields:    
  14. Steinway SN, Zañudo JGT, Michel PJ, Feith DJ, Loughran TP, Albert R. Combinatorial interventions inhibit TGFß-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes. NPJ Syst Biol Appl. 2015; 1:15014. PMID: 28725463.
    Citations: 46     Fields:    
  15. Zañudo JG, Albert R. Cell fate reprogramming by control of intracellular network dynamics. PLoS Comput Biol. 2015 Apr; 11(4):e1004193. PMID: 25849586; PMCID: PMC4388852.
    Citations: 58     Fields:    Translation:HumansCells
  16. Steinway SN, Zañudo JG, Ding W, Rountree CB, Feith DJ, Loughran TP, Albert R. Network modeling of TGFß signaling in hepatocellular carcinoma epithelial-to-mesenchymal transition reveals joint sonic hedgehog and Wnt pathway activation. Cancer Res. 2014 Nov 01; 74(21):5963-77. PMID: 25189528.
    Citations: 107     Fields:    Translation:HumansAnimalsCells
  17. Zañudo JG, Albert R. An effective network reduction approach to find the dynamical repertoire of discrete dynamic networks. Chaos. 2013 Jun; 23(2):025111. PMID: 23822509.
    Citations: 41     Fields:    Translation:HumansCells
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.