Diego A. Pacheco

931 total citations
8 papers, 406 citations indexed

About

Diego A. Pacheco is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Diego A. Pacheco has authored 8 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Genetics. Recurrent topics in Diego A. Pacheco's work include Animal Behavior and Reproduction (6 papers), Neurobiology and Insect Physiology Research (6 papers) and Insect and Arachnid Ecology and Behavior (4 papers). Diego A. Pacheco is often cited by papers focused on Animal Behavior and Reproduction (6 papers), Neurobiology and Insect Physiology Research (6 papers) and Insect and Arachnid Ecology and Behavior (4 papers). Diego A. Pacheco collaborates with scholars based in United States, Switzerland and Italy. Diego A. Pacheco's co-authors include Mala Murthy, Jan Clemens, Philip Coen, Timothy D. Tayler, Anne C. Hergarden, David J. Anderson, Yi Deng, Laura Lynch, Samuel S.‐H. Wang and Ian B. Hogue and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Diego A. Pacheco

8 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego A. Pacheco United States 7 290 162 143 70 53 8 406
Claire McKellar United States 10 260 0.9× 99 0.6× 119 0.8× 92 1.3× 52 1.0× 11 383
Benjamin R. Kallman United States 5 357 1.2× 92 0.6× 99 0.7× 56 0.8× 78 1.5× 5 433
Stefanie Hampel United States 7 375 1.3× 164 1.0× 180 1.3× 141 2.0× 43 0.8× 9 547
Sebastian Cachero United Kingdom 8 310 1.1× 138 0.9× 151 1.1× 98 1.4× 17 0.3× 12 380
Ruairí J.V. Roberts United Kingdom 5 236 0.8× 96 0.6× 116 0.8× 57 0.8× 32 0.6× 6 312
Kyle J. McCulloch United States 10 204 0.7× 176 1.1× 131 0.9× 203 2.9× 41 0.8× 19 469
Joshua L. Lillvis United States 11 252 0.9× 199 1.2× 115 0.8× 38 0.5× 91 1.7× 15 414
Oliver Barnstedt United Kingdom 7 461 1.6× 123 0.8× 178 1.2× 77 1.1× 119 2.2× 10 577
Alexander Shakeel Bates United States 10 534 1.8× 170 1.0× 262 1.8× 67 1.0× 80 1.5× 14 621
Mehrab N Modi United States 5 376 1.3× 100 0.6× 151 1.1× 53 0.8× 111 2.1× 6 441

Countries citing papers authored by Diego A. Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by Diego A. Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego A. Pacheco. 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 Diego A. Pacheco. The network helps show where Diego A. Pacheco may publish in the future.

Co-authorship network of co-authors of Diego A. Pacheco

This figure shows the co-authorship network connecting the top 25 collaborators of Diego A. Pacheco. A scholar is included among the top collaborators of Diego A. Pacheco 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 Diego A. Pacheco. Diego A. Pacheco 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.
Lin, Albert, Osama M. Ahmed, Diego A. Pacheco, et al.. (2024). BIFROST: A method for registering diverse imaging datasets of the Drosophila brain. Proceedings of the National Academy of Sciences. 121(47). e2322687121–e2322687121. 2 indexed citations
2.
Pacheco, Diego A., et al.. (2023). Flexible circuit mechanisms for context-dependent song sequencing. Nature. 622(7984). 794–801. 16 indexed citations
3.
Baker, Christa A., Claire McKellar, Rich Pang, et al.. (2022). Neural network organization for courtship-song feature detection in Drosophila. Current Biology. 32(15). 3317–3333.e7. 14 indexed citations
4.
Pacheco, Diego A., Stephan Y. Thiberge, Eftychios A. Pnevmatikakis, & Mala Murthy. (2020). Auditory activity is diverse and widespread throughout the central brain of Drosophila. Nature Neuroscience. 24(1). 93–104. 29 indexed citations
5.
Clemens, Jan, Philip Coen, Talmo Pereira, et al.. (2018). Discovery of a New Song Mode in Drosophila Reveals Hidden Structure in the Sensory and Neural Drivers of Behavior. Current Biology. 28(15). 2400–2412.e6. 45 indexed citations
6.
Coen, Philip, et al.. (2014). Dynamic sensory cues shape song structure in Drosophila. Nature. 507(7491). 233–237. 95 indexed citations
7.
Sun, Xiaonan Richard, Aleksandra Badura, Diego A. Pacheco, et al.. (2013). Fast GCaMPs for improved tracking of neuronal activity. Nature Communications. 4(1). 2170–2170. 106 indexed citations
8.
Tayler, Timothy D., Diego A. Pacheco, Anne C. Hergarden, Mala Murthy, & David J. Anderson. (2012). A neuropeptide circuit that coordinates sperm transfer and copulation duration in Drosophila. Proceedings of the National Academy of Sciences. 109(50). 20697–20702. 99 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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2026