Davi D. Bock

7.3k total citations · 1 hit paper
39 papers, 2.2k citations indexed

About

Davi D. Bock is a scholar working on Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Davi D. Bock has authored 39 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 13 papers in Genetics and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Davi D. Bock's work include Neurobiology and Insect Physiology Research (24 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Neural dynamics and brain function (6 papers). Davi D. Bock is often cited by papers focused on Neurobiology and Insect Physiology Research (24 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Neural dynamics and brain function (6 papers). Davi D. Bock collaborates with scholars based in United States, United Kingdom and Germany. Davi D. Bock's co-authors include Kevin L. Briggman, R. Clay Reid, Wei-Chung Allen Lee, Mark L. Andermann, Sergey Yurgenson, Greg Hood, Edward Soucy, Hyun Sook Kim, Aaron Kerlin and Arthur W. Wetzel and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Davi D. Bock

37 papers receiving 2.2k citations

Hit Papers

Network anatomy and in vivo physiology of visual cortical... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davi D. Bock United States 21 1.4k 635 463 354 345 39 2.2k
Zhiyuan Lu Canada 22 1.2k 0.9× 215 0.3× 368 0.8× 342 1.0× 174 0.5× 63 2.1k
Marta Zlatic United States 26 1.9k 1.3× 399 0.6× 740 1.6× 466 1.3× 176 0.5× 38 2.5k
David Owald Germany 19 2.0k 1.4× 156 0.2× 707 1.5× 436 1.2× 153 0.4× 25 2.5k
Wei-Chung Allen Lee United States 21 1.6k 1.1× 1.1k 1.7× 242 0.5× 101 0.3× 624 1.8× 48 3.3k
Casey M Schneider-Mizell United States 13 1.1k 0.8× 230 0.4× 486 1.0× 291 0.8× 91 0.3× 18 1.4k
Brett D. Mensh United States 30 1.9k 1.3× 1.7k 2.6× 343 0.7× 208 0.6× 142 0.4× 56 3.6k
Johannes D. Seelig Germany 9 1.1k 0.8× 471 0.7× 436 0.9× 415 1.2× 239 0.7× 21 1.7k
Jennifer Li United States 21 853 0.6× 893 1.4× 134 0.3× 99 0.3× 533 1.5× 33 2.7k
Tomoko Ohyama United States 23 1.2k 0.9× 281 0.4× 497 1.1× 193 0.5× 112 0.3× 40 2.5k

Countries citing papers authored by Davi D. Bock

Since Specialization
Citations

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

Fields of papers citing papers by Davi D. Bock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Davi D. Bock. 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 Davi D. Bock. The network helps show where Davi D. Bock may publish in the future.

Co-authorship network of co-authors of Davi D. Bock

This figure shows the co-authorship network connecting the top 25 collaborators of Davi D. Bock. A scholar is included among the top collaborators of Davi D. Bock 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 Davi D. Bock. Davi D. Bock 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.
Cruz, Tomás, Kathrin Steck, Aljoscha Nern, et al.. (2025). A competitive disinhibitory network for robust optic flow processing in Drosophila. Nature Neuroscience. 28(6). 1241–1255. 2 indexed citations
2.
Zhao, Arthur, Eyal Gruntman, Aljoscha Nern, et al.. (2025). Eye structure shapes neuron function in Drosophila motion vision. Nature. 646(8083). 135–142. 1 indexed citations
3.
Bock, Davi D.. (2025). Synaptic connectomics: status and prospects. Nature reviews. Neuroscience. 26(10). 581–582.
4.
Siwanowicz, Igor, Christina Christoforou, Karen L Hibbard, et al.. (2024). Motor neurons generate pose-targeted movements via proprioceptive sculpting. Nature. 628(8008). 596–603. 9 indexed citations
5.
Engert, Stefanie, Gabriella R Sterne, Davi D. Bock, & Kristin Scott. (2022). Drosophila gustatory projections are segregated by taste modality and connectivity. eLife. 11. 12 indexed citations
6.
Buhmann, Julia, Arlo Sheridan, Philipp Schlegel, et al.. (2021). Automatic detection of synaptic partners in a whole-brain Drosophila electron microscopy data set. Nature Methods. 18(7). 771–774. 75 indexed citations
7.
Longden, Kit D., Aljoscha Nern, Arthur Zhao, et al.. (2021). Synaptic targets of photoreceptors specialized to detect color and skylight polarization in Drosophila. eLife. 10. 32 indexed citations
8.
Lauritzen, J. Scott, et al.. (2021). Circuit reorganization in the Drosophila mushroom body calyx accompanies memory consolidation. Cell Reports. 34(11). 108871–108871. 31 indexed citations
9.
Turner‐Evans, Daniel B., Kristopher T. Jensen, Saba Rasheed Ali, et al.. (2021). The neuroanatomical ultrastructure and function of a biological ring attractor. Neuron. 109(9). 1582–1582. 3 indexed citations
10.
Marin, Elizabeth C., M. Theiß, Ruairí J.V. Roberts, et al.. (2020). Connectomics Analysis Reveals First-, Second-, and Third-Order Thermosensory and Hygrosensory Neurons in the Adult Drosophila Brain. Current Biology. 30(16). 3167–3182.e4. 61 indexed citations
11.
Bates, Alexander Shakeel, Philipp Schlegel, Ruairí J.V. Roberts, et al.. (2020). Complete Connectomic Reconstruction of Olfactory Projection Neurons in the Fly Brain. Current Biology. 30(16). 3183–3199.e6. 106 indexed citations
13.
Morimoto, Mai M, Aljoscha Nern, Arthur Zhao, et al.. (2020). Spatial readout of visual looming in the central brain of Drosophila. eLife. 9. 25 indexed citations
14.
Turner‐Evans, Daniel B., Kristopher T. Jensen, Tyler Paterson, et al.. (2020). The Neuroanatomical Ultrastructure and Function of a Biological Ring Attractor. Neuron. 108(1). 145–163.e10. 69 indexed citations
15.
Zhang, Xiaonan, Andrew M. Dacks, Cengiz Günay, et al.. (2019). Local synaptic inputs support opposing, network-specific odor representations in a widely projecting modulatory neuron. eLife. 8. 9 indexed citations
16.
Ache, Jan M., Ruchi Parekh, Patrick Breads, et al.. (2019). Neural Basis for Looming Size and Velocity Encoding in the Drosophila Giant Fiber Escape Pathway. Current Biology. 29(6). 1073–1081.e4. 82 indexed citations
17.
Felsenberg, Johannes, Pedro F. Jacob, Thomas Walker, et al.. (2018). Integration of Parallel Opposing Memories Underlies Memory Extinction. Cell. 175(3). 709–722.e15. 131 indexed citations
18.
Akselrod-Ballin, Ayelet, Davi D. Bock, R. Clay Reid, & Simon K. Warfield. (2011). Accelerating Image Registration With the Johnson–Lindenstrauss Lemma: Application to Imaging 3-D Neural Ultrastructure With Electron Microscopy. IEEE Transactions on Medical Imaging. 30(7). 1427–1438. 9 indexed citations
19.
Bock, Davi D., Wei-Chung Allen Lee, Aaron Kerlin, et al.. (2011). Network anatomy and in vivo physiology of visual cortical neurons. Nature. 471(7337). 177–182. 587 indexed citations breakdown →
20.
Akselrod-Ballin, Ayelet, Davi D. Bock, R. Clay Reid, & Simon K. Warfield. (2009). Accelerating Feature Based Registration Using the Johnson-Lindenstrauss Lemma. Lecture notes in computer science. 12(Pt 1). 632–639. 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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