Javier Valdés-Alemán

1.6k total citations · 2 hit papers
8 papers, 712 citations indexed

About

Javier Valdés-Alemán is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Javier Valdés-Alemán has authored 8 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Javier Valdés-Alemán's work include Neurobiology and Insect Physiology Research (7 papers), Animal Behavior and Reproduction (3 papers) and Insect and Arachnid Ecology and Behavior (3 papers). Javier Valdés-Alemán is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), Animal Behavior and Reproduction (3 papers) and Insect and Arachnid Ecology and Behavior (3 papers). Javier Valdés-Alemán collaborates with scholars based in United States, United Kingdom and Puerto Rico. Javier Valdés-Alemán's co-authors include Albert Cardona, Richard D. Fetter, Marta Zlatic, James W. Truman, Tomoko Ohyama, Casey M Schneider-Mizell, J. Simpson, Brett D. Mensh, Kristin Branson and Romain Franconville and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

Javier Valdés-Alemán

8 papers receiving 707 citations

Hit Papers

A multilevel multimodal c... 2015 2026 2018 2022 2015 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Valdés-Alemán United States 7 519 201 150 128 127 8 712
Ingrid Andrade United States 6 417 0.8× 165 0.8× 130 0.9× 104 0.8× 102 0.8× 7 594
Katharina Eichler United States 10 495 1.0× 227 1.1× 114 0.8× 133 1.0× 67 0.5× 14 627
Akira Fushiki United States 11 511 1.0× 247 1.2× 135 0.9× 130 1.0× 90 0.7× 12 702
Claire Eschbach Germany 10 513 1.0× 246 1.2× 101 0.7× 159 1.2× 72 0.6× 11 640
Marta Rivera-Alba United States 5 485 0.9× 247 1.2× 182 1.2× 210 1.6× 113 0.9× 5 847
Jimena Berni United Kingdom 13 521 1.0× 178 0.9× 86 0.6× 100 0.8× 128 1.0× 21 730
Michael Kunst United States 14 527 1.0× 115 0.6× 190 1.3× 85 0.7× 155 1.2× 19 767
Tilman Triphan Germany 9 475 0.9× 237 1.2× 75 0.5× 180 1.4× 113 0.9× 14 620
Yichun Shuai United States 10 400 0.8× 135 0.7× 127 0.8× 76 0.6× 137 1.1× 17 523
Divya Sitaraman United States 12 620 1.2× 289 1.4× 97 0.6× 177 1.4× 72 0.6× 22 720

Countries citing papers authored by Javier Valdés-Alemán

Since Specialization
Citations

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

Fields of papers citing papers by Javier Valdés-Alemán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Valdés-Alemán

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Valdés-Alemán. A scholar is included among the top collaborators of Javier Valdés-Alemán 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 Valdés-Alemán. Javier Valdés-Alemán 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.
Winding, Michael, Benjamin D. Pedigo, Christopher L. Barnes, et al.. (2023). The connectome of an insect brain. Science. 379(6636). eadd9330–eadd9330. 155 indexed citations breakdown →
2.
Jain, Saumya, Ying Lin, Yerbol Z. Kurmangaliyev, et al.. (2022). A global timing mechanism regulates cell-type-specific wiring programmes. Nature. 603(7899). 112–118. 20 indexed citations
3.
Valdés-Alemán, Javier, Richard D. Fetter, Lalanti Venkatasubramanian, et al.. (2020). Comparative Connectomics Reveals How Partner Identity, Location, and Activity Specify Synaptic Connectivity in Drosophila. Neuron. 109(1). 105–122.e7. 25 indexed citations
4.
Eschbach, Claire, Akira Fushiki, Michael Winding, et al.. (2020). Circuits for integrating learned and innate valences in the insect brain.. Apollo (University of Cambridge). 31 indexed citations
5.
Eschbach, Claire, Akira Fushiki, Michael Winding, et al.. (2020). Recurrent architecture for adaptive regulation of learning in the insect brain. Nature Neuroscience. 23(4). 544–555. 89 indexed citations
6.
Kurmangaliyev, Yerbol Z., Juyoun Yoo, Javier Valdés-Alemán, Piero Sanfilippo, & S Lawrence Zipursky. (2020). Transcriptional Programs of Circuit Assembly in the Drosophila Visual System. Neuron. 108(6). 1045–1057.e6. 82 indexed citations
7.
Ohyama, Tomoko, Casey M Schneider-Mizell, Richard D. Fetter, et al.. (2015). A multilevel multimodal circuit enhances action selection in Drosophila. Nature. 520(7549). 633–639. 304 indexed citations breakdown →
8.
Valdés-Alemán, Javier, et al.. (2013). Hybridization-based antibody cDNA recovery for the production of recombinant antibodies identified by repertoire sequencing. mAbs. 6(2). 493–501. 6 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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