Ruben Bacares

3.8k total citations
9 papers, 174 citations indexed

About

Ruben Bacares is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Ruben Bacares has authored 9 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 2 papers in Surgery. Recurrent topics in Ruben Bacares's work include Genetic factors in colorectal cancer (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and CRISPR and Genetic Engineering (2 papers). Ruben Bacares is often cited by papers focused on Genetic factors in colorectal cancer (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and CRISPR and Genetic Engineering (2 papers). Ruben Bacares collaborates with scholars based in United States and Portugal. Ruben Bacares's co-authors include Liying Zhang, Jinru Shia, Zsofia K. Stadler, Efsevia Vakiani, David S. Klimstra, Marc Ladanyi, Laura H. Tang, Min Guo, Nora Katabi and Hangjun Wang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Ruben Bacares

8 papers receiving 172 citations

Peers

Ruben Bacares

PFM

MB

ONCOL

CR

SURGE

Daniela Dinu Romania

Emanuele Urso Italy

Kathleen L.J. Daenen Netherlands

Emmanouil Volikos United Kingdom

Peggy Cuillière-Dartigues France

A Aimé France

Teresa Selander Canada

Hansjakob Mueller Switzerland

Sanne W. ten Broeke Netherlands

Monica Marabelli Italy

Daniela Dinu Romania

Ruben Bacares

77 ×0.7

PFM

68 ×0.8

MB

101 ×1.4

ONCOL

43 ×0.8

CR

29 ×0.9

SURGE

Citations per year, relative to Ruben Bacares Ruben Bacares (= 1×) peers Daniela Dinu

Countries citing papers authored by Ruben Bacares

Since Specialization

Citations

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

Fields of papers citing papers by Ruben Bacares

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruben Bacares

This figure shows the co-authorship network connecting the top 25 collaborators of Ruben Bacares. A scholar is included among the top collaborators of Ruben Bacares 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 Ruben Bacares. Ruben Bacares 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

1.

Yelskaya, Zarina, Ruben Bacares, Erin Salo‐Mullen, et al.. (2016). CDH1 Missense Variant c.1679C>G (p.T560R) Completely Disrupts Normal Splicing through Creation of a Novel 5’ Splice Site. PLoS ONE. 11(11). e0165654–e0165654. 11 indexed citations

2.

Bisogna, Maria, Fanny Dao, Narciso Olvera, et al.. (2016). Abstract A05: BRCA1 promoter hypermethylation loss in recurrent high-grade serous carcinoma.. Clinical Cancer Research. 22(2_Supplement). A05–A05.

3.

Chekaluk, Yvonne, et al.. (2015). BAP1 Missense Mutation c.2054 A>T (p.E685V) Completely Disrupts Normal Splicing through Creation of a Novel 5’ Splice Site in a Human Mesothelioma Cell Line. PLoS ONE. 10(4). e0119224–e0119224. 10 indexed citations

4.

Zhang, Liying, Ruben Bacares, Soraia Melo, et al.. (2014). The germline CDH1 c.48 G > C substitution contributes to cancer predisposition through generation of a pro-invasive mutation. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 770. 106–111. 14 indexed citations

5.

Ye, Jiqing, Yi Zhou, Martin R. Weiser, et al.. (2014). Immunohistochemical detection of ARID1A in colorectal carcinoma: loss of staining is associated with sporadic microsatellite unstable tumors with medullary histology and high TNM stage. Human Pathology. 45(12). 2430–2436. 47 indexed citations

6.

Shia, Jinru, Liying Zhang, Moshe Shike, et al.. (2012). Secondary mutation in a coding mononucleotide tract in MSH6 causes loss of immunoexpression of MSH6 in colorectal carcinomas with MLH1/PMS2 deficiency. Modern Pathology. 26(1). 131–138. 64 indexed citations

7.

Stadler, Zsofia K., Erin Salo‐Mullen, Liying Zhang, et al.. (2012). Juvenile Polyposis Syndrome Presenting With Familial Gastric Cancer and Massive Gastric Polyposis. Journal of Clinical Oncology. 30(25). e229–e232. 8 indexed citations

8.

Zhang, Liying, Lishi Chen, Ruben Bacares, et al.. (2011). BRCA1 R71K missense mutation contributes to cancer predisposition by increasing alternative transcript levels. Breast Cancer Research and Treatment. 130(3). 1051–1056. 12 indexed citations

9.

Zhang, Liying, et al.. (2008). cDNA analysis demonstrates that the BRCA2 intronic variant IVS4-12del5 is a deleterious mutation. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 663(1-2). 84–89. 8 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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