Dániel Hillier

1.9k total citations
20 papers, 1.1k citations indexed

About

Dániel Hillier is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Dániel Hillier has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 7 papers in Cognitive Neuroscience. Recurrent topics in Dániel Hillier's work include Neural dynamics and brain function (7 papers), Photoreceptor and optogenetics research (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Dániel Hillier is often cited by papers focused on Neural dynamics and brain function (7 papers), Photoreceptor and optogenetics research (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Dániel Hillier collaborates with scholars based in Hungary, Switzerland and United States. Dániel Hillier's co-authors include Botond Roska, Balázs Rózsa, Gergely Szalay, Gergely Katona, Karl‐Klaus Conzelmann, Kamill Bálint, Zoltán Raics, Pál Maák, Attila Kaszás and Máté Veress and has published in prestigious journals such as Science, Neuron and Nature Neuroscience.

In The Last Decade

Dániel Hillier

18 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dániel Hillier Hungary 11 623 422 398 200 135 20 1.1k
Getahun Tsegaye United States 4 942 1.5× 536 1.3× 462 1.2× 352 1.8× 116 0.9× 4 1.5k
Ian Antón Oldenburg United States 12 986 1.6× 321 0.8× 535 1.3× 140 0.7× 162 1.2× 19 1.4k
Arthur Tsang United States 6 445 0.7× 298 0.7× 242 0.6× 173 0.9× 74 0.5× 6 905
Brad K. Hulse United States 10 779 1.3× 275 0.7× 691 1.7× 168 0.8× 64 0.5× 12 1.4k
Damian J. Wallace Germany 15 688 1.1× 356 0.8× 573 1.4× 276 1.4× 135 1.0× 30 1.2k
Jessica C. Nelson United States 21 730 1.2× 519 1.2× 598 1.5× 89 0.4× 35 0.3× 29 1.5k
Graham T. Holt United States 9 672 1.1× 518 1.2× 267 0.7× 209 1.0× 57 0.4× 15 1.1k
Jin Zhong Li United States 10 976 1.6× 272 0.6× 630 1.6× 312 1.6× 123 0.9× 10 1.4k
Jeffrey N. Stirman United States 15 499 0.8× 210 0.5× 211 0.5× 268 1.3× 254 1.9× 20 1.1k
Simon Chamberland Canada 17 785 1.3× 333 0.8× 512 1.3× 114 0.6× 43 0.3× 25 1.0k

Countries citing papers authored by Dániel Hillier

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Hillier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dániel Hillier

This figure shows the co-authorship network connecting the top 25 collaborators of Dániel Hillier. A scholar is included among the top collaborators of Dániel Hillier 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 Dániel Hillier. Dániel Hillier 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.
Szabó, Véronique M., Zoltán Zsolt Nagy, Wim Vanduffel, et al.. (2025). Overcoming matrix effects in AAV neutralization assays with a constant serum concentration approach. Gene Therapy. 33(1). 37–47.
2.
Nagy, Zoltán Zsolt, István Hernádi, Ferenc Mátyás, et al.. (2025). CoreTIA: a modular, statistically robust transduction inhibition assay for AAV neutralization. Frontiers in Immunology. 16. 1623848–1623848. 1 indexed citations
3.
Bharioke, Arjun, Martin Munz, Alexandra Brignall, et al.. (2022). General anesthesia globally synchronizes activity selectively in layer 5 cortical pyramidal neurons. Neuron. 110(12). 2024–2040.e10. 68 indexed citations
4.
Morikawa, Rei, Cameron S. Cowan, Zoltán Raics, et al.. (2020). Restoring light sensitivity using tunable near-infrared sensors. Science. 368(6495). 1108–1113. 89 indexed citations
5.
Barsy, Boglárka, Mónika Szabó, Judit M. Veres, et al.. (2020). Associative and plastic thalamic signaling to the lateral amygdala controls fear behavior. Nature Neuroscience. 23(5). 625–637. 50 indexed citations
6.
Drinnenberg, Antonia, Felix Franke, Rei Morikawa, et al.. (2018). How Diverse Retinal Functions Arise from Feedback at the First Visual Synapse. Neuron. 99(1). 117–134.e11. 37 indexed citations
7.
Schubert, Rajib, Stuart Trenholm, Kamill Bálint, et al.. (2017). Virus stamping for targeted single-cell infection in vitro and in vivo. Nature Biotechnology. 36(1). 81–88. 35 indexed citations
8.
Hillier, Dániel, Michele Fiscella, Antonia Drinnenberg, et al.. (2017). Causal evidence for retina-dependent and -independent visual motion computations in mouse cortex. Nature Neuroscience. 20(7). 960–968. 71 indexed citations
9.
Wertz, Adrian, Stuart Trenholm, Keisuke Yonehara, et al.. (2015). Single-cell–initiated monosynaptic tracing reveals layer-specific cortical network modules. Science. 349(6243). 70–74. 146 indexed citations
10.
Yonehara, Keisuke, Karl Farrow, Alexander Ghanem, et al.. (2013). The First Stage of Cardinal Direction Selectivity Is Localized to the Dendrites of Retinal Ganglion Cells. Neuron. 79(6). 1078–1085. 110 indexed citations
11.
Katona, Gergely, Gergely Szalay, Pál Maák, et al.. (2012). Fast two-photon in vivo imaging with three-dimensional random-access scanning in large tissue volumes. Nature Methods. 9(2). 201–208. 270 indexed citations
12.
Hillier, Dániel, et al.. (2009). Online 3-D Reconstruction of the Right Atrium From Echocardiography Data via a Topographic Cellular Contour Extraction Algorithm. IEEE Transactions on Biomedical Engineering. 57(2). 384–396. 2 indexed citations
13.
Hillier, Dániel & Piotr Dudek. (2008). Implementing the grayscale wave metric on a cellular array processor chip. Research Explorer (The University of Manchester). 120–124. 3 indexed citations
14.
Hillier, Dániel, et al.. (2007). PARTIAL SYNCHRONIZATION IN OSCILLATOR ARRAYS WITH ASYMMETRIC COUPLING. International Journal of Bifurcation and Chaos. 17(11). 4177–4185. 1 indexed citations
15.
Viney, Tim J., Kamill Bálint, Dániel Hillier, et al.. (2007). Local Retinal Circuits of Melanopsin-Containing Ganglion Cells Identified by Transsynaptic Viral Tracing. Current Biology. 17(11). 981–988. 159 indexed citations
16.
Hillier, Dániel, et al.. (2006). Topographic cellular active contour techniques: theory, implementations and comparisons: Research Articles. International Journal of Circuit Theory and Applications. 34(2). 183–216. 4 indexed citations
17.
Hillier, Dániel, et al.. (2006). Learning Partial Synchronization Regimes with Imposed Qualitative Behavior on an Array of Chua's Oscillators. 983–986.
18.
Hillier, Dániel, Samuel Xavier‐de‐Souza, Johan A. K. Suykens, & Joos Vandewalle. (2006). CNNOPT: Learning dynamics and CNN chip-specific robustness. 1–1. 1 indexed citations
19.
Hillier, Dániel, Samuel Xavier‐de‐Souza, Johan A. K. Suykens, & Joos Vandewalle. (2006). CNNOPT: Learning dynamics and CNN chip-specific robustness. 11. 1–6. 3 indexed citations
20.
Hillier, Dániel, et al.. (2006). Topographic cellular active contour techniques: theory, implementations and comparisons. International Journal of Circuit Theory and Applications. 34(2). 183–216. 10 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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