Olga Nikolova

959 total citations
18 papers, 390 citations indexed

About

Olga Nikolova is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Olga Nikolova has authored 18 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Cancer Research. Recurrent topics in Olga Nikolova's work include Bayesian Modeling and Causal Inference (5 papers), Bioinformatics and Genomic Networks (4 papers) and Cancer Genomics and Diagnostics (4 papers). Olga Nikolova is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), Bioinformatics and Genomic Networks (4 papers) and Cancer Genomics and Diagnostics (4 papers). Olga Nikolova collaborates with scholars based in United States, India and South Africa. Olga Nikolova's co-authors include Brent Buckner, Jon Beck, Jeffrey Tyner, Shannon K. McWeeney, Srinivas Aluru, Stephen E. Kurtz, Angelo D’Alessandro, Bill H. Chang, Courtney L. Jones and Cristina E. Tognon and has published in prestigious journals such as Bioinformatics, Cancer Research and Oncogene.

In The Last Decade

Olga Nikolova

18 papers receiving 387 citations

Peers

Countries citing papers authored by Olga Nikolova

Since Specialization

Citations

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

Fields of papers citing papers by Olga Nikolova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Nikolova

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Predicting transcription factor activity using prior biological information 2024 ·iScience ·(unknown), Joseph Estabrook, (unknown), Julia Somers, Olga Nikolova, Özgün Babur, Theodore P. Braun, Emek Demir	1
2	A framework for considering prior information in network‐based approaches to omics data analysis 2023 ·PROTEOMICS ·Julia Somers, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Olga Nikolova, Özgün Babur, Emek Demir	1
3	Pharmacologic Targeting of TFIIH Suppresses KRAS-Mutant Pancreatic Ductal Adenocarcinoma and Synergizes with TRAIL 2022 ·Cancer Research ·Russell Moser, James Annis, Olga Nikolova, (unknown), Kay E. Gurley, Eduardo Méndez, Kim Moran‐Jones, Craig Dorrell, Rosalie C. Sears, Calvin J. Kuo, Haiyong Han, Andrew V. Biankin, Carla Grandori, Daniel D. Von Hoff, Christopher J. Kemp	4
4	Associating drug sensitivity with differentiation status identifies effective combinations for acute myeloid leukemia 2022 ·Blood Advances ·Stephen E. Kurtz, Christopher A. Eide, Andy Kaempf, Nicola Long, Daniel Bottomly, Olga Nikolova, Brian Druker, Shannon K. McWeeney, Bill H. Chang, Jeffrey Tyner, Anupriya Agarwal	6
5	Synthetic lethal kinases in Ras/p53 mutant squamous cell carcinoma 2022 ·Oncogene ·Russell Moser, Kay E. Gurley, Olga Nikolova, Guangrong Qin, (unknown), Eduardo Méndez, Ilya Shmulevich, Amanda K. Ashley, Carla Grandori, Christopher J. Kemp	4
6	The TP53 Apoptotic Network Is a Primary Mediator of Resistance to BCL2 Inhibition in AML Cells 2019 ·Cancer Discovery ·Tamilla Nechiporuk, Stephen E. Kurtz, Olga Nikolova, Tingting Liu, Courtney L. Jones, Angelo D’Alessandro, Rachel Culp‐Hill, Amanda d’Almeida, Sunil K. Joshi, Mara Rosenberg, Cristina E. Tognon, Alexey V. Danilov, Brian Druker, Bill H. Chang, Shannon K. McWeeney, Jeffrey Tyner	222
7	Abstract 4763: Genome-wide CRISPR screening identifies TSC1 as a regulator of sorafenib resistance in acute myeloid leukemia 2019 ·Cancer Research ·Alisa Damnernsawad, Tamilla Nechiporuk, (unknown), Wesley Horton, Olga Nikolova, Shannon K. McWeeney, Jeffrey Tyner	1
8	Functional Precision Medicine Identifies Novel Druggable Targets and Therapeutic Options in Head and Neck Cancer 2018 ·Clinical Cancer Research ·Chang Xu, Olga Nikolova, Ryan Basom, Ryan M. Mitchell, Reid Shaw, Russell Moser, (unknown), Kay E. Gurley, Michael Kao, (unknown), Franz X. Schaub, Robert L. Diaz, (unknown), In Sock Jang, Justin Guinney, Vijayakrishna K. Gadi, (unknown), Carla Grandori, Christopher J. Kemp, Eduardo Méndez	19
9	CTD2 Dashboard: a searchable web interface to connect validated results from the Cancer Target Discovery and Development Network 2017 ·Database ·Bülent Arman Aksoy, Vlado Dančík, Kenneth Smith, (unknown), Ji Zhou, Benjamin Groß, Olga Nikolova, Nadia Jaber, Andrea Califano, Stuart L. Schreiber, Daniela S. Gerhard, Leandro C. Hermida, Subhashini Jagu, Chris Sander, Aris Floratos, Paul A. Clemons	22
10	Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies 2017 ·Bioinformatics ·Olga Nikolova, Russell Moser, Christopher J. Kemp, Mehmet Gönen, (unknown)	9
11	Parallel globally optimal structure learning of Bayesian networks 2013 ·Journal of Parallel and Distributed Computing ·Olga Nikolova, Jarosław Żola, Srinivas Aluru	13
12	Parallel Bayesian network structure learning with application to gene networks 2012 ·Olga Nikolova, Srinivas Aluru	8
13	Parallel Discovery of Direct Causal Relations and Markov Boundaries with Applications to Gene Networks 2011 ·Olga Nikolova, Srinivas Aluru	8
14	Parallel Algorithms for Bayesian Networks Structure Learning with Applications to Systems Biology 2011 ·Olga Nikolova	1
15	A parallel algorithm for exact Bayesian network inference 2009 ·Olga Nikolova, Jarosław Żola, Srinivas Aluru	7
16	Using interdisciplinary bioinformatics undergraduate research to recruit and retain computer science students 2007 ·ACM SIGCSE Bulletin ·Jon Beck, Brent Buckner, Olga Nikolova	13
17	Involving Undergraduates in the Annotation and Analysis of Global Gene Expression Studies: Creation of a Maize Shoot Apical Meristem Expression Database 2007 ·Genetics ·Brent Buckner, Jon Beck, (unknown), (unknown), (unknown), Eneda Hoxha, Zhian N. Kamvar, (unknown), Olga Nikolova, Patrick S. Schnable, Michael J. Scanlon, Diane Janick‐Buckner	20
18	Using interdisciplinary bioinformatics undergraduate research to recruit and retain computer science students 2007 ·Jon Beck, Brent Buckner, Olga Nikolova	31

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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