Т. Р. Усачева

110 total papers · 874 total citations
88 papers, 728 citations indexed

About

Т. Р. Усачева is a scholar working on Spectroscopy, Organic Chemistry and Filtration and Separation. According to data from OpenAlex, Т. Р. Усачева has authored 88 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Spectroscopy, 39 papers in Organic Chemistry and 22 papers in Filtration and Separation. Recurrent topics in Т. Р. Усачева's work include Analytical Chemistry and Chromatography (46 papers), Molecular Sensors and Ion Detection (25 papers) and Chemical and Physical Properties in Aqueous Solutions (22 papers). Т. Р. Усачева is often cited by papers focused on Analytical Chemistry and Chromatography (46 papers), Molecular Sensors and Ion Detection (25 papers) and Chemical and Physical Properties in Aqueous Solutions (22 papers). Т. Р. Усачева collaborates with scholars based in Russia, Italy and Vietnam. Т. Р. Усачева's co-authors include В. А. Шарнин, Giuseppe Della Gatta, Elena Badea, Enrico Matteoli, G. A. Gamov, Concetta Giancola, Maksim N. Zavalishin, Bartłomiej Palecz, I. V. Terekhova and Salvatore Coluccia and has published in prestigious journals such as Chemical Physics Letters, Molecules and RSC Advances.

In The Last Decade

Т. Р. Усачева

79 papers receiving 686 citations

Author Peers

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

Author						Papers	Cites
Т. Р. Усачева	333	220	160	123	118	88	728
Ingvar Danielsson	152 0.5×	535 2.4×	135 0.8×	131 1.1×	45 0.4×	40	890
Lajos Barcza	298 0.9×	321 1.5×	321 2.0×	203 1.7×	44 0.4×	62	905
Svetlana V. Blokhina	178 0.5×	300 1.4×	254 1.6×	83 0.7×	64 0.5×	83	642
Fumikatsu Tokiwa	207 0.6×	608 2.8×	44 0.3×	42 0.3×	98 0.8×	68	852
Maciej Przybyłek	240 0.7×	120 0.5×	445 2.8×	38 0.3×	103 0.9×	56	815
Tomáš Křížek	180 0.5×	78 0.4×	92 0.6×	35 0.3×	52 0.4×	74	884
Margareta Zackrisson	107 0.3×	192 0.9×	189 1.2×	23 0.2×	48 0.4×	47	779
Vilmalí López-Mejías	140 0.4×	137 0.6×	504 3.1×	107 0.9×	37 0.3×	37	836
Alexander E. Klimovitskii	113 0.3×	218 1.0×	142 0.9×	35 0.3×	35 0.3×	56	647
С. Н. Штыков	236 0.7×	200 0.9×	222 1.4×	24 0.2×	28 0.2×	108	870

Countries citing papers authored by Т. Р. Усачева

Since Specialization

Citations

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

Fields of papers citing papers by Т. Р. Усачева

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Т. Р. Усачева

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