Olga Nikolova

113 total papers · 948 total citations
18 papers, 386 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 386 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), Cancer Genomics and Diagnostics (4 papers) and Bioinformatics and Genomic Networks (4 papers). Olga Nikolova is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), Cancer Genomics and Diagnostics (4 papers) and Bioinformatics and Genomic Networks (4 papers). Olga Nikolova collaborates with scholars based in United States, India and South Africa. Olga Nikolova's co-authors include Jon Beck, Brent Buckner, Srinivas Aluru, Jeffrey Tyner, Shannon K. McWeeney, Angelo D’Alessandro, Brian Druker, Tamilla Nechiporuk, Bill H. Chang and Courtney L. Jones and has published in prestigious journals such as Bioinformatics, Cancer Research and Oncogene.

In The Last Decade

Olga Nikolova

18 papers receiving 383 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Olga Nikolova	247	166	54	43	37	18	386
Xiangmeng Wang	147 0.6×	102 0.6×	46 0.9×	32 0.7×	106 2.9×	32	410
Sylvia Chien	130 0.5×	141 0.8×	68 1.3×	33 0.8×	30 0.8×	25	362
Peter Saffrey	190 0.8×	79 0.5×	13 0.2×	42 1.0×	15 0.4×	10	383
Amir Fathi	171 0.7×	193 1.2×	32 0.6×	96 2.2×	11 0.3×	29	422
Alexander Groß	293 1.2×	80 0.5×	63 1.2×	40 0.9×	6 0.2×	18	444
Steven J. Potts	120 0.5×	56 0.3×	177 3.3×	35 0.8×	41 1.1×	22	419
Kai Post	191 0.8×	48 0.3×	36 0.7×	29 0.7×	18 0.5×	7	336
Tatsuya Ando	227 0.9×	21 0.1×	37 0.7×	26 0.6×	29 0.8×	26	418
Cheryl L. Brown	85 0.3×	82 0.5×	15 0.3×	34 0.8×	48 1.3×	14	378
Leandro C. Hermida	214 0.9×	83 0.5×	24 0.4×	13 0.3×	6 0.2×	17	361

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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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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