Larisa Y. Romanova

14 total papers · 785 total citations
13 papers, 681 citations indexed

About

Larisa Y. Romanova is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Larisa Y. Romanova has authored 13 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Immunology and Allergy. Recurrent topics in Larisa Y. Romanova's work include Cancer-related Molecular Pathways (6 papers), Cell Adhesion Molecules Research (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Larisa Y. Romanova is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Cell Adhesion Molecules Research (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Larisa Y. Romanova collaborates with scholars based in United States, Belgium and Japan. Larisa Y. Romanova's co-authors include Mikhail V. Blagosklonny, Tito Fojo, Won Gun An, Jane B. Trepel, Len Neckers, J. Frederic Mushinski, Susan E. Bates, Henning Willers, Simon N. Powell and Ivan A. Alexandrov and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.

In The Last Decade

Larisa Y. Romanova

13 papers receiving 669 citations

Author Peers

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

Author						Papers	Cites
Larisa Y. Romanova	481	295	229	64	61	13	681
Leonor Wenger	432 0.9×	235 0.8×	151 0.7×	61 1.0×	26 0.4×	15	714
Suzete de Silva Rudland	533 1.1×	224 0.8×	181 0.8×	75 1.2×	53 0.9×	9	747
Vicki L. Hopwood	405 0.8×	228 0.8×	162 0.7×	118 1.8×	20 0.3×	17	739
Leland W. K. Chung	454 0.9×	184 0.6×	265 1.2×	91 1.4×	28 0.5×	9	728
Ta-Jen Liu	566 1.2×	231 0.8×	143 0.6×	82 1.3×	39 0.6×	16	785
Cynthia R. Coffill	465 1.0×	372 1.3×	156 0.7×	36 0.6×	67 1.1×	13	713
K Sudo	406 0.8×	227 0.8×	192 0.8×	32 0.5×	22 0.4×	19	574
Vijay Alla	536 1.1×	340 1.2×	233 1.0×	46 0.7×	56 0.9×	18	756
Heidi Y. Shi	371 0.8×	192 0.7×	289 1.3×	95 1.5×	45 0.7×	19	685
Murielle Glondu	397 0.8×	174 0.6×	304 1.3×	81 1.3×	19 0.3×	8	705

Countries citing papers authored by Larisa Y. Romanova

Since Specialization

Citations

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

Fields of papers citing papers by Larisa Y. Romanova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Larisa Y. Romanova

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