Dika Kuljis

1.1k total citations
19 papers, 806 citations indexed

About

Dika Kuljis is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Dika Kuljis has authored 19 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 8 papers in Endocrine and Autonomic Systems and 6 papers in Molecular Biology. Recurrent topics in Dika Kuljis's work include Circadian rhythm and melatonin (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Genetic Neurodegenerative Diseases (6 papers). Dika Kuljis is often cited by papers focused on Circadian rhythm and melatonin (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Genetic Neurodegenerative Diseases (6 papers). Dika Kuljis collaborates with scholars based in United States, Japan and Switzerland. Dika Kuljis's co-authors include Christopher S. Colwell, Dawn H. Loh, Takashi Kudo, Alison L. Barth, Candice Contet, Scott P. Goulding, Analyne Schroeder, Danny Truong, Maria C. Jordan and Kenneth P. Roos and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Dika Kuljis

18 papers receiving 802 citations

Peers

Dika Kuljis

CMN

EAS

PHYSI

Horia Pribiag Canada

Yuta Ishizuka Japan

Irene Brunk Germany

Yuji Ozeki Japan

Ju-en Zhang China

M. Schnizler Germany

Howard K. Strahlendorf United States

Analyne Schroeder United States

Jean C. Strahlendorf United States

Hendrik W. Steenland Canada

Horia Pribiag Canada

Dika Kuljis

540 ×1.4

CMN

256 ×0.8

169 ×0.6

EAS

178 ×1.1

PHYSI

130 ×1.0

Citations per year, relative to Dika Kuljis Dika Kuljis (= 1×) peers Horia Pribiag

Countries citing papers authored by Dika Kuljis

Since Specialization

Citations

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

Fields of papers citing papers by Dika Kuljis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dika Kuljis

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

All Works

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19 of 19 papers shown

Kuljis, Dika, et al.. (2025). Somatostatin neurons detect stimulus-reward contingencies to reduce neocortical inhibition during learning. Cell Reports. 44(5). 115606–115606. 2 indexed citations

Kuljis, Dika, Kristina D. Micheva, Ajit Ray, et al.. (2021). Gephyrin-Lacking PV Synapses on Neocortical Pyramidal Neurons. International Journal of Molecular Sciences. 22(18). 10032–10032. 4 indexed citations

Ray, Ajit, Sarah M. Bernhard, Dika Kuljis, Marcel P. Bruchez, & Alison L. Barth. (2020). Early developmental abnormalities in hippocampal synapse distribution in a mouse model of Alzheimer’s disease. Alzheimer s & Dementia. 16(S2). 1 indexed citations

Smarr, Benjamin L., Dawn H. Loh, Takashi Kudo, et al.. (2019). Circadian dysfunction in the Q175 model of Huntington's disease: Network analysis. Journal of Neuroscience Research. 97(12). 1606–1623. 18 indexed citations

Kuljis, Dika, et al.. (2019). Fluorescence-Based Quantitative Synapse Analysis for Cell Type-Specific Connectomics. eNeuro. 6(5). ENEURO.0193–19.2019. 23 indexed citations

Whittaker, Daniel S., Dawn H. Loh, Huei‐Bin Wang, et al.. (2018). Circadian-based Treatment Strategy Effective in the BACHD Mouse Model of Huntington’s Disease. Journal of Biological Rhythms. 33(5). 535–554. 34 indexed citations

Kuljis, Dika, Takashi Kudo, Yu Tahara, Cristina A. Ghiani, & Christopher S. Colwell. (2018). Pathophysiology in the suprachiasmatic nucleus in mouse models of Huntington’s disease. Journal of Neuroscience Research. 96(12). 1862–1875. 18 indexed citations

Pratt, Christopher P., Dika Kuljis, Gregg E. Homanics, et al.. (2017). Tagging of Endogenous BK Channels with a Fluorogen-Activating Peptide Reveals β4-Mediated Control of Channel Clustering in Cerebellum. Frontiers in Cellular Neuroscience. 11. 337–337. 11 indexed citations

Contet, Candice, Scott P. Goulding, Dika Kuljis, & Alison L. Barth. (2016). BK Channels in the Central Nervous System. International review of neurobiology. 128. 281–342. 127 indexed citations

10.

Kuljis, Dika, et al.. (2016). Sex Differences in Circadian Dysfunction in the BACHD Mouse Model of Huntington’s Disease. PLoS ONE. 11(2). e0147583–e0147583. 37 indexed citations

11.

Chandra, Ankush, et al.. (2015). Substrate Availability of Mutant SPT Alters Neuronal Branching and Growth Cone Dynamics in Dorsal Root Ganglia. Journal of Neuroscience. 35(40). 13713–13719. 16 indexed citations

12.

Vosko, Andrew M., Hester C. van Diepen, Dika Kuljis, et al.. (2015). Role of vasoactive intestinal peptide in the light input to the circadian system. European Journal of Neuroscience. 42(2). 1839–1848. 21 indexed citations

13.

Loh, Dawn H., Dika Kuljis, Yipeng Wu, et al.. (2014). Disrupted Reproduction, Estrous Cycle, and Circadian Rhythms in Female Mice Deficient in Vasoactive Intestinal Peptide. Journal of Biological Rhythms. 29(5). 355–369. 49 indexed citations

14.

Kudo, Takashi, et al.. (2013). Circadian dysfunction may be a key component of the non-motor symptoms of Parkinson's disease: Insights from a transgenic mouse model. Experimental Neurology. 243. 57–66. 52 indexed citations

15.

Kuljis, Dika, Dawn H. Loh, Danny Truong, et al.. (2013). Gonadal- and Sex-Chromosome-Dependent Sex Differences in the Circadian System. Endocrinology. 154(4). 1501–1512. 116 indexed citations

16.

Kuljis, Dika, et al.. (2012). Sleep and circadian dysfunction in neurodegenerative disorders: insights from a mouse model of Huntington's disease.. PubMed. 51(3). 93–106. 19 indexed citations

17.

Kudo, Takashi, Dawn H. Loh, Dika Kuljis, Cara M. Constance, & Christopher S. Colwell. (2011). Fast Delayed Rectifier Potassium Current: Critical for Input and Output of the Circadian System. Journal of Neuroscience. 31(8). 2746–2755. 44 indexed citations

18.

Kudo, Takashi, Analyne Schroeder, Dawn H. Loh, et al.. (2010). Dysfunctions in circadian behavior and physiology in mouse models of Huntington's disease. Experimental Neurology. 228(1). 80–90. 138 indexed citations

19.

Eichler, Florian, Thorsten Hornemann, Alex McCampbell, et al.. (2009). Overexpression of the Wild-Type SPT1 Subunit Lowers Desoxysphingolipid Levels and Rescues the Phenotype of HSAN1. Journal of Neuroscience. 29(46). 14646–14651. 76 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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