Duda Kvitsiani

2.6k total citations · 1 hit paper
9 papers, 1.7k citations indexed

About

Duda Kvitsiani is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Duda Kvitsiani has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Duda Kvitsiani's work include Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Photoreceptor and optogenetics research (2 papers). Duda Kvitsiani is often cited by papers focused on Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Photoreceptor and optogenetics research (2 papers). Duda Kvitsiani collaborates with scholars based in Denmark, United States and Hungary. Duda Kvitsiani's co-authors include Ádám Kepecs, Balázs Hangya, Z. Josh Huang, Hyun-Jae Pi, Joshua I. Sanders, Petra Stockinger, Shay Rotkopf, Barry J. Dickson, László Tirián and Sachin Ranade and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Duda Kvitsiani

9 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cortical interneurons that specialize in disinhibitory control

2013 774 citations Hyun-Jae Pi, Balázs Hangya et al. Nature profile →

Peers

Duda Kvitsiani

CMN

CN

MB

GENET

EEBS

Daniel Tomsic Argentina

Satoshi Watanabe Japan

Adam L. Taylor United States

Akira Mamiya United States

Vladimír Březina United States

William N. Frost United States

Stephen D. Van Hooser United States

Brad K. Hulse United States

Ashok Litwin-Kumar United States

Dawn M. Blitz United States

Daniel Tomsic Argentina

Duda Kvitsiani

1.3k ×1.0

CMN

606 ×0.6

CN

231 ×0.6

MB

154 ×0.6

GENET

424 ×1.8

EEBS

Citations per year, relative to Duda Kvitsiani Duda Kvitsiani (= 1×) peers Daniel Tomsic

Countries citing papers authored by Duda Kvitsiani

Since Specialization

Citations

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

Fields of papers citing papers by Duda Kvitsiani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duda Kvitsiani

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Tomasevic, Leo, et al.. (2022). Dose-response relationship between the variables of unilateral optogenetic stimulation and transcallosal evoked responses in rat motor cortex. Frontiers in Neuroscience. 16. 968839–968839. 1 indexed citations

2.

Hulme, Oliver J., et al.. (2021). Choice history effects in mice and humans improve reward harvesting efficiency. PLoS Computational Biology. 17(10). e1009452–e1009452. 4 indexed citations

3.

Sanders, Joshua I., et al.. (2020). Reward foraging task and model-based analysis reveal how fruit flies learn value of available options. PLoS ONE. 15(10). e0239616–e0239616. 5 indexed citations

4.

Kvitsiani, Duda, et al.. (2020). R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making. Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory). 33. 18872–18882. 4 indexed citations

5.

Hangya, Balázs, Hyun-Jae Pi, Duda Kvitsiani, Sachin Ranade, & Ádám Kepecs. (2014). From circuit motifs to computations: mapping the behavioral repertoire of cortical interneurons. Current Opinion in Neurobiology. 26. 117–124. 67 indexed citations

6.

Pi, Hyun-Jae, Balázs Hangya, Duda Kvitsiani, et al.. (2013). Cortical interneurons that specialize in disinhibitory control. Nature. 503(7477). 521–524. 774 indexed citations breakdown →

7.

Kvitsiani, Duda, Sachin Ranade, Balázs Hangya, et al.. (2013). Distinct behavioural and network correlates of two interneuron types in prefrontal cortex. Nature. 498(7454). 363–366. 358 indexed citations

8.

Taniguchi, Hiroki, Miao He, Priscilla Wu, et al.. (2011). A Resource of Cre Driver Lines for Genetic Targeting of GABAergic Neurons in Cerebral Cortex. Neuron. 72(6). 1091–1091. 43 indexed citations

9.

Stockinger, Petra, Duda Kvitsiani, Shay Rotkopf, László Tirián, & Barry J. Dickson. (2005). Neural Circuitry that Governs Drosophila Male Courtship Behavior. Cell. 121(5). 795–807. 414 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.

Explore authors with similar magnitude of impact