V. Tamara Perchyonok

112 total papers · 679 total citations
52 papers, 485 citations indexed

About

V. Tamara Perchyonok is a scholar working on Organic Chemistry, Pharmaceutical Science and Orthodontics. According to data from OpenAlex, V. Tamara Perchyonok has authored 52 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Organic Chemistry, 12 papers in Pharmaceutical Science and 9 papers in Orthodontics. Recurrent topics in V. Tamara Perchyonok's work include Chemical Synthesis and Reactions (9 papers), Dental materials and restorations (9 papers) and Advanced Drug Delivery Systems (8 papers). V. Tamara Perchyonok is often cited by papers focused on Chemical Synthesis and Reactions (9 papers), Dental materials and restorations (9 papers) and Advanced Drug Delivery Systems (8 papers). V. Tamara Perchyonok collaborates with scholars based in Australia, China and South Africa. V. Tamara Perchyonok's co-authors include Shengmiao Zhang, Jianding Chen, Carl H. Schiesser, Theunis Oberholzer, Sias R. Grobler, Ioannis N. Lykakis, Dainis Dakternieks, Kellie L. Tuck, Margaret Johnson and Karmen Čondić‐Jurkić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and Polymer.

In The Last Decade

V. Tamara Perchyonok

51 papers receiving 452 citations

Author Peers

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

Author						Papers	Cites
V. Tamara Perchyonok	243	127	72	53	51	52	485
János Rohonczy	85 0.3×	133 1.0×	35 0.5×	107 2.0×	54 1.1×	42	444
Ágota Deák	72 0.3×	168 1.3×	88 1.2×	106 2.0×	120 2.4×	43	518
Rahim Bahri Najafi	127 0.5×	91 0.7×	93 1.3×	55 1.0×	35 0.7×	24	410
Sunita Rattan	80 0.3×	90 0.7×	39 0.5×	147 2.8×	111 2.2×	54	516
Safaa Khalil	54 0.2×	122 1.0×	99 1.4×	136 2.6×	117 2.3×	28	511
Alba Córdoba	45 0.2×	89 0.7×	45 0.6×	201 3.8×	89 1.7×	23	524
Wen Zhang	87 0.4×	87 0.7×	27 0.4×	65 1.2×	102 2.0×	47	459
Katarzyna Niemirowicz-Laskowska	70 0.3×	89 0.7×	19 0.3×	113 2.1×	113 2.2×	35	521
Jun Dong	254 1.0×	54 0.4×	15 0.2×	74 1.4×	12 0.2×	52	542
Mingchun Li	211 0.9×	94 0.7×	70 1.0×	77 1.5×	300 5.9×	28	526

Countries citing papers authored by V. Tamara Perchyonok

Since Specialization

Citations

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

Fields of papers citing papers by V. Tamara Perchyonok

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Tamara Perchyonok

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