Daniel R. Berger

6.9k total citations · 3 hit papers
41 papers, 2.8k citations indexed

About

Daniel R. Berger is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Daniel R. Berger has authored 41 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 11 papers in Cognitive Neuroscience and 7 papers in Biophysics. Recurrent topics in Daniel R. Berger's work include Visual perception and processing mechanisms (8 papers), Tactile and Sensory Interactions (6 papers) and Cell Image Analysis Techniques (5 papers). Daniel R. Berger is often cited by papers focused on Visual perception and processing mechanisms (8 papers), Tactile and Sensory Interactions (6 papers) and Cell Image Analysis Techniques (5 papers). Daniel R. Berger collaborates with scholars based in United States, Germany and Canada. Daniel R. Berger's co-authors include Jeff W. Lichtman, Paola Arlotta, H. Sebastian Seung, Kenneth J. Hayworth, Richard Schalek, Josh Morgan, Narayanan Kasthuri, HH Bülthoff, Steven A. McCarroll and Sung Min Yang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel R. Berger

39 papers receiving 2.7k citations

Hit Papers

Cell diversity and network dynamics in photosensitive hum... 2014 2026 2018 2022 2017 2014 2021 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 R. Berger United States 19 1.1k 803 570 507 375 41 2.8k
Christel Genoud Switzerland 30 1.7k 1.5× 1.0k 1.3× 512 0.9× 256 0.5× 290 0.8× 57 3.3k
Wei-Chung Allen Lee United States 21 753 0.7× 1.6k 2.0× 1.1k 1.9× 213 0.4× 624 1.7× 48 3.3k
Narayanan Kasthuri United States 23 819 0.8× 1.5k 1.8× 907 1.6× 447 0.9× 553 1.5× 57 3.2k
Ju Lu United States 23 1.1k 1.0× 1.1k 1.4× 627 1.1× 253 0.5× 782 2.1× 62 3.2k
Zhuhao Wu United States 24 1.6k 1.5× 1.4k 1.7× 280 0.5× 413 0.8× 718 1.9× 44 3.8k
Eran A. Mukamel United States 26 2.0k 1.8× 1.2k 1.5× 1.4k 2.5× 359 0.7× 588 1.6× 44 4.7k
Philippe Rostaing France 25 2.3k 2.1× 1.7k 2.1× 355 0.6× 301 0.6× 305 0.8× 30 4.6k
Kenneth J. Hayworth United States 15 669 0.6× 559 0.7× 379 0.7× 256 0.5× 312 0.8× 30 2.0k
Jean Livet France 25 2.1k 1.9× 1.6k 2.0× 310 0.5× 681 1.3× 753 2.0× 43 4.1k
Guisheng Zhong China 25 1.4k 1.3× 810 1.0× 282 0.5× 244 0.5× 734 2.0× 52 3.4k

Countries citing papers authored by Daniel R. Berger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel R. Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Berger. A scholar is included among the top collaborators of Daniel R. Berger 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 R. Berger. Daniel R. Berger 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.
Tian, Qiyuan, Chanon Ngamsombat, Hong‐Hsi Lee, et al.. (2025). Quantifying axonal features of human superficial white matter from three-dimensional multibeam serial electron microscopy data assisted by deep learning. NeuroImage. 313. 121212–121212. 1 indexed citations
2.
Czeisler, Mark É., Yongli Shan, Richard Schalek, et al.. (2024). Extensive soma‐soma plate‐like contact sites (ephapses) connect suprachiasmatic nucleus neurons. The Journal of Comparative Neurology. 532(6). e25624–e25624.
3.
Meirovitch, Yaron, Richard Schalek, Adi Peleg, et al.. (2023). Connectomics of the Octopus vulgaris vertical lobe provides insight into conserved and novel principles of a memory acquisition network. eLife. 12. 12 indexed citations
4.
Dorkenwald, Sven, Peter H. Li, Michał Januszewski, et al.. (2023). Multi-layered maps of neuropil with segmentation-guided contrastive learning. Nature Methods. 20(12). 2011–2020. 8 indexed citations
5.
Mulcahy, Ben, Daniel Witvliet, James K. Mitchell, et al.. (2022). Post-embryonic remodeling of the C. elegans motor circuit. Current Biology. 32(21). 4645–4659.e3. 13 indexed citations
6.
Witvliet, Daniel, Ben Mulcahy, James K. Mitchell, et al.. (2021). Connectomes across development reveal principles of brain maturation. Nature. 596(7871). 257–261. 200 indexed citations breakdown →
7.
Ofer, Netanel, Daniel R. Berger, Narayanan Kasthuri, Jeff W. Lichtman, & Rafael Yuste. (2021). Ultrastructural analysis of dendritic spine necks reveals a continuum of spine morphologies. Developmental Neurobiology. 81(5). 746–757. 36 indexed citations
8.
Lin, Zudi, Donglai Wei, Won-Dong Jang, et al.. (2020). Two Stream Active Query Suggestion for Active Learning in Connectomics. Lecture notes in computer science. 12363. 103–120. 10 indexed citations
10.
Zonouzi, Marzieh, Daniel R. Berger, Vahbiz Jokhi, et al.. (2019). Individual Oligodendrocytes Show Bias for Inhibitory Axons in the Neocortex. Cell Reports. 27(10). 2799–2808.e3. 68 indexed citations
11.
Nettersheim, Daniel, Daniel R. Berger, Sina Jostes, Margaretha A. Skowron, & Hubert Schorle. (2018). Deciphering the molecular effects of romidepsin on germ cell tumours: DHRS2 is involved in cell cycle arrest but not apoptosis or induction of romidepsin effectors. Journal of Cellular and Molecular Medicine. 23(1). 670–679. 17 indexed citations
12.
Berger, Daniel R., H. Sebastian Seung, & Jeff W. Lichtman. (2018). VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks. Frontiers in Neural Circuits. 12. 88–88. 106 indexed citations
13.
Fang, Tao, Daniel R. Berger, Julia Cho, et al.. (2018). Nanobody immunostaining for correlated light and electron microscopy with preservation of ultrastructure. Nature Methods. 15(12). 1029–1032. 76 indexed citations
14.
Quadrato, Giorgia, Tuan Nguyen, Evan Z. Macosko, et al.. (2017). Cell diversity and network dynamics in photosensitive human brain organoids. Nature. 545(7652). 48–53. 870 indexed citations breakdown →
15.
Morgan, Josh, Daniel R. Berger, Arthur W. Wetzel, & Jeff W. Lichtman. (2016). The Fuzzy Logic of Network Connectivity in Mouse Visual Thalamus. Cell. 165(1). 192–206. 155 indexed citations
16.
Tomassy, Giulio Srubek, Daniel R. Berger, Hsu-Hsin Chen, et al.. (2014). Distinct Profiles of Myelin Distribution Along Single Axons of Pyramidal Neurons in the Neocortex. Science. 344(6181). 319–324. 398 indexed citations breakdown →
17.
Hayworth, Kenneth J., Josh Morgan, Richard Schalek, et al.. (2014). Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits. Frontiers in Neural Circuits. 8. 68–68. 173 indexed citations
18.
Tapia, Juan Carlos, Narayanan Kasthuri, Kenneth J. Hayworth, et al.. (2012). Pervasive Synaptic Branch Removal in the Mammalian Neuromuscular System at Birth. Neuron. 74(5). 816–829. 89 indexed citations
19.
Berger, Daniel R. & HH Bülthoff. (2009). The role of attention on the integration of visual and inertial cues. Experimental Brain Research. 198(2-3). 287–300. 17 indexed citations
20.
MacNeilage, Paul R., Martin S. Banks, Daniel R. Berger, & HH Bülthoff. (2006). A Bayesian model of the disambiguation of gravitoinertial force by visual cues. Experimental Brain Research. 179(2). 263–290. 171 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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