I. N. Topchieva

74 total papers · 782 total citations
56 papers, 691 citations indexed

About

I. N. Topchieva is a scholar working on Organic Chemistry, Spectroscopy and Molecular Biology. According to data from OpenAlex, I. N. Topchieva has authored 56 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Organic Chemistry, 19 papers in Spectroscopy and 13 papers in Molecular Biology. Recurrent topics in I. N. Topchieva's work include Analytical Chemistry and Chromatography (16 papers), Drug Solubulity and Delivery Systems (8 papers) and Advanced Polymer Synthesis and Characterization (7 papers). I. N. Topchieva is often cited by papers focused on Analytical Chemistry and Chromatography (16 papers), Drug Solubulity and Delivery Systems (8 papers) and Advanced Polymer Synthesis and Characterization (7 papers). I. N. Topchieva collaborates with scholars based in Russia, Tajikistan and Germany. I. N. Topchieva's co-authors include И. Г. Панова, V.I. Gerasimov, Olga E. Philippova, С.И. Кучанов, V.A. Kabanov, Alan E. Tonelli, Cristian C. Rusa, Mariana Rusa, Marcus A. Hunt and V.P. Zubov and has published in prestigious journals such as Macromolecules, Langmuir and Journal of Colloid and Interface Science.

In The Last Decade

I. N. Topchieva

53 papers receiving 683 citations

Author Peers

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

Author Last Decade Papers Cites
I. N. Topchieva 348 172 163 162 124 56 691
Dan Lundberg 319 0.9× 108 0.6× 214 1.3× 176 1.1× 119 1.0× 40 744
Tomasz Girek 235 0.7× 140 0.8× 113 0.7× 81 0.5× 91 0.7× 49 654
Vinod K. Aswal 444 1.3× 129 0.8× 108 0.7× 131 0.8× 98 0.8× 37 790
Bhavesh Bharatiya 501 1.4× 153 0.9× 103 0.6× 81 0.5× 72 0.6× 40 761
Carla Gasbarri 290 0.8× 202 1.2× 157 1.0× 79 0.5× 102 0.8× 44 661
Jiřı́ Horský 242 0.7× 110 0.6× 102 0.6× 118 0.7× 143 1.2× 53 737
S. A. Ziganshina 190 0.5× 165 1.0× 161 1.0× 169 1.0× 56 0.5× 59 558
V.A. Kabanov 350 1.0× 97 0.6× 141 0.9× 208 1.3× 100 0.8× 45 680
Serena De Santis 184 0.5× 136 0.8× 107 0.7× 139 0.9× 121 1.0× 51 722
Leana Travaglini 290 0.8× 240 1.4× 170 1.0× 298 1.8× 88 0.7× 24 637

Countries citing papers authored by I. N. Topchieva

Since Specialization
Citations

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

Fields of papers citing papers by I. N. Topchieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. N. Topchieva. 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 I. N. Topchieva. The network helps show where I. N. Topchieva may publish in the future.

Co-authorship network of co-authors of I. N. Topchieva

This figure shows the co-authorship network connecting the top 25 collaborators of I. N. Topchieva. A scholar is included among the top collaborators of I. N. Topchieva 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 I. N. Topchieva. I. N. Topchieva 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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