Natalia Suntsova

29 total papers · 1.6k total citations
26 papers, 1.3k citations indexed

About

Natalia Suntsova is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Natalia Suntsova has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 15 papers in Endocrine and Autonomic Systems and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Natalia Suntsova's work include Sleep and Wakefulness Research (24 papers), Circadian rhythm and melatonin (13 papers) and Sleep and related disorders (11 papers). Natalia Suntsova is often cited by papers focused on Sleep and Wakefulness Research (24 papers), Circadian rhythm and melatonin (13 papers) and Sleep and related disorders (11 papers). Natalia Suntsova collaborates with scholars based in United States, Russia and Georgia. Natalia Suntsova's co-authors include Dennis McGinty, Rubén Guzmán-Marı́n, Ronald Szymusiak, Ronald Szymusiak, Melvi Methippara, Tariq Bashir, Md. Noor Alam, Sunil Kumar, Hui Gong and Noor Alam and has published in prestigious journals such as Journal of Neuroscience, The Journal of Physiology and Journal of Neurophysiology.

In The Last Decade

Natalia Suntsova

24 papers receiving 1.2k 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 Suntsova 1.0k 643 473 328 239 26 1.3k
Rubén Guzmán-Marı́n 1.0k 1.0× 655 1.0× 495 1.0× 370 1.1× 222 0.9× 19 1.3k
Yan‐Jia Luo 653 0.6× 308 0.5× 186 0.4× 394 1.2× 140 0.6× 25 1.1k
Christopher P. Ward 589 0.6× 317 0.5× 246 0.5× 241 0.7× 92 0.4× 31 1.2k
Daniel Kroeger 736 0.7× 564 0.9× 172 0.4× 446 1.4× 70 0.3× 21 1.2k
Thierry Gallopin 1.0k 1.0× 607 0.9× 419 0.9× 866 2.6× 179 0.7× 32 1.8k
Stephen D. Glasgow 803 0.8× 364 0.6× 192 0.4× 710 2.2× 149 0.6× 17 1.3k
Hui Gong 990 1.0× 816 1.3× 580 1.2× 232 0.7× 63 0.3× 20 1.4k
Stéphanie Maret 871 0.9× 544 0.8× 498 1.1× 287 0.9× 46 0.2× 10 1.1k
John G. McCoy 478 0.5× 295 0.5× 247 0.5× 304 0.9× 73 0.3× 33 1.1k
Joel H. Benington 1.3k 1.3× 807 1.3× 638 1.3× 481 1.5× 35 0.1× 14 1.6k

Countries citing papers authored by Natalia Suntsova

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Suntsova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Suntsova

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Suntsova. A scholar is included among the top collaborators of Natalia Suntsova 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 Suntsova. Natalia Suntsova 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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