D. А. Pichugina

75 total papers · 478 total citations
40 papers, 407 citations indexed

About

D. А. Pichugina is a scholar working on Materials Chemistry, Catalysis and Organic Chemistry. According to data from OpenAlex, D. А. Pichugina has authored 40 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Materials Chemistry, 16 papers in Catalysis and 11 papers in Organic Chemistry. Recurrent topics in D. А. Pichugina's work include Catalytic Processes in Materials Science (25 papers), Nanocluster Synthesis and Applications (19 papers) and Catalysis and Oxidation Reactions (14 papers). D. А. Pichugina is often cited by papers focused on Catalytic Processes in Materials Science (25 papers), Nanocluster Synthesis and Applications (19 papers) and Catalysis and Oxidation Reactions (14 papers). D. А. Pichugina collaborates with scholars based in Russia, Tajikistan and Mexico. D. А. Pichugina's co-authors include Alexander F. Shestakov, Н. Е. Кузьменко, С. А. Николаев, Mikhail Askerka, A. F. Shestakov, Нина К. Ратманова, С. Н. Ланин, А. В. Задесенец, Evgeny Filatov and Д. И. Потемкин and has published in prestigious journals such as The Journal of Physical Chemistry C, Journal of Catalysis and Physical Chemistry Chemical Physics.

In The Last Decade

D. А. Pichugina

36 papers receiving 394 citations

Author Peers

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

Author						Papers	Cites
D. А. Pichugina	320	86	83	75	61	40	407
Ilya V. Chepkasov	337 1.1×	57 0.7×	49 0.6×	79 1.1×	64 1.0×	48	476
Koji Tajiri	284 0.9×	36 0.4×	67 0.8×	49 0.7×	53 0.9×	32	425
P.K. Sinha	365 1.1×	75 0.9×	59 0.7×	60 0.8×	40 0.7×	24	494
Vít Vykoukal	233 0.7×	49 0.6×	67 0.8×	37 0.5×	111 1.8×	30	433
Huaiyu Chen	212 0.7×	59 0.7×	39 0.5×	117 1.6×	63 1.0×	31	413
Shuhei Nagaoka	243 0.8×	63 0.7×	95 1.1×	50 0.7×	31 0.5×	22	389
R. K. Hailstone	308 1.0×	84 1.0×	58 0.7×	31 0.4×	41 0.7×	26	427
Taneki Tokuda	268 0.8×	52 0.6×	118 1.4×	39 0.5×	23 0.4×	29	371
A. Lorena Picone	255 0.8×	38 0.4×	105 1.3×	72 1.0×	39 0.6×	21	370
Daniel Beltrán	248 0.8×	122 1.4×	38 0.5×	37 0.5×	49 0.8×	24	448

Countries citing papers authored by D. А. Pichugina

Since Specialization

Citations

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

Fields of papers citing papers by D. А. Pichugina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. А. Pichugina. 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 D. А. Pichugina. The network helps show where D. А. Pichugina may publish in the future.

Co-authorship network of co-authors of D. А. Pichugina

This figure shows the co-authorship network connecting the top 25 collaborators of D. А. Pichugina. A scholar is included among the top collaborators of D. А. Pichugina 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 D. А. Pichugina. D. А. Pichugina 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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