Iva Klevernic

3.3k citations
10 papers · 2.7k indexed · 2 hit papers · h-index 10
Topics
RNA modifications and cancer (2 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)Cancer-related Molecular Pathways (2 papers)

In The Last Decade

Iva Klevernic

10 papers receiving 2.7k citations

Hit Papers

The selectivity of protein kinase inhibitors: a further u...20072026201320192007202250010001.5k2.0k

Peers

Iva Klevernic
Comparison fields: 5 of 109
  • Molecular Biology 2.0k
  • Oncology 454
  • Cell Biology 336
  • Immunology 299
  • Cancer Research 292
Replace Shuichan Xu with:
Shuichan Xu United States
Davide Gianni United States
Shinji Kamada Japan
Hiroko Iwanari Japan
Þorkell Andrésson United States
Claire R. Weston United States
Richard Jäger Germany
Gabriella Minchiotti Italy
Ian de Belle United States
Gareth J. Browne United Kingdom
Iva Klevernic relative to Shuichan Xu United States Shuichan Xu's profile →
Citations per field
00.5×1.5×2.5×
Shuichan Xu · 1×
Citations per year

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

10 of 10 papers shown
#WorkIndexed citations
1
A serum-free media formulation for cultured meat production supports bovine satellite cell differentiation in the absence of serum starvationbreakdown →
147
2 19
3 131
4 63
5 66
6 99
7 31
8 25
9
The selectivity of protein kinase inhibitors: a further updatebreakdown →
2112
10 51

About Iva Klevernic

Iva Klevernic is a scholar working on Aging, Cell Biology and Oncology, having authored 10 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Cell Biology (336 citations) and Cancer Research (292 citations). Iva Klevernic has collaborated with scholars based in United Kingdom, Belgium and Germany. Frequent co-authors include Philip Cohen, Jenny Bain, C. James Hastie, J. Simon C. Arthur, Natalia Shpiro, Hilary McLauchlan, Dario R. Alessi, Matt Elliott, Alain Chariot and Kateryna Shostak. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and The Journal of Immunology.

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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