Alejandro Garcia-Diaz

685 total citations
8 papers, 495 citations indexed

About

Alejandro Garcia-Diaz is a scholar working on Molecular Biology, Cell Biology and Developmental Neuroscience. According to data from OpenAlex, Alejandro Garcia-Diaz has authored 8 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Developmental Neuroscience. Recurrent topics in Alejandro Garcia-Diaz's work include Cellular transport and secretion (3 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Alejandro Garcia-Diaz is often cited by papers focused on Cellular transport and secretion (3 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Alejandro Garcia-Diaz collaborates with scholars based in United States, France and Portugal. Alejandro Garcia-Diaz's co-authors include James E. Rothman, Thomas J. Melia, Claudio G. Giraudo, William Eng, Hynek Wichterle, Laurent Roybon, Christopher E. Henderson, Nuno Jorge Lamas, Yuhang Chen and Wayne A. Hendrickson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Alejandro Garcia-Diaz

8 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Garcia-Diaz United States 8 340 196 136 93 60 8 495
Gee Y. Ching United States 12 287 0.8× 174 0.9× 125 0.9× 47 0.5× 30 0.5× 14 474
Tal Gradus Israel 9 443 1.3× 81 0.4× 292 2.1× 50 0.5× 33 0.6× 9 699
Seng Zhu France 10 274 0.8× 76 0.4× 151 1.1× 17 0.2× 100 1.7× 10 557
Almudena Pacheco United States 12 475 1.4× 120 0.6× 195 1.4× 67 0.7× 14 0.2× 15 721
D Muir United Kingdom 9 289 0.8× 96 0.5× 255 1.9× 300 3.2× 80 1.3× 16 731
E. Anne Buckmaster United Kingdom 9 256 0.8× 63 0.3× 237 1.7× 116 1.2× 75 1.3× 11 812
Chana Fuchs United States 8 301 0.9× 173 0.9× 98 0.7× 39 0.4× 19 0.3× 11 487
Joohyun Park Germany 11 240 0.7× 161 0.8× 98 0.7× 12 0.1× 28 0.5× 28 435
Agnès Belly France 5 596 1.8× 120 0.6× 62 0.5× 13 0.1× 80 1.3× 5 731
Junko Aoki Japan 12 487 1.4× 243 1.2× 222 1.6× 47 0.5× 71 1.2× 18 741

Countries citing papers authored by Alejandro Garcia-Diaz

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Garcia-Diaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Garcia-Diaz. 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 Alejandro Garcia-Diaz. The network helps show where Alejandro Garcia-Diaz may publish in the future.

Co-authorship network of co-authors of Alejandro Garcia-Diaz

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

All Works

8 of 8 papers shown
1.
Garcia-Diaz, Alejandro, Gizem Efe, Achchhe Patel, et al.. (2020). Standardized Reporter Systems for Purification and Imaging of Human Pluripotent Stem Cell-derived Motor Neurons and Other Cholinergic Cells. Neuroscience. 450. 48–56. 11 indexed citations
2.
Bos, Pieter H., Emily R. Lowry, Sebastian Thams, et al.. (2019). Development of MAP4 Kinase Inhibitors as Motor Neuron-Protecting Agents. Cell chemical biology. 26(12). 1703–1715.e37. 34 indexed citations
3.
Lamas, Nuno Jorge, Bethany Johnson-Kerner, Laurent Roybon, et al.. (2014). Neurotrophic Requirements of Human Motor Neurons Defined Using Amplified and Purified Stem Cell-Derived Cultures. PLoS ONE. 9(10). e110324–e110324. 38 indexed citations
4.
Roybon, Laurent, Nuno Jorge Lamas, Alejandro Garcia-Diaz, et al.. (2013). Human Stem Cell-Derived Spinal Cord Astrocytes with Defined Mature or Reactive Phenotypes. Cell Reports. 4(5). 1035–1048. 158 indexed citations
5.
Giraudo, Claudio G., Alejandro Garcia-Diaz, William Eng, et al.. (2009). Alternative Zippering as an On-Off Switch for SNARE-Mediated Fusion. Science. 323(5913). 512–516. 127 indexed citations
6.
Paumet, Fabienne, Jordan Wesolowski, Alejandro Garcia-Diaz, et al.. (2009). Intracellular Bacteria Encode Inhibitory SNARE-Like Proteins. PLoS ONE. 4(10). e7375–e7375. 74 indexed citations
7.
Giraudo, Claudio G., Alejandro Garcia-Diaz, William Eng, et al.. (2008). Distinct Domains of Complexins Bind SNARE Complexes and Clamp Fusion in Vitro. Journal of Biological Chemistry. 283(30). 21211–21219. 45 indexed citations
8.
Antinozzi, Peter A., Alejandro Garcia-Diaz, Chuan Hu, & James E. Rothman. (2006). Functional mapping of disease susceptibility loci using cell biology. Proceedings of the National Academy of Sciences. 103(10). 3698–3703. 8 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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