Yara Kyrychenko

500 total citations · 1 hit paper
7 papers, 91 citations indexed

About

Yara Kyrychenko is a scholar working on Sociology and Political Science, Communication and Literature and Literary Theory. According to data from OpenAlex, Yara Kyrychenko has authored 7 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 2 papers in Communication and 2 papers in Literature and Literary Theory. Recurrent topics in Yara Kyrychenko's work include Misinformation and Its Impacts (3 papers), Social Media and Politics (2 papers) and Social and Intergroup Psychology (2 papers). Yara Kyrychenko is often cited by papers focused on Misinformation and Its Impacts (3 papers), Social Media and Politics (2 papers) and Social and Intergroup Psychology (2 papers). Yara Kyrychenko collaborates with scholars based in United Kingdom, Canada and United States. Yara Kyrychenko's co-authors include Jon Roozenbeek, Sander van der Linden, Friedrich M. Götz, Rakoen Maertens, William P. McClanahan, John R. Kerr, Hudson Golino, Steve Rathje, Claudia R. Schneider and Stefan Stieger and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yara Kyrychenko

5 papers receiving 88 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.

The Misinformation Susceptibility Test (MIST): A psychometrically validated measure of news veracity discernment

2023 52 citations Rakoen Maertens, Friedrich M. Götz et al. Behavior Research Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yara Kyrychenko United Kingdom	4	55	21	19	13	8	7	91
Michael Geers Germany	5	88 1.6×	38 1.8×	31 1.6×	20 1.5×	10 1.3×	7	109
Matthew S. Nurse Australia	2	55 1.0×	18 0.9×	15 0.8×	6 0.5×	11 1.4×	2	70
Szymon Sacher United States	3	62 1.1×	15 0.7×	6 0.3×	3 0.2×	8 1.0×	5	97
Shirsho Biswas United States	3	61 1.1×	15 0.7×	6 0.3×	3 0.2×	8 1.0×	6	94
Rocky Cole United States	4	138 2.5×	64 3.0×	39 2.1×	14 1.1×	16 2.0×	5	158
Michael Bütter Germany	6	95 1.7×	33 1.6×	20 1.1×	14 1.1×	13 1.6×	20	116
Isabelle van der Vegt United Kingdom	5	95 1.7×	19 0.9×	36 1.9×	2 0.2×	6 0.8×	15	124
Tatiana Celadin Italy	5	56 1.0×	19 0.9×	7 0.4×	4 0.3×	15 1.9×	8	69
Tom Étienne United States	6	89 1.6×	6 0.3×	17 0.9×	6 0.5×	30 3.8×	13	114
Alivia Zubrod United States	5	79 1.4×	12 0.6×	8 0.4×	4 0.3×	32 4.0×	8	113

Countries citing papers authored by Yara Kyrychenko

Since Specialization

Citations

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

Fields of papers citing papers by Yara Kyrychenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yara Kyrychenko

This figure shows the co-authorship network connecting the top 25 collaborators of Yara Kyrychenko. A scholar is included among the top collaborators of Yara Kyrychenko 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 Yara Kyrychenko. Yara Kyrychenko 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:

7 of 7 papers shown

1.

Kyrychenko, Yara, et al.. (2025). Profiling misinformation susceptibility. Personality and Individual Differences. 241. 113177–113177. 1 indexed citations

2.

Kyrychenko, Yara, et al.. (2025). Mapping the online manipulation economy. Science. 390(6778). 1112–1114.

3.

Marks, Melanie, et al.. (2025). Ingroup solidarity drives social media engagement after political crises. Proceedings of the National Academy of Sciences. 122(35). e2512765122–e2512765122.

4.

Kyrychenko, Yara, Tymofii Brik, Sander van der Linden, & Jon Roozenbeek. (2024). Social identity correlates of social media engagement before and after the 2022 Russian invasion of Ukraine. Nature Communications. 15(1). 8127–8127. 6 indexed citations

5.

Kyrychenko, Yara, et al.. (2024). Generative language models exhibit social identity biases. Nature Computational Science. 5(1). 65–75. 24 indexed citations

6.

Roozenbeek, Jon, et al.. (2024). Beyond the headlines: On the efficacy and effectiveness of misinformation interventions. 2(1). 8 indexed citations

7.

Maertens, Rakoen, Friedrich M. Götz, Hudson Golino, et al.. (2023). The Misinformation Susceptibility Test (MIST): A psychometrically validated measure of news veracity discernment. Behavior Research Methods. 56(3). 1863–1899. 52 indexed citations breakdown →

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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