Nina Karaseva

43 total papers · 8.5k total citations
20 papers, 1.3k citations indexed

About

Nina Karaseva is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Nina Karaseva has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 15 papers in Pulmonary and Respiratory Medicine and 7 papers in Molecular Biology. Recurrent topics in Nina Karaseva's work include Lung Cancer Treatments and Mutations (12 papers), Lung Cancer Research Studies (7 papers) and Colorectal Cancer Treatments and Studies (5 papers). Nina Karaseva is often cited by papers focused on Lung Cancer Treatments and Mutations (12 papers), Lung Cancer Research Studies (7 papers) and Colorectal Cancer Treatments and Studies (5 papers). Nina Karaseva collaborates with scholars based in Russia, United States and South Korea. Nina Karaseva's co-authors include Mark A. Socinski, Vera Hirsh, Jeremy K. Hon, Igor Bondarenko, Paul Bhar, Ihor Vynnychenko, J. L. Mesías Iglesias, Markus F. Renschler, Hui Zhang and Isamu Okamoto and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Oncology.

In The Last Decade

Nina Karaseva

19 papers receiving 1.3k citations

Hit Papers

Weekly nab-Paclitaxel in ... 2012 2026 2016 2021 2012 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Nina Karaseva 943 755 336 210 156 20 1.3k
F. Shepherd 964 1.0× 971 1.3× 313 0.9× 268 1.3× 167 1.1× 48 1.7k
Jinee Rizzo 1.2k 1.3× 647 0.9× 654 1.9× 61 0.3× 176 1.1× 26 1.8k
A. Y. Chang 726 0.8× 494 0.7× 231 0.7× 106 0.5× 76 0.5× 40 1.3k
Rosario García‐Campelo 798 0.8× 806 1.1× 462 1.4× 55 0.3× 272 1.7× 47 1.4k
Jan Cosaert 1.0k 1.1× 639 0.8× 437 1.3× 124 0.6× 333 2.1× 43 1.5k
B. Mirtsching 1.1k 1.2× 460 0.6× 182 0.5× 136 0.6× 288 1.8× 27 1.3k
J Prendiville 742 0.8× 239 0.3× 373 1.1× 114 0.5× 215 1.4× 40 1.3k
C.J.A. van Moorsel 646 0.7× 334 0.4× 445 1.3× 70 0.3× 141 0.9× 16 1.1k
Chong‐Xian Pan 420 0.4× 473 0.6× 463 1.4× 182 0.9× 236 1.5× 37 1.3k
Sylvie Assadourian 910 1.0× 587 0.8× 343 1.0× 43 0.2× 226 1.4× 33 1.3k

Countries citing papers authored by Nina Karaseva

Since Specialization
Citations

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

Fields of papers citing papers by Nina Karaseva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina Karaseva. 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 Nina Karaseva. The network helps show where Nina Karaseva may publish in the future.

Co-authorship network of co-authors of Nina Karaseva

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Karaseva. A scholar is included among the top collaborators of Nina Karaseva 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 Nina Karaseva. Nina Karaseva 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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