N. V. Gulyaeva

369 total papers · 4.1k total citations
267 papers, 3.0k citations indexed

About

N. V. Gulyaeva is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Physiology. According to data from OpenAlex, N. V. Gulyaeva has authored 267 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Cellular and Molecular Neuroscience, 69 papers in Behavioral Neuroscience and 64 papers in Physiology. Recurrent topics in N. V. Gulyaeva's work include Neuroscience and Neuropharmacology Research (70 papers), Stress Responses and Cortisol (69 papers) and Tryptophan and brain disorders (42 papers). N. V. Gulyaeva is often cited by papers focused on Neuroscience and Neuropharmacology Research (70 papers), Stress Responses and Cortisol (69 papers) and Tryptophan and brain disorders (42 papers). N. V. Gulyaeva collaborates with scholars based in Russia, United States and Germany. N. V. Gulyaeva's co-authors include M. Yu. Stepanichev, М. В. Онуфриев, Н. А. Лазарева, А. А. Yakovlev, Alla Guekht, I. V. Kudryashova, Т. А. Дружкова, Г. Т. Шишкина, Н. Н. Дыгало and А. А. Шпак and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.

In The Last Decade

N. V. Gulyaeva

251 papers receiving 3.0k citations

Author Peers

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

Author Last Decade Papers Cites
N. V. Gulyaeva 860 752 747 658 589 267 3.0k
Gen-Cheng Wu 1.1k 1.3× 1.5k 2.0× 780 1.0× 519 0.8× 566 1.0× 126 3.7k
Osamu Nakagawasai 946 1.1× 701 0.9× 1.1k 1.4× 245 0.4× 411 0.7× 133 3.0k
Agnieszka Basta‐Kaim 690 0.8× 615 0.8× 975 1.3× 1.3k 2.0× 698 1.2× 167 4.2k
Bogusława Budziszewska 1.3k 1.5× 526 0.7× 1.2k 1.6× 1.3k 1.9× 487 0.8× 197 4.7k
Hongxin Dong 907 1.1× 1.5k 2.0× 954 1.3× 730 1.1× 532 0.9× 89 3.9k
Carlos Alberto Gonçalves 823 1.0× 630 0.8× 1.5k 2.0× 441 0.7× 573 1.0× 120 4.5k
Ali Rashidy‐Pour 918 1.1× 695 0.9× 669 0.9× 1.0k 1.5× 382 0.6× 227 4.0k
Tatyana Strekalova 1.1k 1.3× 733 1.0× 958 1.3× 1.5k 2.3× 688 1.2× 125 4.4k
Yanbo Zhang 493 0.6× 525 0.7× 1.0k 1.4× 233 0.4× 613 1.0× 181 3.9k
Betina Elfving 1.1k 1.3× 513 0.7× 780 1.0× 729 1.1× 254 0.4× 112 3.3k

Countries citing papers authored by N. V. Gulyaeva

Since Specialization
Citations

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

Fields of papers citing papers by N. V. Gulyaeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. V. Gulyaeva. 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 N. V. Gulyaeva. The network helps show where N. V. Gulyaeva may publish in the future.

Co-authorship network of co-authors of N. V. Gulyaeva

This figure shows the co-authorship network connecting the top 25 collaborators of N. V. Gulyaeva. A scholar is included among the top collaborators of N. V. Gulyaeva 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 N. V. Gulyaeva. N. V. Gulyaeva 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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