Ж. В. Мацулевич

159 total papers · 410 total citations
64 papers, 287 citations indexed

About

Ж. В. Мацулевич is a scholar working on Organic Chemistry, Toxicology and Inorganic Chemistry. According to data from OpenAlex, Ж. В. Мацулевич has authored 64 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Organic Chemistry, 30 papers in Toxicology and 12 papers in Inorganic Chemistry. Recurrent topics in Ж. В. Мацулевич's work include Organoselenium and organotellurium chemistry (30 papers), Organic Chemistry Cycloaddition Reactions (19 papers) and Structural and Chemical Analysis of Organic and Inorganic Compounds (13 papers). Ж. В. Мацулевич is often cited by papers focused on Organoselenium and organotellurium chemistry (30 papers), Organic Chemistry Cycloaddition Reactions (19 papers) and Structural and Chemical Analysis of Organic and Inorganic Compounds (13 papers). Ж. В. Мацулевич collaborates with scholars based in Russia, Azerbaijan and Switzerland. Ж. В. Мацулевич's co-authors include А. В. Борисов, В. К. Османов, Victor N. Khrustalev, Georgy K. Fukin, Abel M. Maharramov, Alexander G. Tskhovrebov, E.V. Baranov, Alexander S. Novikov, Anatoly A. Kirichuk and Euro Solari and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Ж. В. Мацулевич

54 papers receiving 285 citations

Author Peers

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

Author						Papers	Cites
Ж. В. Мацулевич	218	154	72	70	37	64	287
В. К. Османов	243 1.1×	117 0.8×	49 0.7×	71 1.0×	34 0.9×	73	299
Sangeeta Bajpai	242 1.1×	137 0.9×	91 1.3×	75 1.1×	27 0.7×	49	328
Léon Christiaens	219 1.0×	142 0.9×	28 0.4×	42 0.6×	34 0.9×	29	311
Arun Dhaka	174 0.8×	61 0.4×	164 2.3×	90 1.3×	50 1.4×	19	321
Mikhail V. Il’in	225 1.0×	29 0.2×	106 1.5×	103 1.5×	26 0.7×	31	328
R. D. SHARMA	167 0.8×	64 0.4×	40 0.6×	99 1.4×	23 0.6×	23	296
Dipali N. Lande	205 0.9×	58 0.4×	96 1.3×	23 0.3×	43 1.2×	29	323
Leonid A. Shundrin	168 0.8×	51 0.3×	57 0.8×	23 0.3×	42 1.1×	52	315
S. V. Zinchenko	187 0.9×	41 0.3×	32 0.4×	40 0.6×	60 1.6×	53	315
A. Forchioni	131 0.6×	24 0.2×	51 0.7×	42 0.6×	52 1.4×	38	326

Countries citing papers authored by Ж. В. Мацулевич

Since Specialization

Citations

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

Fields of papers citing papers by Ж. В. Мацулевич

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ж. В. Мацулевич. 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 Ж. В. Мацулевич. The network helps show where Ж. В. Мацулевич may publish in the future.

Co-authorship network of co-authors of Ж. В. Мацулевич

This figure shows the co-authorship network connecting the top 25 collaborators of Ж. В. Мацулевич. A scholar is included among the top collaborators of Ж. В. Мацулевич 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 Ж. В. Мацулевич. Ж. В. Мацулевич 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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