Yu. M. Romanova

52 total papers · 443 total citations
35 papers, 316 citations indexed

About

Yu. M. Romanova is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Yu. M. Romanova has authored 35 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Pulmonary and Respiratory Medicine and 17 papers in Biomedical Engineering. Recurrent topics in Yu. M. Romanova's work include Photodynamic Therapy Research Studies (14 papers), Nanoplatforms for cancer theranostics (13 papers) and Bacterial biofilms and quorum sensing (13 papers). Yu. M. Romanova is often cited by papers focused on Photodynamic Therapy Research Studies (14 papers), Nanoplatforms for cancer theranostics (13 papers) and Bacterial biofilms and quorum sensing (13 papers). Yu. M. Romanova collaborates with scholars based in Russia, United Kingdom and Tajikistan. Yu. M. Romanova's co-authors include Т. А. Смирнова, R. R. Azizbekyan, Gintsburg Al, Э. Р. Толордава, Е. А. Макарова, Г. А. Меерович, E. A. LUK'YANETS, С. А. Гончуков, Nikita Smirnov and А. А. Ионин and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advances in experimental medicine and biology and Microbiological Research.

In The Last Decade

Yu. M. Romanova

34 papers receiving 289 citations

Author Peers

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

Author Last Decade Papers Cites
Yu. M. Romanova 142 104 79 67 40 35 316
David Wiseman 143 1.0× 41 0.4× 33 0.4× 23 0.3× 32 0.8× 23 351
Huijuan Cheng 119 0.8× 72 0.7× 38 0.5× 36 0.5× 7 0.2× 30 323
Lívia Mara Alves Figueiredo-Godoi 63 0.4× 77 0.7× 86 1.1× 40 0.6× 6 0.1× 16 346
Yu-Ming Cai 182 1.3× 36 0.3× 26 0.3× 14 0.2× 37 0.9× 13 294
Xuan Chen 140 1.0× 86 0.8× 20 0.3× 40 0.6× 7 0.2× 23 346
Sorujsiri Chareonsudjai 124 0.9× 50 0.5× 9 0.1× 23 0.3× 30 0.8× 35 365
Bram Lories 177 1.2× 43 0.4× 11 0.1× 23 0.3× 58 1.4× 21 342
Hong Gao 137 1.0× 38 0.4× 32 0.4× 44 0.7× 21 0.5× 34 351
Sylwia Chmielewska 106 0.7× 63 0.6× 16 0.2× 102 1.5× 24 0.6× 19 310
Hye‐Jeong Jang 155 1.1× 64 0.6× 9 0.1× 51 0.8× 84 2.1× 20 363

Countries citing papers authored by Yu. M. Romanova

Since Specialization
Citations

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

Fields of papers citing papers by Yu. M. Romanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. M. Romanova. 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 Yu. M. Romanova. The network helps show where Yu. M. Romanova may publish in the future.

Co-authorship network of co-authors of Yu. M. Romanova

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. M. Romanova. A scholar is included among the top collaborators of Yu. M. Romanova 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 Yu. M. Romanova. Yu. M. Romanova 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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