Samora Okujeni

428 total citations
12 papers, 268 citations indexed

About

Samora Okujeni is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Samora Okujeni has authored 12 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Samora Okujeni's work include Neural dynamics and brain function (10 papers), Neuroscience and Neural Engineering (10 papers) and Neuroscience and Neuropharmacology Research (5 papers). Samora Okujeni is often cited by papers focused on Neural dynamics and brain function (10 papers), Neuroscience and Neural Engineering (10 papers) and Neuroscience and Neuropharmacology Research (5 papers). Samora Okujeni collaborates with scholars based in Germany, Netherlands and Denmark. Samora Okujeni's co-authors include Ulrich Egert, Florentin Wörgötter, Christian Tetzlaff, Markus Butz, Steffen Kandler, Jarno E. Mikkonen, Martin Riedmiller, Joschka Boedecker, Ahmad Raza Khan and Connie Sánchez and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and eLife.

In The Last Decade

Samora Okujeni

10 papers receiving 265 citations

Peers

Samora Okujeni

CN

CMN

EEE

SNP

MB

Sara Teller Spain

Gabriel Koch Ocker United States

Pablo Achard Belgium

Werner Van Geit Switzerland

Marta Bisio Italy

Tuomo Mäki‐Marttunen Norway

Damien Depannemaecker France

Matteo Cantarelli United Kingdom

Ivan Raikov United States

Ryan C. Kelly United States

Sara Teller Spain

Samora Okujeni

226 ×1.0

CN

189 ×1.1

CMN

67 ×1.3

EEE

58 ×1.3

SNP

36 ×1.1

MB

Citations per year, relative to Samora Okujeni Samora Okujeni (= 1×) peers Sara Teller

Countries citing papers authored by Samora Okujeni

Since Specialization

Citations

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

Fields of papers citing papers by Samora Okujeni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samora Okujeni

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

All Works

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12 of 12 papers shown

1.

Okujeni, Samora & Ulrich Egert. (2023). Structural Modularity Tunes Mesoscale Criticality in Biological Neuronal Networks. Journal of Neuroscience. 43(14). 2515–2526. 5 indexed citations

2.

Qvist, Per, Samora Okujeni, Ahmad Raza Khan, et al.. (2020). Layers II/III of Prefrontal Cortex in Df(h22q11)/+ Mouse Model of the 22q11.2 Deletion Display Loss of Parvalbumin Interneurons and Modulation of Neuronal Morphology and Excitability. Molecular Neurobiology. 57(12). 4978–4988. 9 indexed citations

3.

Okujeni, Samora & Ulrich Egert. (2019). Inhomogeneities in Network Structure and Excitability Govern Initiation and Propagation of Spontaneous Burst Activity. Frontiers in Neuroscience. 13. 543–543. 7 indexed citations

4.

Okujeni, Samora & Ulrich Egert. (2019). Self-organization of modular network architecture by activity-dependent neuronal migration and outgrowth. eLife. 8. 18 indexed citations

5.

Okujeni, Samora, Steffen Kandler, & Ulrich Egert. (2017). Mesoscale Architecture Shapes Initiation and Richness of Spontaneous Network Activity. Journal of Neuroscience. 37(14). 3972–3987. 39 indexed citations

6.

Okujeni, Samora, et al.. (2016). Autonomous Optimization of Targeted Stimulation of Neuronal Networks. PLoS Computational Biology. 12(8). e1005054–e1005054. 13 indexed citations

7.

Kilias, Antje, Samora Okujeni, Christian Boehler, et al.. (2015). Accurate neuronal tracing of microelectrodes based on PEDOT-dye coatings. 386–389. 2 indexed citations

8.

Okujeni, Samora, et al.. (2012). Quantitative examination of stimulus-response relations in cortical networks in vitro. Journal of Neurophysiology. 109(7). 1764–1774. 38 indexed citations

9.

Lavi, Ayal, et al.. (2011). State-dependent modulation of stimulus-response relations in cortical networks in vitro. BMC Neuroscience. 12(S1). 1 indexed citations

10.

Tetzlaff, Christian, Samora Okujeni, Ulrich Egert, Florentin Wörgötter, & Markus Butz. (2010). Self-Organized Criticality in Developing Neuronal Networks. PLoS Computational Biology. 6(12). e1001013–e1001013. 136 indexed citations

11.

Okujeni, Samora, et al.. (2010). Modeling persistent temporal patterns in dissociated cortical cultures using reservoir computing. BMC Neuroscience. 11(S1).

12.

Okujeni, Samora, et al.. (2009). Impaired structural plasticity increases connectivity in developing cortical networks. BMC Neuroscience. 10(S1).

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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