Eric Ruano

432 total citations
9 papers, 243 citations indexed

About

Eric Ruano is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Eric Ruano has authored 9 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Eric Ruano's work include Genetic factors in colorectal cancer (8 papers), RNA Research and Splicing (4 papers) and Cancer Genomics and Diagnostics (3 papers). Eric Ruano is often cited by papers focused on Genetic factors in colorectal cancer (8 papers), RNA Research and Splicing (4 papers) and Cancer Genomics and Diagnostics (3 papers). Eric Ruano collaborates with scholars based in France, India and United Kingdom. Eric Ruano's co-authors include Alain Puisieux, Qing Wang, Françoise Desseigne, Jean Christophe Saurin, Stephen N. Thibodeau, Sandra Dudley, Meena Upadhyaya, Claudine Navarro, Valérie Bonadona and Christine Lasset and has published in prestigious journals such as Human Molecular Genetics, Human Mutation and Human Genetics.

In The Last Decade

Eric Ruano

9 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Ruano France	5	179	104	95	63	45	9	243
Marie D. Ricciardone United States	5	164 0.9×	73 0.7×	71 0.7×	69 1.1×	33 0.7×	5	241
Manon Suerink Netherlands	9	145 0.8×	94 0.9×	46 0.5×	88 1.4×	30 0.7×	21	212
Mahan Ghiassi United States	8	155 0.9×	61 0.6×	154 1.6×	108 1.7×	13 0.3×	12	317
Jacques Mauillon France	6	150 0.8×	68 0.7×	58 0.6×	132 2.1×	22 0.5×	11	308
Chelsea Mullins United States	7	98 0.5×	105 1.0×	99 1.0×	114 1.8×	20 0.4×	17	265
Elsa C. Bik Netherlands	5	179 1.0×	90 0.9×	83 0.9×	91 1.4×	69 1.5×	6	270
Doua Bakry Israel	4	93 0.5×	40 0.4×	108 1.1×	44 0.7×	88 2.0×	7	271
Nigel R. Hall United Kingdom	6	289 1.6×	157 1.5×	148 1.6×	220 3.5×	48 1.1×	10	427
Cecília Correia Portugal	12	58 0.3×	48 0.5×	124 1.3×	32 0.5×	53 1.2×	25	267
S. Rumpler Austria	7	49 0.3×	74 0.7×	103 1.1×	54 0.9×	44 1.0×	11	252

Countries citing papers authored by Eric Ruano

Since Specialization

Citations

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

Fields of papers citing papers by Eric Ruano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Ruano

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

All Works

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9 of 9 papers shown

Bouras, Ahmed, et al.. (2024). Splicing analysis of 24 potential spliceogenic variants in MMR genes and clinical interpretation based on refined ACMG/AMP criteria. Human Molecular Genetics. 33(10). 850–859. 1 indexed citations

Bouras, Ahmed, et al.. (2023). PMS2 or PMS2CL? Characterization of variants detected in the 3′ of the PMS2 gene. Genes Chromosomes and Cancer. 63(1). e23193–e23193. 4 indexed citations

Bouras, Ahmed, et al.. (2023). From variant of unknown significance to likely pathogenic: Characterization and pathogenicity determination of a large genomic deletion in the MLH1 gene. Molecular Genetics & Genomic Medicine. 11(9). e2231–e2231. 2 indexed citations

Bouras, Ahmed, et al.. (2022). A PMS2 non-canonical splicing site variant leads to aberrant splicing in a patient suspected for lynch syndrome. Familial Cancer. 22(3). 303–306. 1 indexed citations

Lefol, Cédrick, Emilie Sohier, Christian Baudet, et al.. (2020). Acquired somatic MMR deficiency is a major cause of MSI tumor in patients suspected for “Lynch-like syndrome” including young patients. European Journal of Human Genetics. 29(3). 482–488. 16 indexed citations

Vaissière, Thomas, Françoise Desseigne, Christine Lasset, et al.. (2010). Intensity‐dependent constitutional MLH1 promoter methylation leads to early onset of colorectal cancer by affecting both alleles. Genes Chromosomes and Cancer. 50(3). 178–185. 22 indexed citations

Leroux, Dominique, Françoise Desseigne, Christine Lasset, et al.. (2007). Novel biallelic mutations inMSH6 andPMS2 genes: gene conversion as a likely cause ofPMS2 gene inactivation. Human Mutation. 28(11). 1084–1090. 51 indexed citations

Navarro, Claudine, Eric Ruano, Françoise Desseigne, et al.. (2006). Systematic mRNA analysis for the effect ofMLH1 andMSH2 missense and silent mutations on aberrant splicing. Human Mutation. 27(2). 145–154. 68 indexed citations

Wang, Qing, Eric Ruano, Meena Upadhyaya, et al.. (2003). Neurofibromatosis type 1 gene as a mutational target in a mismatch repair-deficient cell type. Human Genetics. 112(2). 117–123. 78 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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