Cem Uran

944 total citations
11 papers, 392 citations indexed

About

Cem Uran is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Cem Uran has authored 11 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 1 paper in Computer Networks and Communications. Recurrent topics in Cem Uran's work include Neural dynamics and brain function (10 papers), Photoreceptor and optogenetics research (4 papers) and Visual perception and processing mechanisms (2 papers). Cem Uran is often cited by papers focused on Neural dynamics and brain function (10 papers), Photoreceptor and optogenetics research (4 papers) and Visual perception and processing mechanisms (2 papers). Cem Uran collaborates with scholars based in Germany, Netherlands and Chile. Cem Uran's co-authors include Martin Vinck, Marius Schneider, Ana Clara Broggini, Georgios Spyropoulos, Andrés Canales‐Johnson, Wolf Singer, Pascal Fries, Benjamin Dann, Swathi Sheshadri and Johanna Klon-Lipok and has published in prestigious journals such as Nature Communications, Neuron and Current Biology.

In The Last Decade

Cem Uran

11 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cem Uran Germany	9	356	185	25	24	21	11	392
João D. Semedo Portugal	7	362 1.0×	149 0.8×	21 0.8×	24 1.0×	16 0.8×	10	395
Clarissa J. Whitmire United States	10	281 0.8×	209 1.1×	35 1.4×	12 0.5×	22 1.0×	14	360
Mircea I. Chelaru United States	10	313 0.9×	220 1.2×	45 1.8×	36 1.5×	12 0.6×	19	410
Benjamin Dann Germany	9	330 0.9×	105 0.6×	22 0.9×	17 0.7×	12 0.6×	10	382
Christian Waiblinger United States	9	287 0.8×	218 1.2×	12 0.5×	11 0.5×	40 1.9×	12	336
Zoran Tiganj United States	11	498 1.4×	238 1.3×	34 1.4×	9 0.4×	16 0.8×	23	533
Jianguang Ni United States	8	194 0.5×	133 0.7×	32 1.3×	10 0.4×	8 0.4×	11	263
Rachel E. Field United States	3	242 0.7×	182 1.0×	41 1.6×	12 0.5×	29 1.4×	3	300
Marc Alwin Gieselmann United Kingdom	9	379 1.1×	175 0.9×	26 1.0×	28 1.2×	18 0.9×	11	411
Yonatan Katz Israel	9	425 1.2×	321 1.7×	47 1.9×	31 1.3×	36 1.7×	16	486

Countries citing papers authored by Cem Uran

Since Specialization

Citations

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

Fields of papers citing papers by Cem Uran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cem Uran

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

All Works

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11 of 11 papers shown

Schneider, Marius, et al.. (2025). Distinct roles of PV and Sst interneurons in visually induced gamma oscillations. Cell Reports. 44(3). 115385–115385. 4 indexed citations

Komatsu, Misako, Cem Uran, Kai J. Miller, et al.. (2024). Distributed representations of prediction error signals across the cortical hierarchy are synergistic. Nature Communications. 15(1). 3941–3941. 8 indexed citations

Vinck, Martin, et al.. (2024). Large-scale interactions in predictive processing: oscillatory versus transient dynamics. Trends in Cognitive Sciences. 29(2). 133–148. 11 indexed citations

Vinck, Martin, Cem Uran, Georgios Spyropoulos, et al.. (2023). Principles of large-scale neural interactions. Neuron. 111(7). 987–1002. 64 indexed citations

Schneider, Marius, et al.. (2023). Cell-type-specific propagation of visual flicker. Cell Reports. 42(5). 112492–112492. 22 indexed citations

Vessel, Edward A., et al.. (2023). Self-Relevance Predicts the Aesthetic Appeal of Real and Synthetic Artworks Generated via Neural Style Transfer. Psychological Science. 34(9). 1007–1023. 11 indexed citations

Uran, Cem, Alina Peter, Andreea Lazăr, et al.. (2022). Predictive coding of natural images by V1 firing rates and rhythmic synchronization. Neuron. 110(7). 1240–1257.e8. 25 indexed citations

Schneider, Marius, Ana Clara Broggini, Benjamin Dann, et al.. (2021). A mechanism for inter-areal coherence through communication based on connectivity and oscillatory power. Neuron. 109(24). 4050–4067.e12. 82 indexed citations

Neuenschwander, Sergio, Jennifer L. Hoy, Bruss Lima, et al.. (2019). A Distinct Class of Bursting Neurons with Strong Gamma Synchronization and Stimulus Selectivity in Monkey V1. Neuron. 105(1). 180–197.e5. 36 indexed citations

10.

Peter, Alina, Cem Uran, Johanna Klon-Lipok, et al.. (2019). Surface color and predictability determine contextual modulation of V1 firing and gamma oscillations. eLife. 8. 51 indexed citations

11.

Epple, Robert, Zoë Jäckel, David Eriksson, et al.. (2017). A Functional Gradient in the Rodent Prefrontal Cortex Supports Behavioral Inhibition. Current Biology. 27(4). 549–555. 78 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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