Daniel Millman

1.8k total citations
8 papers, 324 citations indexed

About

Daniel Millman is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems. According to data from OpenAlex, Daniel Millman has authored 8 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 2 papers in Sensory Systems. Recurrent topics in Daniel Millman's work include Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (2 papers) and Olfactory and Sensory Function Studies (2 papers). Daniel Millman is often cited by papers focused on Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (2 papers) and Olfactory and Sensory Function Studies (2 papers). Daniel Millman collaborates with scholars based in United States, Italy and Japan. Daniel Millman's co-authors include Alfredo Kirkwood, Ernst Niebur, Ştefan Mihalaş, Venkatesh N. Murthy, Bin Jiang, Tadaharu Tsumoto, Roberto De Pasquale, Hey‐Kyoung Lee, Lihua Song and Shiyong Huang and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Daniel Millman

8 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Millman United States	7	231	181	60	48	41	8	324
Rodrigo F. Oliveira Brazil	13	246 1.1×	223 1.2×	49 0.8×	21 0.4×	191 4.7×	31	538
Roxana A. Stefanescu United States	13	383 1.7×	162 0.9×	65 1.1×	140 2.9×	41 1.0×	14	502
Hindiael Belchior Brazil	10	507 2.2×	298 1.6×	74 1.2×	36 0.8×	32 0.8×	15	575
Marta Maschietto Italy	12	274 1.2×	272 1.5×	29 0.5×	23 0.5×	36 0.9×	39	502
Guy Doron Germany	11	366 1.6×	281 1.6×	39 0.7×	26 0.5×	35 0.9×	12	434
Michael Krumin United Kingdom	9	445 1.9×	316 1.7×	38 0.6×	43 0.9×	95 2.3×	10	545
Rodrigo F. Salazar Switzerland	10	532 2.3×	243 1.3×	36 0.6×	16 0.3×	55 1.3×	11	617
Elizabeth García‐Pérez Spain	11	233 1.0×	247 1.4×	64 1.1×	17 0.4×	129 3.1×	15	443
Yang Tsau United States	9	302 1.3×	330 1.8×	70 1.2×	43 0.9×	59 1.4×	11	440
Marco Loh Spain	6	417 1.8×	158 0.9×	24 0.4×	12 0.3×	60 1.5×	10	511

Countries citing papers authored by Daniel Millman

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Millman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Millman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Millman. A scholar is included among the top collaborators of Daniel Millman 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 Millman. Daniel Millman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Larkin, Josh, Kevin Takasaki, Daniel Millman, et al.. (2021). A large-scale standardized survey of neural receptive fields in an entire column in mouse V1. Journal of Vision. 21(9). 2901–2901. 1 indexed citations

Millman, Daniel & Venkatesh N. Murthy. (2020). Rapid Learning of Odor–Value Association in the Olfactory Striatum. Journal of Neuroscience. 40(22). 4335–4347. 42 indexed citations

Millman, Daniel, Gabriel Koch Ocker, Shiella Caldejon, et al.. (2020). VIP interneurons in mouse primary visual cortex selectively enhance responses to weak but specific stimuli. eLife. 9. 39 indexed citations

Liu, Rui, Leonard Kuan, Daniel Millman, et al.. (2019). Aberration-free multi-plane imaging of neural activity from the mammalian brain using a fast-switching liquid crystal spatial light modulator. Biomedical Optics Express. 10(10). 5059–5059. 13 indexed citations

Weed, Natalie, Trygve E. Bakken, Nile Graddis, et al.. (2019). Identification of genetic markers for cortical areas using a Random Forest classification routine and the Allen Mouse Brain Atlas. PLoS ONE. 14(9). e0212898–e0212898. 8 indexed citations

Madhavan, Radhika, Daniel Millman, Hanlin Tang, et al.. (2015). Decrease in gamma-band activity tracks sequence learning. Frontiers in Systems Neuroscience. 8. 222–222. 11 indexed citations

Millman, Daniel, Ştefan Mihalaş, Alfredo Kirkwood, & Ernst Niebur. (2010). Self-organized criticality occurs in non-conservative neuronal networks during ‘up’ states. Nature Physics. 6(10). 801–805. 118 indexed citations

Jiang, Bin, Shiyong Huang, Roberto De Pasquale, et al.. (2010). The Maturation of GABAergic Transmission in Visual Cortex Requires Endocannabinoid-Mediated LTD of Inhibitory Inputs during a Critical Period. Neuron. 66(2). 248–259. 92 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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