Olga Rigina

2.1k total citations · 2 hit papers
6 papers, 1.1k citations indexed

About

Olga Rigina is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Olga Rigina has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Genetics. Recurrent topics in Olga Rigina's work include Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Computational Drug Discovery Methods (2 papers). Olga Rigina is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Computational Drug Discovery Methods (2 papers). Olga Rigina collaborates with scholars based in Denmark, Sweden and Belgium. Olga Rigina's co-authors include Søren Brunak, Kasper Lage, Flemming Pociot, Yves Moreau, Niels Tommerup, Anders Gorm Pedersen, Zenia M. Størling, Pall I. Olason, Anders M. Hinsby and E. Olof Karlberg and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Nature Methods.

In The Last Decade

Olga Rigina

6 papers receiving 1.1k 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.

A human phenome-interactome network of protein complexes implicated in genetic disorders

2007 659 citations Kasper Lage, E. Olof Karlberg et al. Nature Biotechnology profile →
A scored human protein–protein interaction network to catalyze genomic interpretation

2016 386 citations Taibo Li, Rasmus Wernersson et al. Nature Methods profile →

Peers

Countries citing papers authored by Olga Rigina

Since Specialization

Citations

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

Fields of papers citing papers by Olga Rigina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Rigina

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

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	RosettaDDGPrediction for high‐throughput mutational scans: From stability to binding 2022 ·Protein Science ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Ulrik Kristoffer Stoltze, Olga Rigina, Peter Wad Sackett, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo	36
2	A scored human protein–protein interaction network to catalyze genomic interpretation breakdown → 2016 ·Nature Methods ·Taibo Li, Rasmus Wernersson, Rasmus Borup Hansen, Heiko Horn, (unknown), Greg Slodkowicz, Christopher T. Workman, Olga Rigina, Kristoffer Rapacki, (unknown), Søren Brunak, Thomas Jensen, Kasper Lage	386
3	TIMP1 overexpression mediates resistance of MCF-7 human breast cancer cells to fulvestrant and down-regulates progesterone receptor expression 2013 ·Tumor Biology ·(unknown), (unknown), Kirstine Belling, Sidse Ørnbjerg Würtz, Rachita Yadav, Ulrik Lademann, Olga Rigina, Khoa Nguyen, Henrik J. Ditzel, Anne E. Lykkesfeldt, Jun Wang, Henrik Bjørn Nielsen, Nils Brünner, Ramneek Gupta, Anne‐Sofie Schrohl, Jan Stenvang	16
4	HExpoChem: a systems biology resource to explore human exposure to chemicals 2013 ·Bioinformatics ·Olivier Taboureau, (unknown), (unknown), Daniel Edsgärd, Olga Rigina, Ramneek Gupta, Karine Audouze	7
5	Prediction of drug efficacy for cancer treatment based on comparative analysis of chemosensitivity and gene expression data 2011 ·Bioorganic & Medicinal Chemistry ·(unknown), Qiyuan Li, (unknown), Aron C. Eklund, Alexandr Parlesak, Olga Rigina, Søren Jensby Nielsen, Fredrik Björkling, Svava Ósk Jónsdóttir	3
6	A human phenome-interactome network of protein complexes implicated in genetic disorders breakdown → 2007 ·Nature Biotechnology ·Kasper Lage, E. Olof Karlberg, Zenia M. Størling, Pall I. Olason, Anders Gorm Pedersen, Olga Rigina, Anders M. Hinsby, Zeynep Tümer, Flemming Pociot, Niels Tommerup, Yves Moreau, Søren Brunak	659

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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