Marilena M. Bourdakou

36 total papers · 516 total citations
23 papers, 328 citations indexed

About

Marilena M. Bourdakou is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Marilena M. Bourdakou has authored 23 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 2 papers in Organic Chemistry. Recurrent topics in Marilena M. Bourdakou's work include Bioinformatics and Genomic Networks (12 papers), Computational Drug Discovery Methods (9 papers) and Gene expression and cancer classification (5 papers). Marilena M. Bourdakou is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Computational Drug Discovery Methods (9 papers) and Gene expression and cancer classification (5 papers). Marilena M. Bourdakou collaborates with scholars based in Cyprus, Greece and United States. Marilena M. Bourdakou's co-authors include George M. Spyrou, Emmanouil Athanasiadis, Margarita Zachariou, George Minadakis, Anastasis Oulas, Kleitos Sokratous, Konstantina S. Nikita, George Kolios, Evangelos Karatzas and Nikolas Dietis and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Marilena M. Bourdakou

20 papers receiving 326 citations

Author Peers

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

Author						Papers	Cites
Marilena M. Bourdakou	201	80	35	30	30	23	328
Deborah K. Ngan	155 0.8×	88 1.1×	15 0.4×	62 2.1×	42 1.4×	13	318
Jyotsna Bhat	198 1.0×	62 0.8×	41 1.2×	21 0.7×	20 0.7×	16	318
Karim Azer	125 0.6×	56 0.7×	38 1.1×	20 0.7×	10 0.3×	33	348
Woonghee Kim	188 0.9×	36 0.5×	41 1.2×	16 0.5×	23 0.8×	29	334
R. Magesh	198 1.0×	18 0.2×	29 0.8×	27 0.9×	22 0.7×	19	313
Zhixiang Yang	80 0.4×	70 0.9×	85 2.4×	32 1.1×	51 1.7×	26	293
Prisca Lo Surdo	253 1.3×	59 0.7×	12 0.3×	23 0.8×	9 0.3×	12	333
Rashi Rajput	174 0.9×	17 0.2×	46 1.3×	14 0.5×	22 0.7×	22	356
Salvo Danilo Lombardo	138 0.7×	30 0.4×	32 0.9×	100 3.3×	81 2.7×	22	358
Zhongjie Chen	177 0.9×	49 0.6×	20 0.6×	10 0.3×	9 0.3×	39	343

Countries citing papers authored by Marilena M. Bourdakou

Since Specialization

Citations

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

Fields of papers citing papers by Marilena M. Bourdakou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marilena M. Bourdakou. 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 Marilena M. Bourdakou. The network helps show where Marilena M. Bourdakou may publish in the future.

Co-authorship network of co-authors of Marilena M. Bourdakou

This figure shows the co-authorship network connecting the top 25 collaborators of Marilena M. Bourdakou. A scholar is included among the top collaborators of Marilena M. Bourdakou 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 Marilena M. Bourdakou. Marilena M. Bourdakou 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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