Eric Viara

3.8k citations
16 papers · 1.9k indexed · 1 hit paper · h-index 9

Eric Viara

16 papers receiving 1.9k citations

Hit Papers

HiC-Pro: an optimized and flexible pipeline for Hi-C data...1.4k20152026201820224008001.2k

Peers

Eric Viara
Comparison fields: 5 of 108
  • Molecular Biology 1.6k
  • Plant Science 575
  • Genetics 363
  • Cancer Research 136
  • Modeling and Simulation 33
Replace Aurélien Naldi with:
Aurélien Naldi France
Luis Mendoza Mexico
Xionglei He China
Morgane Thomas‐Chollier France
Wayne T. Matten United States
Douglas E. Bassett United States
Tatyana Goldberg Germany
Chris Seidel United States
Karl Sirotkin United States
Lucas Sánchez Spain
Eric Viara relative to Aurélien Naldi France Aurélien Naldi's profile →
Citations per field
00.5×1.5×2.3×
Aurélien Naldi · 1×
Citations per year

Countries citing papers authored by Eric Viara

Since Specialization
Citations

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

Fields of papers citing papers by Eric Viara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Eric Viara, 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 Eric Viara Line = papers co-authored together Eric Viara links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20226
2 20213
3 20178
4 201774
5
HiC-Pro: an optimized and flexible pipeline for Hi-C data processingbreakdown →
20151422
6 20155
7 201586
8 201525
9 201336
10 201288
11 200771
12 200628
13 200666
14 20033
15 19995
16 19985

About Eric Viara

Eric Viara is a scholar working on Modeling and Simulation, Molecular Biology and Biophysics, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (6 papers), Gene expression and cancer classification (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Mathematical Biology Tumor Growth (2 papers), Computational Drug Discovery Methods (2 papers), Chromosomal and Genetic Variations (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Plant Science (575 citations) and Genetics (363 citations). Eric Viara has collaborated with scholars based in France, Sweden and China. Frequent co-authors include Emmanuel Barillot, Jean‐Philippe Vert, Édith Heard, Bryan R. Lajoie, Job Dekker, Nicolas Servant, Nelle Varoquaux, Laurence Calzone, Andreï Zinovyev and Gautier Stoll. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Frontiers in Molecular Biosciences, BMC Systems Biology and Oncogenesis.

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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