Е. В. Коновалова

136 total papers · 902 total citations
78 papers, 644 citations indexed

About

Е. В. Коновалова is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Е. В. Коновалова has authored 78 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 24 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Oncology. Recurrent topics in Е. В. Коновалова's work include Monoclonal and Polyclonal Antibodies Research (21 papers), Radiopharmaceutical Chemistry and Applications (12 papers) and HER2/EGFR in Cancer Research (11 papers). Е. В. Коновалова is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (21 papers), Radiopharmaceutical Chemistry and Applications (12 papers) and HER2/EGFR in Cancer Research (11 papers). Е. В. Коновалова collaborates with scholars based in Russia, Sweden and South Korea. Е. В. Коновалова's co-authors include Sergey M. Deyev, Alexey Schulga, A. Yu. Rubina, Vladimir Tolmachev, S. V. Pan’kov, Anzhelika Vorobyeva, Anna Orlova, Ekaterina Dementieva, Javad Garousi and Ekaterina Darii and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Е. В. Коновалова

65 papers receiving 628 citations

Author Peers

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

Author Last Decade Papers Cites
Е. В. Коновалова 310 269 168 119 49 78 644
Danny M. van Willigen 178 0.6× 251 0.9× 228 1.4× 120 1.0× 40 0.8× 29 700
Е. С. Корнилова 314 1.0× 134 0.5× 94 0.6× 152 1.3× 65 1.3× 69 703
Е. Н. Лебеденко 463 1.5× 285 1.1× 178 1.1× 75 0.6× 144 2.9× 29 749
Yesen Li 301 1.0× 222 0.8× 211 1.3× 166 1.4× 90 1.8× 45 742
Maruti Uppalapati 417 1.3× 104 0.4× 94 0.6× 82 0.7× 53 1.1× 38 716
Fernanda I. Staquicini 463 1.5× 177 0.7× 129 0.8× 176 1.5× 45 0.9× 21 788
Tatiana A. Slastnikova 398 1.3× 223 0.8× 68 0.4× 102 0.9× 18 0.4× 30 623
Zhengyuan Zhou 205 0.7× 309 1.1× 139 0.8× 207 1.7× 30 0.6× 38 638
Oleg A. Stremovskiy 428 1.4× 225 0.8× 270 1.6× 69 0.6× 147 3.0× 33 778
Aaron M. LeBeau 314 1.0× 116 0.4× 67 0.4× 293 2.5× 19 0.4× 28 682

Countries citing papers authored by Е. В. Коновалова

Since Specialization
Citations

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

Fields of papers citing papers by Е. В. Коновалова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е. В. Коновалова. 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 Е. В. Коновалова. The network helps show where Е. В. Коновалова may publish in the future.

Co-authorship network of co-authors of Е. В. Коновалова

This figure shows the co-authorship network connecting the top 25 collaborators of Е. В. Коновалова. A scholar is included among the top collaborators of Е. В. Коновалова 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 Е. В. Коновалова. Е. В. Коновалова 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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