Iva Klevernic

17 total papers · 3.3k total citations
10 papers, 2.7k citations indexed

About

Iva Klevernic is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Iva Klevernic has authored 10 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Iva Klevernic's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Cancer-related Molecular Pathways (2 papers) and RNA modifications and cancer (2 papers). Iva Klevernic is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Cancer-related Molecular Pathways (2 papers) and RNA modifications and cancer (2 papers). Iva Klevernic collaborates with scholars based in United Kingdom, Belgium and Germany. Iva Klevernic's co-authors include Philip Cohen, C. James Hastie, J. Simon C. Arthur, Natalia Shpiro, Dario R. Alessi, Hilary McLauchlan, Matt Elliott, Jenny Bain, Hélder Cruz and Arın Doğan and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Iva Klevernic

10 papers receiving 2.7k citations

Hit Papers

The selectivity of protei... 2007 2026 2013 2019 2007 2022 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Iva Klevernic 2.0k 454 336 299 292 10 2.7k
Alida M.M. de Vries-Smits 2.6k 1.3× 525 1.2× 292 0.9× 275 0.9× 270 0.9× 12 3.1k
Roy Katso 1.9k 0.9× 411 0.9× 465 1.4× 376 1.3× 207 0.7× 15 2.6k
K. Y. Hui 2.1k 1.0× 463 1.0× 376 1.1× 457 1.5× 275 0.9× 15 3.0k
Khatereh Ahmadi 1.8k 0.9× 358 0.8× 424 1.3× 407 1.4× 192 0.7× 14 2.6k
Yair N. Doza 1.9k 0.9× 493 1.1× 305 0.9× 478 1.6× 343 1.2× 10 2.7k
Marie Cargnello 2.4k 1.2× 424 0.9× 388 1.2× 475 1.6× 457 1.6× 14 3.7k
Virginie Mieulet 1.9k 1.0× 421 0.9× 325 1.0× 316 1.1× 504 1.7× 17 2.6k
Timothy C. Grammer 1.7k 0.8× 527 1.2× 291 0.9× 345 1.2× 211 0.7× 20 2.4k
David Shahbazian 2.1k 1.0× 560 1.2× 357 1.1× 421 1.4× 291 1.0× 17 2.8k
Xiaoju Max 2.3k 1.1× 267 0.6× 350 1.0× 281 0.9× 276 0.9× 8 2.9k

Countries citing papers authored by Iva Klevernic

Since Specialization
Citations

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

Fields of papers citing papers by Iva Klevernic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iva Klevernic

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