Natalia Chechko

67 total papers · 1.2k total citations
48 papers, 850 citations indexed

About

Natalia Chechko is a scholar working on Cognitive Neuroscience, Public Health, Environmental and Occupational Health and Social Psychology. According to data from OpenAlex, Natalia Chechko has authored 48 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 21 papers in Public Health, Environmental and Occupational Health and 15 papers in Social Psychology. Recurrent topics in Natalia Chechko's work include Maternal Mental Health During Pregnancy and Postpartum (19 papers), Functional Brain Connectivity Studies (10 papers) and Neuroendocrine regulation and behavior (10 papers). Natalia Chechko is often cited by papers focused on Maternal Mental Health During Pregnancy and Postpartum (19 papers), Functional Brain Connectivity Studies (10 papers) and Neuroendocrine regulation and behavior (10 papers). Natalia Chechko collaborates with scholars based in Germany, Netherlands and United States. Natalia Chechko's co-authors include Ute Habel, Frank Schneider, Susanne Stickel, Thilo Kellermann, Mikhail Zvyagintsev, Klaus Mathiak, Marc Augustin, Elmar Stickeler, Michael Czisch and Philipp G. Sämann and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Natalia Chechko

48 papers receiving 841 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Natalia Chechko 422 244 202 166 145 48 850
Margaret M. Benningfield 289 0.7× 190 0.8× 134 0.7× 104 0.6× 257 1.8× 36 796
Kristina M. Rapuano 555 1.3× 222 0.9× 142 0.7× 81 0.5× 261 1.8× 31 1.0k
José M. Martínez‐Selva 252 0.6× 390 1.6× 71 0.4× 132 0.8× 127 0.9× 32 796
Martijn S. van Noorden 293 0.7× 191 0.8× 54 0.3× 120 0.7× 283 2.0× 36 976
Lydia Kogler 448 1.1× 293 1.2× 59 0.3× 210 1.3× 146 1.0× 36 934
Maggie M. Sweitzer 336 0.8× 264 1.1× 71 0.4× 61 0.4× 187 1.3× 42 1.0k
Shota Nishitani 159 0.4× 168 0.7× 82 0.4× 346 2.1× 207 1.4× 54 947
Wolfgang Scharke 381 0.9× 112 0.5× 73 0.4× 221 1.3× 188 1.3× 23 728
Sabine Kagerer 469 1.1× 338 1.4× 107 0.5× 236 1.4× 252 1.7× 25 1.1k
Véronique Daneault 383 0.9× 371 1.5× 56 0.3× 134 0.8× 410 2.8× 29 992

Countries citing papers authored by Natalia Chechko

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Chechko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Chechko

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

All Works

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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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