Iskra Pollak Dorocic

1.6k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Iskra Pollak Dorocic is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Cell Biology. According to data from OpenAlex, Iskra Pollak Dorocic has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 2 papers in Cell Biology. Recurrent topics in Iskra Pollak Dorocic's work include Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Iskra Pollak Dorocic is often cited by papers focused on Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Iskra Pollak Dorocic collaborates with scholars based in Sweden, United States and Netherlands. Iskra Pollak Dorocic's co-authors include Marie Carlén, Konstantinos Meletis, Yang Xuan, Laura Pozzi, Gilad Silberberg, James R. Peck, Johannes W. de Jong, Christine Liu, Stephan Lammel and Yvonne Johansson and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Iskra Pollak Dorocic

8 papers receiving 1.1k citations

Hit Papers

A Neural Circuit Mechanism for Encoding Aversive Stimuli ... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iskra Pollak Dorocic Sweden 7 694 456 323 107 100 8 1.1k
Gro Owren Nygaard Norway 13 783 1.1× 353 0.8× 452 1.4× 44 0.4× 145 1.4× 21 1.4k
Anthony T. Lee United States 16 855 1.2× 698 1.5× 390 1.2× 33 0.3× 39 0.4× 28 1.6k
Christopher H. Chen United States 14 496 0.7× 344 0.8× 252 0.8× 24 0.2× 124 1.2× 22 1.1k
Michael Pham United States 7 767 1.1× 461 1.0× 261 0.8× 14 0.1× 83 0.8× 9 1.3k
Nóra Szilágyi Hungary 15 578 0.8× 450 1.0× 280 0.9× 32 0.3× 40 0.4× 33 1.2k
Noriyuki Morita Japan 18 637 0.9× 190 0.4× 737 2.3× 24 0.2× 135 1.4× 28 1.7k
Juncal González‐Soriano Spain 16 640 0.9× 267 0.6× 551 1.7× 21 0.2× 39 0.4× 35 1.2k
James R. Peck United States 8 619 0.9× 403 0.9× 348 1.1× 9 0.1× 95 0.9× 8 1.1k
Georgia Gunner United States 10 340 0.5× 147 0.3× 256 0.8× 12 0.1× 41 0.4× 14 1.0k
Maya Groysman Israel 15 623 0.9× 413 0.9× 350 1.1× 8 0.1× 50 0.5× 22 1.3k

Countries citing papers authored by Iskra Pollak Dorocic

Since Specialization
Citations

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

Fields of papers citing papers by Iskra Pollak Dorocic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iskra Pollak Dorocic. 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 Iskra Pollak Dorocic. The network helps show where Iskra Pollak Dorocic may publish in the future.

Co-authorship network of co-authors of Iskra Pollak Dorocic

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

All Works

8 of 8 papers shown
1.
Mlost, Jakub, et al.. (2025). Evaluation of unsupervised learning algorithms for the classification of behavior from pose estimation data. Patterns. 6(5). 101237–101237. 1 indexed citations
2.
Pinto, Daniel F. Cardozo, Hongbin Yang, Iskra Pollak Dorocic, et al.. (2019). Characterization of transgenic mouse models targeting neuromodulatory systems reveals organizational principles of the dorsal raphe. Nature Communications. 10(1). 4633–4633. 47 indexed citations
3.
Ährlund‐Richter, Sofie, Yang Xuan, Josina Anna van Lunteren, et al.. (2019). A whole-brain atlas of monosynaptic input targeting four different cell types in the medial prefrontal cortex of the mouse. Nature Neuroscience. 22(4). 657–668. 150 indexed citations
4.
Jong, Johannes W. de, Iskra Pollak Dorocic, James R. Peck, et al.. (2018). A Neural Circuit Mechanism for Encoding Aversive Stimuli in the Mesolimbic Dopamine System. Neuron. 101(1). 133–151.e7. 332 indexed citations breakdown →
5.
Dorocic, Iskra Pollak, Daniel Fürth, Yang Xuan, et al.. (2014). A Whole-Brain Atlas of Inputs to Serotonergic Neurons of the Dorsal and Median Raphe Nuclei. Neuron. 83(3). 663–678. 323 indexed citations
6.
Pozzi, Laura, Iskra Pollak Dorocic, Xinming Wang, Marie Carlén, & Konstantinos Meletis. (2014). Mice Lacking NMDA Receptors in Parvalbumin Neurons Display Normal Depression-Related Behavior and Response to Antidepressant Action of NMDAR Antagonists. PLoS ONE. 9(1). e83879–e83879. 64 indexed citations
7.
Dorocic, Iskra Pollak, et al.. (2013). Target Selectivity of Feedforward Inhibition by Striatal Fast-Spiking Interneurons. Journal of Neuroscience. 33(4). 1678–1683. 64 indexed citations
8.
Lundberg, Karin, Camilla Bengtsson, Nastya Kharlamova, et al.. (2012). Genetic and environmental determinants for disease risk in subsets of rheumatoid arthritis defined by the anticitrullinated protein/peptide antibody fine specificity profile. Annals of the Rheumatic Diseases. 72(5). 652–658. 124 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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