Aleksandra Markovets

2.6k total citations · 2 hit papers
6 papers, 1.7k citations indexed

About

Aleksandra Markovets is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Aleksandra Markovets has authored 6 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Aleksandra Markovets's work include Cancer Genomics and Diagnostics (5 papers), RNA modifications and cancer (2 papers) and Acute Myeloid Leukemia Research (1 paper). Aleksandra Markovets is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), RNA modifications and cancer (2 papers) and Acute Myeloid Leukemia Research (1 paper). Aleksandra Markovets collaborates with scholars based in United States, United Kingdom and Spain. Aleksandra Markovets's co-authors include Brian Dougherty, J. Carl Barrett, Zhongwu Lai, Byoung Chul Cho, Ana Vivancos, Yanan Kuang, Mireille Cantarini, Daniel Stetson, Pasi A. Jänne and Enriqueta Felip and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and Cancer Research.

In The Last Decade

Aleksandra Markovets

6 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Acquired EGFR C797S mutation mediates resistance to AZD9291 in non–small cell lung cancer harboring EGFR T790M

2015 1.2k citations Kenneth S. Thress, Cloud P. Paweletz et al. Nature Medicine profile →
VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research

2016 497 citations Zhongwu Lai, Aleksandra Markovets et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aleksandra Markovets United States	3	999	869	825	652	198	6	1.7k
Daniel Stetson United States	11	1.4k 1.4×	1.0k 1.2×	1.1k 1.4×	724 1.1×	198 1.0×	27	2.2k
Nadia Godin-Heymann United States	9	1.1k 1.1×	957 1.1×	1.1k 1.3×	351 0.5×	128 0.6×	10	1.8k
C. Martin Curtis United States	15	624 0.6×	952 1.1×	865 1.0×	280 0.4×	262 1.3×	18	1.6k
Wassim Abida United States	21	945 0.9×	1.0k 1.2×	785 1.0×	583 0.9×	98 0.5×	93	1.9k
Luc Friboulet France	22	1.6k 1.6×	1.3k 1.4×	1.5k 1.9×	625 1.0×	272 1.4×	57	2.6k
Ana Giménez‐Capitán Spain	22	879 0.9×	954 1.1×	930 1.1×	592 0.9×	167 0.8×	77	1.9k
Shigeki Nanjo Japan	22	1.0k 1.0×	713 0.8×	824 1.0×	317 0.5×	158 0.8×	54	1.6k
Jens Quant Austria	9	562 0.6×	1.1k 1.3×	732 0.9×	186 0.3×	176 0.9×	15	2.0k
Carlota Costa Spain	19	747 0.7×	785 0.9×	768 0.9×	399 0.6×	175 0.9×	41	1.6k
Maria E. Arango United States	15	695 0.7×	1.2k 1.4×	1.1k 1.3×	211 0.3×	249 1.3×	20	2.1k

Countries citing papers authored by Aleksandra Markovets

Since Specialization

Citations

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

Fields of papers citing papers by Aleksandra Markovets

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Markovets

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Arango-Argoty, Gustavo, Marzieh Haghighi, Gerald J. Sun, et al.. (2025). An artificial intelligence-based model for prediction of clonal hematopoiesis variants in cell-free DNA samples. npj Precision Oncology. 9(1). 147–147. 1 indexed citations

2.

Munugalavadla, Veerendra, Aleksandra Markovets, Qin‐Wen Liu, et al.. (2023). Abstract 3369: Utility of ctDNA-based targeted methylation MRD assay for hematological malignancies. Cancer Research. 83(7_Supplement). 3369–3369. 2 indexed citations

3.

Stetson, Daniel, Brian Dougherty, Ambar Ahmed, et al.. (2017). Abstract LB-249: Examination of analytical factors impacting concordance of plasma-tumor testing by next-generation sequencing (NGS). Cancer Research. 77(13_Supplement). LB–249. 2 indexed citations

4.

Lai, Zhongwu, Aleksandra Markovets, Miika Ahdesmäki, et al.. (2016). VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research. Nucleic Acids Research. 44(11). e108–e108. 497 indexed citations breakdown →

5.

Thress, Kenneth S., Cloud P. Paweletz, Enriqueta Felip, et al.. (2015). Acquired EGFR C797S mutation mediates resistance to AZD9291 in non–small cell lung cancer harboring EGFR T790M. Nature Medicine. 21(6). 560–562. 1189 indexed citations breakdown →

6.

Markovets, Aleksandra, et al.. (2010). Promoter prediction in E. coli based on SIDD profiles and Artificial Neural Networks. BMC Bioinformatics. 11(S6). S17–S17. 13 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.

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