Nickolay V. Kukekov

11 total papers · 424 total citations
7 papers, 357 citations indexed

About

Nickolay V. Kukekov is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nickolay V. Kukekov has authored 7 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nickolay V. Kukekov's work include Melanoma and MAPK Pathways (4 papers), Nuclear Receptors and Signaling (2 papers) and Cancer Cells and Metastasis (2 papers). Nickolay V. Kukekov is often cited by papers focused on Melanoma and MAPK Pathways (4 papers), Nuclear Receptors and Signaling (2 papers) and Cancer Cells and Metastasis (2 papers). Nickolay V. Kukekov collaborates with scholars based in United States and China. Nickolay V. Kukekov's co-authors include Lloyd A. Greene, Zhiheng Xu, Paweł Dobrzański, Anna C. Maroney, Michael Wilhelm, Margaret E. Maes, Andrew A. Sproul, Katherine Biagas, Travis L. Schmit and Oleg Suslov and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and International Journal of Molecular Sciences.

In The Last Decade

Nickolay V. Kukekov

7 papers receiving 350 citations

Author Peers

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

Author Last Decade Papers Cites
Nickolay V. Kukekov 258 76 60 47 44 7 357
Robert O. Sayers 273 1.1× 80 1.1× 50 0.8× 40 0.9× 31 0.7× 5 386
Valentina Fodale 261 1.0× 95 1.3× 30 0.5× 72 1.5× 43 1.0× 13 374
Anna Perfetti 294 1.1× 34 0.4× 51 0.8× 41 0.9× 22 0.5× 9 396
Jean Y. Gouzi 168 0.7× 83 1.1× 64 1.1× 67 1.4× 154 3.5× 7 343
Sachiko Osuga 210 0.8× 105 1.4× 56 0.9× 122 2.6× 39 0.9× 7 385
Elena Agostoni 251 1.0× 150 2.0× 119 2.0× 51 1.1× 45 1.0× 11 369
Philip Rubin 343 1.3× 97 1.3× 60 1.0× 43 0.9× 17 0.4× 11 399
Alejandra Catenaccio 208 0.8× 139 1.8× 61 1.0× 26 0.6× 56 1.3× 12 393
Inga Hansson 139 0.5× 80 1.1× 82 1.4× 21 0.4× 68 1.5× 8 321
Meifan Chen 203 0.8× 77 1.0× 68 1.1× 50 1.1× 18 0.4× 14 320

Countries citing papers authored by Nickolay V. Kukekov

Since Specialization
Citations

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

Fields of papers citing papers by Nickolay V. Kukekov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nickolay V. Kukekov

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