Olga Botvinnik

4.9k total citations · 1 hit paper
10 papers, 1.4k citations indexed

About

Olga Botvinnik is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Olga Botvinnik has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Hematology and 1 paper in Genetics. Recurrent topics in Olga Botvinnik's work include Genomics and Phylogenetic Studies (3 papers), Acute Myeloid Leukemia Research (2 papers) and RNA Research and Splicing (2 papers). Olga Botvinnik is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Acute Myeloid Leukemia Research (2 papers) and RNA Research and Splicing (2 papers). Olga Botvinnik collaborates with scholars based in United States, South Korea and Australia. Olga Botvinnik's co-authors include Chris Mungall, Christophe Dessimoz, Aurélien Naldi, Brent S. Pedersen, Will Dampier, Jeffrey M. Yunes, Fidel Ramírez, Patrick Flick, Liangsheng Zhang and Alex Warwick Vesztrocy and has published in prestigious journals such as Cell, Nature Communications and Blood.

In The Last Decade

Olga Botvinnik

10 papers receiving 1.4k 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.

GOATOOLS: A Python library for Gene Ontology analyses

2018 724 citations Liangsheng Zhang, Brent S. Pedersen et al. Scientific Reports profile →

Peers

Olga Botvinnik

MB

PS

GENET

CR

IMMUN

Brad Marshall United States

Daniel Barrell United Kingdom

Greg Von Kuster Germany

Joaquín Tárraga Spain

Rasmus Wernersson Denmark

Andrew Wu United Kingdom

Toshinori Endo Japan

Arnaud Kerhornou United Kingdom

Alex Warwick Vesztrocy Switzerland

Emily Dimmer United Kingdom

Brad Marshall United States

Olga Botvinnik

954 ×0.9

MB

212 ×0.8

PS

209 ×1.1

GENET

146 ×1.4

CR

119 ×1.3

IMMUN

Citations per year, relative to Olga Botvinnik Olga Botvinnik (= 1×) peers Brad Marshall

Countries citing papers authored by Olga Botvinnik

Since Specialization

Citations

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

Fields of papers citing papers by Olga Botvinnik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Botvinnik

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

All Works

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10 of 10 papers shown

1.

Kang, Jengmin, Jean Farup, Andoni Urtasun, et al.. (2025). In vivo self-renewal and expansion of quiescent stem cells from a non-human primate. Nature Communications. 16(1). 5370–5370. 1 indexed citations

2.

Zhang, Liangsheng, Brent S. Pedersen, Fidel Ramírez, et al.. (2018). GOATOOLS: A Python library for Gene Ontology analyses. Scientific Reports. 8(1). 10872–10872. 724 indexed citations breakdown →

3.

Song, Yan, Olga Botvinnik, Michael Lovci, et al.. (2017). Single-Cell Alternative Splicing Analysis with Expedition Reveals Splicing Dynamics during Neuron Differentiation. Molecular Cell. 67(1). 148–161.e5. 121 indexed citations

4.

Nutter, Curtis A., Elizabeth Jaworski, Sunil K. Verma, et al.. (2016). Dysregulation of RBFOX2 Is an Early Event in Cardiac Pathogenesis of Diabetes. Cell Reports. 15(10). 2200–2213. 64 indexed citations

5.

Botvinnik, Olga, et al.. (2014). gscripts: release 0.1. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

6.

Galili, Naomi, Pablo Tamayo, Olga Botvinnik, et al.. (2012). Prediction of response to therapy with ezatiostat in lower risk myelodysplastic syndrome. Journal of Hematology & Oncology. 5(1). 20–20. 18 indexed citations

7.

Goncearenco, Alexander, Priscila Grynberg, Olga Botvinnik, Geoff Macintyre, & Thomas Abeel. (2012). Highlights from the Eighth International Society for Computational Biology (ISCB) Student Council Symposium 2012. BMC Bioinformatics. 13(S18). 6 indexed citations

8.

Wood, Kris C., David J. Konieczkowski, Cory M. Johannessen, et al.. (2012). MicroSCALE Screening Reveals Genetic Modifiers of Therapeutic Response in Melanoma. Science Signaling. 5(224). rs4–rs4. 7 indexed citations

9.

Galili, Naomi, Pablo Tamayo, Olga Botvinnik, et al.. (2011). Gene Expression Studies May Identify Lower Risk Myelodysplastic Syndrome Patients Likely to Respond to Therapy with Ezatiostat Hydrochloride (TLK199). Blood. 118(21). 2779–2779. 1 indexed citations

10.

Berger, Michael F., Gwenaël Badis, Andrew R. Gehrke, et al.. (2008). Variation in Homeodomain DNA Binding Revealed by High-Resolution Analysis of Sequence Preferences. Cell. 133(7). 1266–1276. 487 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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