Daniel A. Dombeck

8.9k total citations · 5 hit papers
43 papers, 5.6k citations indexed

About

Daniel A. Dombeck is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Daniel A. Dombeck has authored 43 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 21 papers in Cognitive Neuroscience and 12 papers in Biophysics. Recurrent topics in Daniel A. Dombeck's work include Neuroscience and Neuropharmacology Research (16 papers), Memory and Neural Mechanisms (14 papers) and Advanced Fluorescence Microscopy Techniques (11 papers). Daniel A. Dombeck is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Memory and Neural Mechanisms (14 papers) and Advanced Fluorescence Microscopy Techniques (11 papers). Daniel A. Dombeck collaborates with scholars based in United States, Italy and Canada. Daniel A. Dombeck's co-authors include David W. Tank, Forrest Collman, Christopher D. Harvey, Mark W. Howe, Watt W. Webb, Lin Tian, Mark Sheffield, Loren L. Looger, Karl A. Kasischke and James G. Heys and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel A. Dombeck

42 papers receiving 5.5k citations

Hit Papers

Imaging Large-Scale Neural Activity with Cellular Resolut... 2007 2026 2013 2019 2007 2018 2009 2010 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Dombeck United States 28 3.6k 2.8k 1.3k 1.0k 549 43 5.6k
Tsai‐Wen Chen United States 18 4.3k 1.2× 2.6k 0.9× 2.3k 1.7× 1.1k 1.1× 403 0.7× 23 7.1k
Mark Hübener Germany 41 4.4k 1.2× 4.0k 1.4× 1.9k 1.5× 670 0.6× 664 1.2× 72 6.9k
Lin Tian United States 39 5.2k 1.5× 2.5k 0.9× 3.4k 2.6× 1.1k 1.1× 519 0.9× 98 8.5k
Daniel Huber Switzerland 29 4.7k 1.3× 4.6k 1.6× 1.2k 0.9× 584 0.6× 343 0.6× 51 7.7k
Joshua T. Trachtenberg United States 32 4.4k 1.2× 3.0k 1.1× 2.3k 1.8× 510 0.5× 826 1.5× 45 7.1k
Peyman Golshani United States 38 3.2k 0.9× 3.2k 1.2× 1.6k 1.2× 467 0.5× 854 1.6× 74 6.2k
Sabine L. Renninger Portugal 9 3.3k 0.9× 1.7k 0.6× 1.9k 1.5× 816 0.8× 290 0.5× 12 5.4k
Jason N. D. Kerr Germany 23 2.6k 0.7× 2.1k 0.8× 941 0.7× 858 0.8× 387 0.7× 38 4.0k
Thomas J. Davidson United States 28 5.6k 1.6× 4.6k 1.7× 2.4k 1.8× 861 0.8× 445 0.8× 49 9.6k
Leopoldo Petreanu United States 18 4.2k 1.2× 2.7k 1.0× 1.8k 1.4× 405 0.4× 718 1.3× 22 6.7k

Countries citing papers authored by Daniel A. Dombeck

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Dombeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Dombeck

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Dombeck. A scholar is included among the top collaborators of Daniel A. Dombeck 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 Daniel A. Dombeck. Daniel A. Dombeck 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.
Climer, Jason R., et al.. (2025). Hippocampal representations drift in stable multisensory environments. Nature. 645(8080). 457–465.
2.
3.
4.
Dombeck, Daniel A., et al.. (2024). A robot-rodent interaction arena with adjustable spatial complexity for ethologically relevant behavioral studies. Cell Reports. 43(2). 113671–113671. 8 indexed citations
5.
Gaertner, Zachary, Maite Azcorra, Daniel A. Dombeck, & Rajeshwar Awatramani. (2022). Molecular heterogeneity in the substantia nigra: A roadmap for understanding PD motor pathophysiology. Neurobiology of Disease. 175. 105925–105925. 15 indexed citations
6.
Climer, Jason R. & Daniel A. Dombeck. (2021). Information Theoretic Approaches to Deciphering the Neural Code with Functional Fluorescence Imaging. eNeuro. 8(5). ENEURO.0266–21.2021. 14 indexed citations
7.
Climer, Jason R., et al.. (2021). Behavior determines the hippocampal spatial mapping of a multisensory environment. Cell Reports. 36(5). 109444–109444. 31 indexed citations
8.
Heys, James G., et al.. (2020). Inactivation of the Medial Entorhinal Cortex Selectively Disrupts Learning of Interval Timing. Cell Reports. 32(12). 108163–108163. 24 indexed citations
9.
Patriarchi, Tommaso, Jounhong Ryan Cho, Katharina Merten, et al.. (2018). Ultrafast neuronal imaging of dopamine dynamics with designed genetically encoded sensors. Science. 360(6396). 669 indexed citations breakdown →
10.
Poulin, Jean‐François, Giuliana Caronia, Qiaoling Cui, et al.. (2018). Mapping projections of molecularly defined dopamine neuron subtypes using intersectional genetic approaches. Nature Neuroscience. 21(9). 1260–1271. 255 indexed citations
11.
Sheffield, Mark & Daniel A. Dombeck. (2018). Dendritic mechanisms of hippocampal place field formation. Current Opinion in Neurobiology. 54. 1–11. 34 indexed citations
12.
Heys, James G. & Daniel A. Dombeck. (2018). Evidence for a subcircuit in medial entorhinal cortex representing elapsed time during immobility. Nature Neuroscience. 21(11). 1574–1582. 76 indexed citations
13.
Sheffield, Mark, et al.. (2017). Increased Prevalence of Calcium Transients across the Dendritic Arbor during Place Field Formation. Neuron. 96(2). 490–504.e5. 116 indexed citations
14.
Heys, James G., et al.. (2014). The Functional Micro-organization of Grid Cells Revealed by Cellular-Resolution Imaging. Neuron. 84(5). 1079–1090. 98 indexed citations
15.
Dombeck, Daniel A., Christopher D. Harvey, Lin Tian, Loren L. Looger, & David W. Tank. (2010). Functional imaging of hippocampal place cells at cellular resolution during virtual navigation. Nature Neuroscience. 13(11). 1433–1440. 567 indexed citations breakdown →
16.
Dombeck, Daniel A., Michael S. A. Graziano, & David W. Tank. (2009). Functional Clustering of Neurons in Motor Cortex Determined by Cellular Resolution Imaging in Awake Behaving Mice. Journal of Neuroscience. 29(44). 13751–13760. 148 indexed citations
17.
Díaz‐Ríos, Manuel, Daniel A. Dombeck, Watt W. Webb, & Ronald M. Harris‐Warrick. (2007). Serotonin Modulates Dendritic Calcium Influx in Commissural Interneurons in the Mouse Spinal Locomotor Network. Journal of Neurophysiology. 98(4). 2157–2167. 32 indexed citations
18.
Dombeck, Daniel A., et al.. (2007). Imaging Large-Scale Neural Activity with Cellular Resolution in Awake, Mobile Mice. Neuron. 56(1). 43–57. 773 indexed citations breakdown →
19.
Dombeck, Daniel A., Mireille Blanchard‐Desce, & Watt W. Webb. (2004). Optical Recording of Action Potentials with Second-Harmonic Generation Microscopy. Journal of Neuroscience. 24(4). 999–1003. 128 indexed citations
20.
Dombeck, Daniel A., et al.. (2003). Multi-photon microscopy of deep tissue with gradient index lenses. Conference on Lasers and Electro-Optics. 88. 742–744. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026