Klarisa Rikova

3.7k total citations
9 papers, 824 citations indexed

About

Klarisa Rikova is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Klarisa Rikova has authored 9 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Klarisa Rikova's work include Bioinformatics and Genomic Networks (3 papers), RNA modifications and cancer (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Klarisa Rikova is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), RNA modifications and cancer (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Klarisa Rikova collaborates with scholars based in United States, Switzerland and Italy. Klarisa Rikova's co-authors include Kimberly A. Lee, Matthew P. Stokes, Michael J. Comb, Anthony Possemato, Judit Villén, Yi Wang, Mark L. Grimes, Jeffrey T. Mitchell, Julie Nardone and Roberto D. Polakiewicz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Cell.

In The Last Decade

Klarisa Rikova

8 papers receiving 808 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Klarisa Rikova United States 6 572 225 201 89 83 9 824
Fumi Kinose United States 17 595 1.0× 265 1.2× 157 0.8× 54 0.6× 146 1.8× 26 857
D. Gandara United States 11 478 0.8× 377 1.7× 203 1.0× 22 0.2× 83 1.0× 26 837
Narmada Shenoy United States 11 532 0.9× 240 1.1× 299 1.5× 38 0.4× 145 1.7× 17 990
Yixuan Yang China 20 598 1.0× 253 1.1× 85 0.4× 69 0.8× 289 3.5× 64 1.0k
Yiyu Dong United States 16 731 1.3× 328 1.5× 220 1.1× 17 0.2× 203 2.4× 26 1.2k
Margaux Fresnais Germany 13 304 0.5× 137 0.6× 80 0.4× 141 1.6× 63 0.8× 26 597
Wen‐Ming Cao China 18 522 0.9× 235 1.0× 126 0.6× 31 0.3× 263 3.2× 75 1.0k
Isett Laux United States 11 331 0.6× 225 1.0× 137 0.7× 22 0.2× 127 1.5× 14 715
Xiaojuan Du China 22 1.2k 2.2× 293 1.3× 125 0.6× 77 0.9× 412 5.0× 62 1.6k
Anil Korkut United States 14 704 1.2× 368 1.6× 176 0.9× 30 0.3× 302 3.6× 28 1.1k

Countries citing papers authored by Klarisa Rikova

Since Specialization
Citations

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

Fields of papers citing papers by Klarisa Rikova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klarisa Rikova

This figure shows the co-authorship network connecting the top 25 collaborators of Klarisa Rikova. A scholar is included among the top collaborators of Klarisa Rikova 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 Klarisa Rikova. Klarisa Rikova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Grimes, Mark L., Tyler Levy, Klarisa Rikova, et al.. (2018). Integration of protein phosphorylation, acetylation, and methylation data sets to outline lung cancer signaling networks. Science Signaling. 11(531). 219–230. 43 indexed citations
2.
Fernandez, Nicolas, Gregory W. Gundersen, Adeeb Rahman, et al.. (2017). Clustergrammer, a web-based heatmap visualization and analysis tool for high-dimensional biological data. Scientific Data. 4(1). 170151–170151. 154 indexed citations
3.
Rikova, Klarisa, Ben A. Hall, Tyler Levy, et al.. (2016). Abstract LB-067: Proteomic analysis identifies multi-dimensional deregulated signaling pathways in SCLC lung cancer. Cancer Research. 76(14_Supplement). LB–67.
4.
Gu, Hongbo, Jian Ren, Xiaoying Jia, et al.. (2015). Quantitative Profiling of Post-translational Modifications by Immunoaffinity Enrichment and LC-MS/MS in Cancer Serum without Immunodepletion. Molecular & Cellular Proteomics. 15(2). 692–702. 42 indexed citations
5.
Costa, Carlotta, Hiromichi Ebi, Miriam Martini, et al.. (2014). Measurement of PIP3 Levels Reveals an Unexpected Role for p110β in Early Adaptive Responses to p110α-Specific Inhibitors in Luminal Breast Cancer. Cancer Cell. 27(1). 97–108. 142 indexed citations
6.
Rikova, Klarisa, Tyler Levy, Anthony Possemato, et al.. (2013). Abstract B197: Proteomic based analysis of ovarian cancer pathways.. Molecular Cancer Therapeutics. 12(11_Supplement). B197–B197. 1 indexed citations
7.
Cai, Tianxi, et al.. (2009). A Predictive Phosphorylation Signature of Lung Cancer. PLoS ONE. 4(11). e7994–e7994. 14 indexed citations
8.
Carretero, Julián, Takeshi Shimamura, Klarisa Rikova, et al.. (2009). Abstract B103: Integrative genomic and proteomic analyses identify novel targets for Lkb1 deficient metastatic lung tumors. Molecular Cancer Therapeutics. 8(12_Supplement). B103–B103. 4 indexed citations
9.
Guo, Ailan, Judit Villén, Jon M. Kornhauser, et al.. (2008). Signaling networks assembled by oncogenic EGFR and c-Met. Proceedings of the National Academy of Sciences. 105(2). 692–697. 424 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Fumi Kinose Breakdown of academic impact, for papers by D. Gandara Breakdown of academic impact, for papers by Narmada Shenoy Breakdown of academic impact, for papers by Yixuan Yang Breakdown of academic impact, for papers by Yiyu Dong Breakdown of academic impact, for papers by Margaux Fresnais Breakdown of academic impact, for papers by Wen‐Ming Cao Breakdown of academic impact, for papers by Isett Laux Breakdown of academic impact, for papers by Xiaojuan Du Breakdown of academic impact, for papers by Anil Korkut
Rankless by CCL
2026