Irina Balaur

546 total citations
19 papers, 141 citations indexed

About

Irina Balaur is a scholar working on Molecular Biology, Information Systems and Management and Information Systems. According to data from OpenAlex, Irina Balaur has authored 19 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Information Systems and Management and 2 papers in Information Systems. Recurrent topics in Irina Balaur's work include Bioinformatics and Genomic Networks (11 papers), Gene Regulatory Network Analysis (7 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Irina Balaur is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Gene Regulatory Network Analysis (7 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Irina Balaur collaborates with scholars based in Luxembourg, Germany and France. Irina Balaur's co-authors include Alexander Mazein, Charles Auffray, Mansoor Saqi, Artem Lysenko, Dagmar Waltemath, Chris Rawlings, Vasundra Touré, Uğur Doğrusöz, Danielle Welter and Augustin Luna and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Irina Balaur

16 papers receiving 139 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irina Balaur Luxembourg 7 97 14 13 12 12 19 141
Vasundra Touré Norway 10 150 1.5× 22 1.6× 26 2.0× 2 0.2× 7 0.6× 21 198
Martijn G. Kersloot Netherlands 5 41 0.4× 24 1.7× 33 2.5× 11 0.9× 5 0.4× 8 104
CJ Barberan United States 3 135 1.4× 2 0.1× 43 3.3× 9 0.8× 11 0.9× 4 204
Yotam Frank Israel 2 96 1.0× 4 0.3× 11 0.8× 11 0.9× 6 0.5× 2 146
Zixiang Pan China 5 166 1.7× 3 0.2× 42 3.2× 2 0.2× 12 1.0× 6 221
Γεώργιος Παπουτσόγλου Greece 7 83 0.9× 2 0.1× 34 2.6× 3 0.3× 20 1.7× 13 182
Ishwar Chandramouliswaran United States 2 31 0.3× 13 0.9× 16 1.2× 2 0.2× 2 0.2× 2 69
Nensi Ikonomi Germany 7 161 1.7× 7 0.5× 20 1.5× 1 0.1× 6 0.5× 20 234
Tongqi Qian United States 5 40 0.4× 3 0.2× 5 0.4× 3 0.3× 3 0.3× 7 107
Sven Fillinger Germany 5 47 0.5× 16 1.1× 4 0.3× 2 0.2× 2 0.2× 6 86

Countries citing papers authored by Irina Balaur

Since Specialization
Citations

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

Fields of papers citing papers by Irina Balaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Balaur

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

All Works

19 of 19 papers shown
1.
Balaur, Irina, Danielle Welter, Alexander Mazein, et al.. (2025). FAIR assessment of Disease Maps fosters open science and scientific crowdsourcing in systems biomedicine. Scientific Data. 12(1). 851–851.
2.
Žagare, Alise, Irina Balaur, Cláudia Saraiva, et al.. (2025). Deciphering shared molecular dysregulation across Parkinson’s disease variants using a multi-modal network-based data integration and analysis. npj Parkinson s Disease. 11(1). 63–63.
3.
Shiferaw, Kirubel Biruk, et al.. (2024). Guidelines and standard frameworks for artificial intelligence in medicine: a systematic review. JAMIA Open. 8(1). ooae155–ooae155. 13 indexed citations
4.
Balaur, Irina, Hanna Ćwiek‐Kupczyńska, Yojana Gadiya, et al.. (2024). Getting ready for the European Health Data Space (EHDS): IDERHA's plan to align with the latest EHDS requirements for the secondary use of health data. SHILAP Revista de lepidopterología. 4. 160–160. 8 indexed citations
5.
Mazein, Alexander, Ron Henkel, Marek Ostaszewski, et al.. (2024). Graph databases in systems biology: a systematic review. Briefings in Bioinformatics. 25(6). 2 indexed citations
6.
Mazein, Alexander, Ron Henkel, Marek Ostaszewski, et al.. (2024). The Use of Graph Databases in Systems Biology: A Systematic Review. Preprints.org. 1 indexed citations
7.
Shiferaw, Kirubel Biruk, et al.. (2024). Guidelines and Standard Frameworks for Artificial Intelligence in Medicine: A Systematic Review. medRxiv. 4 indexed citations
8.
Shiferaw, Kirubel Biruk, Irina Balaur, Danielle Welter, Dagmar Waltemath, & Atinkut Alamirrew Zeleke. (2024). CALIFRAME: a proposed method of calibrating reporting guidelines with FAIR principles to foster reproducibility of AI research in medicine. JAMIA Open. 7(4). ooae105–ooae105.
9.
Waltemath, Dagmar, et al.. (2023). Experiences From FAIRifying Community Data and FAIR Infrastructure in Biomedical Research Domains. Open Repository and Bibliography (University of Luxembourg). 1. 1 indexed citations
10.
Balaur, Irina, et al.. (2023). StonPy: a tool to parse and query collections of SBGN maps in a graph database. Bioinformatics. 39(3). 3 indexed citations
11.
Mazein, Alexander, Márcio Luís Acencio, Irina Balaur, et al.. (2023). A guide for developing comprehensive systems biology maps of disease mechanisms: planning, construction and maintenance. SHILAP Revista de lepidopterología. 3. 1197310–1197310. 8 indexed citations
12.
Balaur, Irina, et al.. (2022). GraphML-SBGN bidirectional converter for metabolic networks. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 19(4). 1 indexed citations
13.
Pereira, Catarina, Alexander Mazein, Carlos M. Farinha, et al.. (2021). CyFi-MAP: an interactive pathway-based resource for cystic fibrosis. Scientific Reports. 11(1). 22223–22223. 4 indexed citations
14.
Balaur, Irina, et al.. (2020). cd2sbgnml: bidirectional conversion between CellDesigner and SBGN formats. Bioinformatics. 36(8). 2620–2622. 6 indexed citations
15.
Touré, Vasundra, Stuart Moodie, Irina Balaur, et al.. (2019). Systems Biology Graphical Notation: Process Description language Level 1 Version 2.0. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 16(2). 38 indexed citations
16.
McGee, Fintan, et al.. (2018). Human-like layout algorithms for signalling hypergraphs: outlining requirements. Briefings in Bioinformatics. 21(1). 62–72. 6 indexed citations
17.
Balaur, Irina, Alexander Mazein, Mansoor Saqi, et al.. (2016). Recon2Neo4j: applying graph database technologies for managing comprehensive genome-scale networks. Bioinformatics. 33(7). 1096–1098. 23 indexed citations
18.
Touré, Vasundra, Alexander Mazein, Dagmar Waltemath, et al.. (2016). STON: exploring biological pathways using the SBGN standard and graph databases. BMC Bioinformatics. 17(1). 494–494. 11 indexed citations
19.
Balaur, Irina, Mansoor Saqi, Ana Barat, et al.. (2016). EpiGeNet: A Graph Database of Interdependencies Between Genetic and Epigenetic Events in Colorectal Cancer. Journal of Computational Biology. 24(10). 969–980. 12 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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