Ruth Barshir

2.7k total citations
11 papers, 375 citations indexed

About

Ruth Barshir is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ruth Barshir has authored 11 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Ruth Barshir's work include Bioinformatics and Genomic Networks (6 papers), Genomics and Rare Diseases (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Ruth Barshir is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Genomics and Rare Diseases (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Ruth Barshir collaborates with scholars based in Israel, United States and United Kingdom. Ruth Barshir's co-authors include Esti Yeger‐Lotem, Ilan Smoly, Omer Basha, Ruth Hershberg, James DeGregori, Marilyn Safran, Yaron Mazor, Simon Fishilevich, Doron Lancet and Idan Hekselman and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and PLoS Genetics.

In The Last Decade

Ruth Barshir

10 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruth Barshir Israel	8	285	104	101	31	31	11	375
Philipp Raffeiner Austria	10	279 1.0×	46 0.4×	74 0.7×	23 0.7×	27 0.9×	10	327
Angela Matchan United Kingdom	6	165 0.6×	67 0.6×	59 0.6×	24 0.8×	19 0.6×	7	266
Jonathan Mélius Netherlands	3	218 0.8×	47 0.5×	38 0.4×	27 0.9×	15 0.5×	3	321
Sue Povey United Kingdom	4	301 1.1×	62 0.6×	90 0.9×	26 0.8×	16 0.5×	4	432
Jochen Weile Canada	12	488 1.7×	83 0.8×	285 2.8×	48 1.5×	13 0.4×	27	655
Natalie Davis United States	5	202 0.7×	77 0.7×	106 1.0×	9 0.3×	34 1.1×	14	332
Chen-Ching Lin Taiwan	14	461 1.6×	206 2.0×	40 0.4×	68 2.2×	22 0.7×	18	555
Graeme Benstead-Hume United Kingdom	8	270 0.9×	87 0.8×	24 0.2×	42 1.4×	14 0.5×	12	341
Khalid Hilmi Canada	6	323 1.1×	55 0.5×	76 0.8×	10 0.3×	12 0.4×	6	400

Countries citing papers authored by Ruth Barshir

Since Specialization

Citations

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

Fields of papers citing papers by Ruth Barshir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruth Barshir

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

All Works

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11 of 11 papers shown

May, Dalit, Ruth Barshir, Moni Shahar, Adam J. Rose, & Dorit Shmueli. (2025). Genetic Testing of Neurodevelopmental Disorders in Israel. JAMA Network Open. 8(8). e2527464–e2527464.

Gould, M.N., Ruth Barshir, Yaron Guan‐Golan, et al.. (2024). Expanding and Enriching the LncRNA Gene–Disease Landscape Using the GeneCaRNA Database. Biomedicines. 12(6). 1305–1305. 3 indexed citations

Barshir, Ruth, Simon Fishilevich, Yaron Mazor, et al.. (2021). GeneCaRNA: A Comprehensive Gene-centric Database of Human Non-coding RNAs in the GeneCards Suite. Journal of Molecular Biology. 433(11). 166913–166913. 67 indexed citations

Fishilevich, Simon, et al.. (2021). Disease interpretation of non-coding genomic elements with the GeneCards Suite. Molecular Genetics and Metabolism. 132. S123–S123. 1 indexed citations

Dahary, Dvir, Yaron Mazor, Ruth Barshir, et al.. (2019). Genome analysis and knowledge-driven variant interpretation with TGex. BMC Medical Genomics. 12(1). 200–200. 33 indexed citations

Barshir, Ruth, Idan Hekselman, Netta Shemesh, et al.. (2018). Role of duplicate genes in determining the tissue-selectivity of hereditary diseases. PLoS Genetics. 14(5). e1007327–e1007327. 21 indexed citations

Basha, Omer, et al.. (2016). The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues. Nucleic Acids Research. 45(D1). D427–D431. 46 indexed citations

Basha, Omer, et al.. (2015). MyProteinNet: build up-to-date protein interaction networks for organisms, tissues and user-defined contexts. Nucleic Acids Research. 43(W1). W258–W263. 29 indexed citations

Barshir, Ruth, et al.. (2014). Cancer Evolution Is Associated with Pervasive Positive Selection on Globally Expressed Genes. PLoS Genetics. 10(3). e1004239–e1004239. 72 indexed citations

10.

Barshir, Ruth, et al.. (2014). Comparative Analysis of Human Tissue Interactomes Reveals Factors Leading to Tissue-Specific Manifestation of Hereditary Diseases. PLoS Computational Biology. 10(6). e1003632–e1003632. 54 indexed citations

11.

Barshir, Ruth, et al.. (2012). The TissueNet database of human tissue protein–protein interactions. Nucleic Acids Research. 41(D1). D841–D844. 49 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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