Т. Н. Федорова

129 total papers · 1.2k total citations
89 papers, 940 citations indexed

About

Т. Н. Федорова is a scholar working on Physiology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Т. Н. Федорова has authored 89 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Physiology, 28 papers in Organic Chemistry and 21 papers in Cellular and Molecular Neuroscience. Recurrent topics in Т. Н. Федорова's work include Biochemical effects in animals (48 papers), Free Radicals and Antioxidants (26 papers) and Neuroscience and Neuropharmacology Research (16 papers). Т. Н. Федорова is often cited by papers focused on Biochemical effects in animals (48 papers), Free Radicals and Antioxidants (26 papers) and Neuroscience and Neuropharmacology Research (16 papers). Т. Н. Федорова collaborates with scholars based in Russia, Tajikistan and Slovakia. Т. Н. Федорова's co-authors include А. А. Болдырев, S. L. Stvolinsky, Alexander V. Lopachev, С. Н. Иллариошкин, Dušan Dobrota, I. A. Ivanova‐Smolenskaya, Eva Babušíková, Maria Stepanova, A Drgová and В. С. Орлова and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Т. Н. Федорова

81 papers receiving 918 citations

Author Peers

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

Author Last Decade Papers Cites
Т. Н. Федорова 533 346 245 134 103 89 940
Takao Matsuo 308 0.6× 172 0.5× 421 1.7× 53 0.4× 129 1.3× 34 1.2k
Hironaka Aihara 249 0.5× 110 0.3× 350 1.4× 67 0.5× 443 4.3× 111 1.1k
Annamaria Fidilio 239 0.4× 100 0.3× 315 1.3× 99 0.7× 80 0.8× 30 991
Jakub Drożak 321 0.6× 193 0.6× 364 1.5× 66 0.5× 29 0.3× 34 880
Kumar V.S. Nemmani 336 0.6× 117 0.3× 440 1.8× 30 0.2× 237 2.3× 39 1.2k
A Dlabac 203 0.4× 97 0.3× 289 1.2× 89 0.7× 414 4.0× 71 940
Takeo Fukuda 222 0.4× 157 0.5× 289 1.2× 24 0.2× 466 4.5× 80 1.2k
Joanne R. Mathiasen 232 0.4× 155 0.4× 644 2.6× 44 0.3× 444 4.3× 51 1.2k
Klára Gyires 268 0.5× 158 0.5× 360 1.5× 26 0.2× 260 2.5× 54 1.1k
Ryuichi Ishida 114 0.2× 240 0.7× 415 1.7× 50 0.4× 216 2.1× 76 1.1k

Countries citing papers authored by Т. Н. Федорова

Since Specialization
Citations

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

Fields of papers citing papers by Т. Н. Федорова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Т. Н. Федорова. 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 Т. Н. Федорова. The network helps show where Т. Н. Федорова may publish in the future.

Co-authorship network of co-authors of Т. Н. Федорова

This figure shows the co-authorship network connecting the top 25 collaborators of Т. Н. Федорова. A scholar is included among the top collaborators of Т. Н. Федорова 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 Т. Н. Федорова. Т. Н. Федорова 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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