Sara Aibar

14.6k citations

17 papers · 6.1k indexed · 4 hit papers · h-index 14

Impact in

Immunology top 1%
- Immune cells in cancer
- Immune Cell Function and Interaction
Cancer Research top 1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research

Papers in

Molecular Biology 17
- Single-cell and spatial transcriptomics 9
- Gene expression and cancer classification 6
- Genomics and Chromatin Dynamics 6
- Gene Regulatory Network Analysis 5
- Bioinformatics and Genomic Networks 4
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 2
Cancer Research 3
- Cancer Genomics and Diagnostics 3

Co-authors: Stein Aerts Carmen Bravo González‐Blas Gert Hulselmans Jasper Wouters Thomas Moerman Jan Aerts Zeynep Kalender Atak Hana Imrichová
Journals: Nature Methods (3 papers)BMC Genomics (2 papers)Bioinformatics (2 papers)Nature Medicine (1 paper)Nature Genetics (1 paper)
Partner nations: Belgium United States Spain

In The Last Decade

Sara Aibar

17 papers receiving 6.1k citations

Hit Papers

align trajectories log scale

SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks 2023 · 231 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Nature Methods
2020 Nature Protocols
2018 Nature Medicine
2017 Nature Methods

Peers

Countries citing papers authored by Sara Aibar

Since Specialization

Citations

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

Fields of papers citing papers by Sara Aibar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sara Aibar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sara Aibar Line = papers co-authored together Sara Aibar links everyone, so they are left out of the graph.

All Works

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17 of 17 papers shown

#	Work
1	SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks Nature Methods ·Carmen Bravo González‐Blas, Seppe De Winter, Gert Hulselmans, Nikolai Hecker, Irina Matetovici, Valerie Christiaens, Suresh Poovathingal, Jasper Wouters, Sara Aibar, Stein Aerts Hit paper breakdown →	2023	231
2	Decoding gene regulation in the fly brain Nature ·Jasper Janssens, Sara Aibar, Ibrahim Ihsan Taskiran, Joy N. Ismail, Alicia Estacio‐Gómez, Gabriel Aughey, Katina I. Spanier, Rich Gerber, Carmen Bravo González‐Blas, Marc Dionne, Gustavo A. C. D‟Antonio, Line Vikersveen, Tao Kui-yuan, Gert Hulselmans, Samira Makhzami, Maxime De Waegeneer, Valerie Christiaens, Tony D. Southall, Stein Aerts	2022	89
3	Identification of genomic enhancers through spatial integration of single‐cell transcriptomics and epigenomics Molecular Systems Biology ·Carmen Bravo González‐Blas, Xiao‐Jiang Quan, Albert Albertí, Ibrahim Ihsan Taskiran, Duygu Koldere, Kristofer Davie, Valerie Christiaens, Samira Makhzami, Gert Hulselmans, Maxime De Waegeneer, David Mauduit, Suresh Poovathingal, Sara Aibar, Stein Aerts	2020	48
4	A scalable SCENIC workflow for single-cell gene regulatory network analysis Nature Protocols ·Bram Van de Sande, Christopher Flerin, Kristofer Davie, Maxime De Waegeneer, Gert Hulselmans, Sara Aibar, Ruth Seurinck, Wouter Saelens, Robrecht Cannoodt, 森田悌, Seri Rungruang, Dries De Maeyer, Joke Reumers, Yvan Saeys, Stein Aerts Hit paper breakdown →	2020	723
5	cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data Nature Methods ·Carmen Bravo González‐Blas, Liesbeth Minnoye, Tao Kui-yuan, Sara Aibar, Gert Hulselmans, Valerie Christiaens, Kristofer Davie, Jasper Wouters, Stein Aerts	2019	244
6	Phenotype molding of stromal cells in the lung tumor microenvironment Nature Medicine ·Diether Lambrechts, Els Wauters, Bram Boeckx, Sara Aibar, David Nittner, Oliver T. Burton, Ayse Bassez, Herbert Decaluwé, Andreas Pircher, Kathleen Van den Eynde, Birgit Weynand, Erik Verbeken, Paul De Leyn, Adrian Liston, Johan Vansteenkiste, Peter Carmeliet, Stein Aerts, Bernard Thienpont Hit paper breakdown →	2018	1037
7	The transcription factor Grainy head primes epithelial enhancers for spatiotemporal activation by displacing nucleosomes Nature Genetics ·Jelle Jacobs, Mardelle Atkins, Kristofer Davie, Hana Imrichová, Mitja Mosimann, Valerie Christiaens, Gert Hulselmans, Delphine Potier, Jasper Wouters, Ibrahim Ihsan Taskiran, 天琪宁, Carmen Bravo González‐Blas, Duygu Koldere, Sara Aibar, Georg Halder, Stein Aerts	2018	93
8	GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks Bioinformatics ·Thomas Moerman, Sara Aibar, Carmen Bravo González‐Blas, Jaak Simm, Yves Moreau, Jan Aerts, Stein Aerts	2018	292
9	Comparative oncogenomics identifies tyrosine kinase FES as a tumor suppressor in melanoma Journal of Clinical Investigation ·Michael Olvedy, Julie Tisserand, Flavie Luciani, Bram Boeckx, Jasper Wouters, Jessica Abensour, Florian Rambow, Sara Aibar, Bernard Thienpont, Jasmine Barra, Inggrit Presti Rena, Enrico Radaelli, Sophie Tartare‐Deckert, Stein Aerts, Patrice Dubreuil, Joost J. van den Oord, Diether Lambrechts, Paulo De Sepulveda, Jean‐Christophe Marine	2017	21
10	SCENIC: single-cell regulatory network inference and clustering Nature Methods ·Sara Aibar, Carmen Bravo González‐Blas, Thomas Moerman, Vân Anh Huynh‐Thu, Hana Imrichová, Gert Hulselmans, Florian Rambow, Jean‐Christophe Marine, Pierre Geurts, Jan Aerts, Joost van den Oord, Zeynep Kalender Atak, Jasper Wouters, Stein Aerts Hit paper breakdown →	2017	3087
11	Mapping gene regulatory networks from single-cell omics data Briefings in Functional Genomics ·Mark Fiers, Liesbeth Minnoye, Sara Aibar, Carmen Bravo González‐Blas, Zeynep Kalender Atak, Stein Aerts	2017	147
12	Identification of novel direct targets of Drosophila Sine oculis and Eyes absent by integration of genome-wide data sets Developmental Biology ·Meng Jin, Sara Aibar, Zhongqi Ge, Rui Chen, Stein Aerts, Graeme Mardon	2016	8
13	Identification of expression patterns in the progression of disease stages by integration of transcriptomic data BMC Bioinformatics ·Sara Aibar, María Abáigar, Francisco Campos‐Laborie, Borja Cruz, Jesús María Hernández‐Rivas, Javier De Las Rivas	2016	13
14	Analyse multiple disease subtypes and build associated gene networks using genome-wide expression profiles BMC Genomics ·Sara Aibar, Celia Fontanillo, C. Droste, Beatriz Rosón, Francisco Campos‐Laborie, Jesús María Hernández‐Rivas, Javier De Las Rivas	2015	15
15	Functional Gene Networks: R/Bioc package to generate and analyse gene networks derived from functional enrichment and clustering Bioinformatics ·Sara Aibar, Celia Fontanillo, C. Droste, Javier De Las Rivas	2015	48
16	Combined analysis of genome-wide expression and copy number profiles to identify key altered genomic regions in cancer BMC Genomics ·Celia Fontanillo, Sara Aibar, Borja Cruz, Javier De Las Rivas	2012	10
17	Genome-wide profiling of methylation identifies novel targets with aberrant hypermethylation and reduced expression in low-risk myelodysplastic syndromes Leukemia ·Mónica Del Rey, Jee-Hwan Ryu, Margaret Dellett, Sara Aibar, Da-ming Pei, M. Eva Alonso, María Díez‐Campelo, Richard N. Armstrong, Daniel Sharpe, Norma C. Gutiérrez, Juan Luis Garcı́a, Javier De Las Rivas, Ken Mills, Jesús María Hernández‐Rivas	2012	31

About Sara Aibar

Sara Aibar is a scholar working on Molecular Biology, Cancer Research, Biophysics, Oncology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 6.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), Gene expression and cancer classification (6 papers), Genomics and Chromatin Dynamics (6 papers), Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Immunology (1.8k citations), Cancer Research (1.2k citations), Molecular Biology (4.3k citations), Oncology (1.3k citations) and Biophysics (252 citations). Sara Aibar has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Stein Aerts, Carmen Bravo González‐Blas, Gert Hulselmans, Jasper Wouters, Thomas Moerman, Jan Aerts, Zeynep Kalender Atak, Hana Imrichová, Florian Rambow and Jean‐Christophe Marine. Their work appears in journals such as Nature Methods, BMC Genomics, Bioinformatics, Nature Medicine and Nature Genetics.

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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