Omer Basha

3.2k citations
12 papers · 352 · h-index 10

Impact in

    • Bioinformatics and Genomic Networks
    • Microbial Metabolic Engineering and Bioproduction
    • Gene expression and cancer classification
    • Heat shock proteins research
    • RNA Research and Splicing
    • Gene Regulatory Network Analysis
    • RNA modifications and cancer

Papers in

    • Bioinformatics and Genomic Networks 7
    • RNA and protein synthesis mechanisms 4
    • RNA modifications and cancer 3
    • RNA Research and Splicing 3
    • Gene expression and cancer classification 2
    • Biomedical Text Mining and Ontologies 2

Omer Basha

12 papers receiving 349 citations

Peers

Omer Basha
Comparison fields: 5 of 70
  • Aging 17
  • Molecular Biology 271
  • Cancer Research 31
  • Cell Biology 32
  • Genetics 47
Replace Jing-Dong Han with:
Jing-Dong Han China
Hélène Vignaud France
Robert Fragoza United States
Kannabiran Nandakumar United States
Dániel V. Veres Hungary
Santhosh Palani United States
Finja Büchel Germany
Dongxin Zhao China
S Sujatha Mohan United States
Barbara Küppers-Munther Sweden
Omer Basha relative to Jing-Dong Han China Jing-Dong Han's profile →
Citations per field
00.5×
Jing-Dong Han · 1×
Citations per year

Countries citing papers authored by Omer Basha

Since Specialization
Citations

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

Fields of papers citing papers by Omer Basha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202161
2 201757
3 201249
4 201646
5 201529
6 201428
7 202023
8 201319
9 201816
10 201812
11 20196
12 20236

About Omer Basha

Omer Basha is a scholar working on Molecular Biology, Cell Biology, Computational Theory and Mathematics, Genetics and Spectroscopy, having authored 12 papers that have together received 352 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Gene expression and cancer classification (2 papers), Biomedical Text Mining and Ontologies (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Aging (17 citations), Molecular Biology (271 citations), Cancer Research (31 citations), Cell Biology (32 citations) and Genetics (47 citations). Omer Basha has collaborated with scholars based in Israel, Germany and Italy. Frequent co-authors include Esti Yeger‐Lotem, Ruth Barshir, Idan Hekselman, Ilan Smoly, Eugene Lerman, Eyal Simonovsky, Vered Chalifa‐Caspi, Mehtap Abu‐Qarn, Serena Carra and Anat Ben‐Zvi. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Plant Biotechnology Journal, Molecular Systems Biology and Brain.

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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