Pablo Carbonell

4.8k total citations
99 papers, 2.8k citations indexed

About

Pablo Carbonell is a scholar working on Molecular Biology, Biomedical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Pablo Carbonell has authored 99 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 16 papers in Biomedical Engineering and 11 papers in Computational Theory and Mathematics. Recurrent topics in Pablo Carbonell's work include Microbial Metabolic Engineering and Bioproduction (45 papers), Gene Regulatory Network Analysis (18 papers) and Viral Infectious Diseases and Gene Expression in Insects (15 papers). Pablo Carbonell is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (45 papers), Gene Regulatory Network Analysis (18 papers) and Viral Infectious Diseases and Gene Expression in Insects (15 papers). Pablo Carbonell collaborates with scholars based in Spain, France and United Kingdom. Pablo Carbonell's co-authors include Jean‐Loup Faulon, Thomas Duigou, Baudoin Delépine, Zhong‐Ping Jiang, D.W. Repperger, Anne‐Gaëlle Planson, Irene Otero‐Muras, Eriko Takano, Nigel S. Scrutton and Jean‐Yves Trosset and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Pablo Carbonell

95 papers receiving 2.7k citations

Peers

Pablo Carbonell

GENET

CTM

PHARM

William P. Janzen United States

Jianrong Xu China

Yuanfang Guan United States

Kazım Yalçın Arğa Türkiye

Krzysztof Bielawski Poland

Yinyin Wang China

Hiroyuki Kurata Japan

Edward Price United States

André C. Müller Austria

Qingxia Yang China

William P. Janzen United States

Pablo Carbonell

2.5k ×1.2

302 ×0.5

191 ×0.5

GENET

567 ×2.0

CTM

224 ×1.0

PHARM

Citations per year, relative to Pablo Carbonell Pablo Carbonell (= 1×) peers William P. Janzen

Countries citing papers authored by Pablo Carbonell

Since Specialization

Citations

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

Fields of papers citing papers by Pablo Carbonell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Carbonell

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

All Works

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20 of 20 papers shown

Henriques, David, et al.. (2025). Context-Aware Biosensor Design Through Biology-Guided Machine Learning and Dynamical Modeling. ACS Synthetic Biology. 14(6). 2094–2104. 1 indexed citations

Sveshnikova, Anastasia, Vassily Hatzimanikatis, Paulo Vilaça, et al.. (2024). Computer-aided design and implementation of efficient biosynthetic pathways to produce high added-value products derived from tyrosine in Escherichia coli. Frontiers in Bioengineering and Biotechnology. 12. 1360740–1360740. 3 indexed citations

Duigou, Thomas, Gizem Buldum, Olivier Telle, et al.. (2022). The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering. Nature Communications. 13(1). 5082–5082. 25 indexed citations

Pérez-Sánz, Fernando, José García‐Solano, Patricia Sebastián-León, et al.. (2021). Global Methylome Scores Correlate with Histological Subtypes of Colorectal Carcinoma and Show Different Associations with Common Clinical and Molecular Features. Cancers. 13(20). 5165–5165. 2 indexed citations

Dunstan, Mark S., Christopher Robinson, Adrian J. Jervis, et al.. (2020). Engineering Escherichia coli towards de novo production of gatekeeper (2S)-flavanones: naringenin, pinocembrin, eriodictyol and homoeriodictyol. PubMed. 5(1). ysaa012–ysaa012. 54 indexed citations

Otero‐Muras, Irene & Pablo Carbonell. (2020). Automated engineering of synthetic metabolic pathways for efficient biomanufacturing. Metabolic Engineering. 63. 61–80. 55 indexed citations

Currin, Andrew, Neil Swainston, Mark S. Dunstan, et al.. (2019). Highly multiplexed, fast and accurate nanopore sequencing for verification of synthetic DNA constructs and sequence libraries. PubMed. 4(1). ysz025–ysz025. 34 indexed citations

Grozinger, Lewis, Martyn Amos, Thomas E. Gorochowski, et al.. (2019). Pathways to cellular supremacy in biocomputing. Nature Communications. 10(1). 5250–5250. 108 indexed citations

Jervis, Adrian J., Pablo Carbonell, Sandra Taylor, et al.. (2019). SelProm: A Queryable and Predictive Expression Vector Selection Tool for Escherichia coli. ACS Synthetic Biology. 8(7). 1478–1483. 37 indexed citations

10.

Carbonell, Pablo, Jerry Wong, Neil Swainston, et al.. (2018). Selenzyme: enzyme selection tool for pathway design. Bioinformatics. 34(12). 2153–2154. 69 indexed citations

11.

Swainston, Neil, Mark S. Dunstan, Adrian J. Jervis, et al.. (2018). PartsGenie: an integrated tool for optimizing and sharing synthetic biology parts. Bioinformatics. 34(13). 2327–2329. 22 indexed citations

12.

Carbonell, Pablo, Baudoin Delépine, & Jean‐Loup Faulon. (2017). Extended Metabolic Space Modeling. Methods in molecular biology. 1671. 83–96. 3 indexed citations

13.

Carbonell, Pablo. (2016). Hepatotoxicity prediction by systems biology modeling of disturbed metabolic pathways using gene expression data. ALTEX. 34(2). 219–234. 14 indexed citations

14.

Fehér, Tamás, Vincent Libis, Pablo Carbonell, & Jean‐Loup Faulon. (2015). A sense of balance: experimental investigation and modeling of a malonyl-CoA sensor in Escherichia coli. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

15.

Trosset, Jean‐Yves & Pablo Carbonell. (2013). Synergistic Synthetic Biology: Units in Concert. Frontiers in Bioengineering and Biotechnology. 1. 11–11. 7 indexed citations

16.

Valle, Laura, et al.. (2007). MLH1 germline epimutations in selected patients with early‐onset non‐polyposis colorectal cancer. Clinical Genetics. 71(3). 232–237. 48 indexed citations

17.

Carbonell, Pablo. (2006). Efficient Fuzzy Logic-Based Algorithm for Microarray Network Identification and Prediction in Bioinformatics. Elektronika ir Elektrotechnika. 67(3). 37–40. 1 indexed citations

18.

Glóver, G., et al.. (2001). [Diagnosis of fragile X syndrome].. PubMed. 33 Suppl 1. S6–9. 1 indexed citations

19.

Kruyer, H., Montserrat Milà, G. Glóver, et al.. (1994). Fragile X syndrome and the (CGG)n mutation: two families with discordant MZ twins.. PubMed. 54(3). 437–42. 79 indexed citations

20.

Kruyer, H., G. Glóver, Pablo Carbonell, et al.. (1994). Molecular analysis of the (CGG)n expansion in the FMR-1 gene in 59 Spanish fragile X syndrome families. Human Genetics. 94(4). 395–400. 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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