Danny Barash

2.1k citations
81 papers · 1.5k · h-index 19

Impact in

Papers in

    • RNA and protein synthesis mechanisms 50
    • RNA modifications and cancer 26
    • RNA Research and Splicing 16
    • Genomics and Phylogenetic Studies 12
    • Hepatitis C virus research 15

Danny Barash

78 papers receiving 1.4k citations

Peers

Danny Barash
Comparison fields: 5 of 123
  • Media Technology 216
  • Computer Vision and Pattern Recognition 460
  • Computer Graphics and Computer-Aided Design 58
  • Hepatology 83
  • Molecular Biology 650
Replace Andy M. Yip with:
Andy M. Yip Singapore
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David W. Gohara United States
Xiaogang Wang China
Yujia Xue China
Hwee Kuan Lee Singapore
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Maarten Jansen Belgium
Pascuala Garcı́a-Martı́nez Spain
Hugues Richard Germany
Danny Barash relative to Andy M. Yip Singapore Andy M. Yip's profile →
Citations per field
00.5×6.9×
Andy M. Yip · 1×
Citations per year

Countries citing papers authored by Danny Barash

Since Specialization
Citations

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

Fields of papers citing papers by Danny Barash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002371
2 2003159
3 201657
4 200954
5 200943
6 201029
7 200629
8 201927
9 200327
10 201126
11 199925
12 201024
13 200224
14 201822
15 200421
16 200321
17 201020
18 200620
19 200719
20 200418

About Danny Barash

Danny Barash is a scholar working on Molecular Biology, Hepatology, Epidemiology, Genetics and Cardiology and Cardiovascular Medicine, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (50 papers), RNA modifications and cancer (26 papers), RNA Research and Splicing (16 papers), Hepatitis C virus research (15 papers), Genomics and Phylogenetic Studies (12 papers), Bacterial Genetics and Biotechnology (10 papers), Hepatitis B Virus Studies (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). The work is most often cited by research in Media Technology (216 citations), Computer Vision and Pattern Recognition (460 citations), Computer Graphics and Computer-Aided Design (58 citations), Hepatology (83 citations) and Molecular Biology (650 citations). Danny Barash has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Alexander Churkin, Dorin Comaniciu, Idan Gabdank, Vladimir Reinharz, Sumit Mukherjee, Tamar Schlick, Supratim Sengupta, Edward N. Trifonov, Yann Ponty and Harel Dahari. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Bioinformatics, Nucleic Acids Research, Briefings in Bioinformatics and PLoS ONE.

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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