V. A. Kuzmitsky

24 total papers · 459 total citations
19 papers, 399 citations indexed

About

V. A. Kuzmitsky is a scholar working on Materials Chemistry, Pulmonary and Respiratory Medicine and Physical and Theoretical Chemistry. According to data from OpenAlex, V. A. Kuzmitsky has authored 19 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Physical and Theoretical Chemistry. Recurrent topics in V. A. Kuzmitsky's work include Porphyrin and Phthalocyanine Chemistry (15 papers), Photodynamic Therapy Research Studies (9 papers) and Photochemistry and Electron Transfer Studies (9 papers). V. A. Kuzmitsky is often cited by papers focused on Porphyrin and Phthalocyanine Chemistry (15 papers), Photodynamic Therapy Research Studies (9 papers) and Photochemistry and Electron Transfer Studies (9 papers). V. A. Kuzmitsky collaborates with scholars based in Belarus, Russia and Brazil. V. A. Kuzmitsky's co-authors include K. N. Solovyov, Vladimir N. Uversky, Konstantin К. Turoverov, V. I. Stsiapura, Irina М. Kuznetsova, Olga I. Povarova, А. А. Маскевич, V. N. Knyukshto, А. М. Шульга and Е. А. Макарова and has published in prestigious journals such as Journal of Proteome Research, Chemical Physics and Journal of Luminescence.

In The Last Decade

V. A. Kuzmitsky

18 papers receiving 390 citations

Author Peers

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

Author						Papers	Cites
V. A. Kuzmitsky	230	167	99	78	75	19	399
Kateryna D. Volkova	142 0.6×	177 1.1×	64 0.6×	30 0.4×	81 1.1×	12	386
L.J. Berliner	81 0.4×	156 0.9×	34 0.3×	28 0.4×	35 0.5×	21	408
Philip A. Brown	178 0.8×	104 0.6×	33 0.3×	27 0.3×	83 1.1×	14	436
M. Aubailly	68 0.3×	161 1.0×	113 1.1×	45 0.6×	21 0.3×	22	374
Sílvia G. Estácio	81 0.4×	149 0.9×	79 0.8×	18 0.2×	43 0.6×	16	358
H. Cleary Stynes	226 1.0×	95 0.6×	53 0.5×	16 0.2×	20 0.3×	9	433
Hristina R. Zhekova	110 0.5×	121 0.7×	83 0.8×	10 0.1×	24 0.3×	21	430
R. Santus	126 0.5×	166 1.0×	69 0.7×	181 2.3×	10 0.1×	18	439
Elena Tkachenko	271 1.2×	69 0.4×	52 0.5×	42 0.5×	14 0.2×	22	381
Li Chen	229 1.0×	45 0.3×	20 0.2×	26 0.3×	64 0.9×	19	376

Countries citing papers authored by V. A. Kuzmitsky

Since Specialization

Citations

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

Fields of papers citing papers by V. A. Kuzmitsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. A. Kuzmitsky

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