Javier Macía

1.4k total citations
32 papers, 945 citations indexed

About

Javier Macía is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Javier Macía has authored 32 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Biomedical Engineering. Recurrent topics in Javier Macía's work include Gene Regulatory Network Analysis (16 papers), Photoreceptor and optogenetics research (5 papers) and Single-cell and spatial transcriptomics (4 papers). Javier Macía is often cited by papers focused on Gene Regulatory Network Analysis (16 papers), Photoreceptor and optogenetics research (5 papers) and Single-cell and spatial transcriptomics (4 papers). Javier Macía collaborates with scholars based in Spain, United States and Austria. Javier Macía's co-authors include Ricard V. Solé, Francesc Posas, Núria Conde–Pueyo, Sergi Regot, T Peeters, Eulàlia de Nadal, Stefanie Widder, Carlos Rodríguez‐Caso, Stefan Hohmann and Kentaro Furukawa and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Javier Macía

30 papers receiving 929 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Macía Spain 16 776 177 143 114 100 32 945
Núria Conde–Pueyo Spain 13 596 0.8× 150 0.8× 83 0.6× 51 0.4× 26 0.3× 17 745
Ernesto Andrianantoandro United States 3 905 1.2× 186 1.1× 171 1.2× 104 0.9× 38 0.4× 7 1.4k
Jangir Selimkhanov United States 13 905 1.2× 435 2.5× 204 1.4× 129 1.1× 66 0.7× 19 1.5k
Scott Cookson United States 7 937 1.2× 283 1.6× 225 1.6× 65 0.6× 18 0.2× 7 1.2k
Subhayu Basu United States 6 1.8k 2.3× 515 2.9× 449 3.1× 83 0.7× 61 0.6× 8 2.1k
Octavio Mondragón-Palomino United States 8 894 1.2× 404 2.3× 242 1.7× 73 0.6× 14 0.1× 12 1.2k
William Mather United States 16 1.3k 1.6× 274 1.5× 371 2.6× 77 0.7× 16 0.2× 23 1.6k
Tony Tsai United States 13 854 1.1× 113 0.6× 164 1.1× 205 1.8× 15 0.1× 17 1.4k
David R. McMillen Canada 18 2.0k 2.6× 243 1.4× 542 3.8× 93 0.8× 22 0.2× 40 2.3k
Raúl Montañez Spain 15 404 0.5× 61 0.3× 123 0.9× 55 0.5× 28 0.3× 27 694

Countries citing papers authored by Javier Macía

Since Specialization
Citations

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

Fields of papers citing papers by Javier Macía

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Macía

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Macía. A scholar is included among the top collaborators of Javier Macía 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 Javier Macía. Javier Macía 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.
Macía, Javier, et al.. (2025). Irregular light schedules disrupt daily rhythms and dysregulate genes involved in neuroplasticity, motivation, and stress responses. Pharmacology Biochemistry and Behavior. 255. 174075–174075. 1 indexed citations
2.
Macía, Javier, et al.. (2025). Characterization of recombinase activity across cellular growth phases. Scientific Reports. 15(1). 31311–31311.
3.
Macía, Javier, et al.. (2024). Lack of Bmal1 leads to changes in rhythmicity and impairs motivation towards natural stimuli. Open Biology. 14(7). 240051–240051. 4 indexed citations
4.
Sánchez-Mejías, Avencia, et al.. (2024). Intein-mediated thyroid hormone biosensors: towards controlled delivery of hormone therapy. SHILAP Revista de lepidopterología. 4. 1270071–1270071.
5.
Gonzalez-Flo, Eva, et al.. (2023). Evolutionary algorithm for the optimization of meal intake and insulin administration in patients with type 2 diabetes. Frontiers in Physiology. 14. 1149698–1149698. 2 indexed citations
6.
Gonzalez-Flo, Eva, et al.. (2021). 2D printed multicellular devices performing digital and analogue computation. Nature Communications. 12(1). 1679–1679. 6 indexed citations
7.
Macía, Javier, et al.. (2020). General Analyses of Gene Expression Dependencies on Genetic Burden. Frontiers in Bioengineering and Biotechnology. 8. 1017–1017. 1 indexed citations
8.
Gonzalez-Flo, Eva, et al.. (2020). Two-Component Biosensors: Unveiling the Mechanisms of Predictable Tunability. ACS Synthetic Biology. 9(6). 1328–1335. 15 indexed citations
9.
Macía, Javier, et al.. (2016). Implementation of Complex Biological Logic Circuits Using Spatially Distributed Multicellular Consortia. PLoS Computational Biology. 12(2). e1004685–e1004685. 50 indexed citations
10.
Sardanyés, Josep, et al.. (2015). Computational implementation of a tunable multicellular memory circuit for engineered eukaryotic consortia. Frontiers in Physiology. 6. 281–281. 12 indexed citations
11.
Duran‐Nebreda, Salva, et al.. (2014). A bottom-up characterization of transfer functions for synthetic biology designs: lessons from enzymology. Nucleic Acids Research. 42(22). 14060–14069. 15 indexed citations
12.
Macía, Javier & Ricard V. Solé. (2014). How to Make a Synthetic Multicellular Computer. PLoS ONE. 9(2). e81248–e81248. 23 indexed citations
13.
Widder, Stefanie, Ricard V. Solé, & Javier Macía. (2012). Evolvability of feed-forward loop architecture biases its abundance in transcription networks. BMC Systems Biology. 6(1). 7–7. 15 indexed citations
14.
Macía, Javier, Francesc Posas, & Ricard V. Solé. (2012). Distributed computation: the new wave of synthetic biology devices. Trends in biotechnology. 30(6). 342–349. 67 indexed citations
15.
Macía, Javier, Ricard V. Solé, & Santiago F. Elena. (2011). THE CAUSES OF EPISTASIS IN GENETIC NETWORKS. Evolution. 66(2). 586–596. 13 indexed citations
16.
Regot, Sergi, Javier Macía, Núria Conde–Pueyo, et al.. (2010). Distributed biological computation with multicellular engineered networks. Nature. 469(7329). 207–211. 247 indexed citations
17.
Widder, Stefanie, Javier Macía, & Ricard V. Solé. (2009). Monomeric Bistability and the Role of Autoloops in Gene Regulation. PLoS ONE. 4(4). e5399–e5399. 10 indexed citations
18.
Macía, Javier, Stefanie Widder, & Ricard V. Solé. (2009). Specialized or flexible feed-forward loop motifs: a question of topology. BMC Systems Biology. 3(1). 84–84. 31 indexed citations
19.
Macía, Javier & Ricard V. Solé. (2006). Protocell self-reproduction in a spatially extended metabolism–vesicle system. Journal of Theoretical Biology. 245(3). 400–410. 19 indexed citations
20.
Macía, Javier & Ricard V. Solé. (2005). Computational Modeling of Protocell Division: A Spatially Extended Metabolism-Membrane System. arXiv (Cornell University). 2 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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