Haim Burstein

22 papers receiving 908 citations

Haim Burstein's Hit Papers

Artificial miRNAs mitigate shRNA-mediated toxicity in the brain: Implications for the therapeutic development of RNAi 2008 · 501 citations
5010+6+12Years since publication100200300400500

Peers

Haim Burstein
Comparison fields: 5 of 75
  • Virology 121
  • Genetics 266
  • Cancer Research 115
  • Molecular Biology 556
  • Cellular and Molecular Neuroscience 143
Replace Akira Hakura with:
Akira Hakura Japan
C. Halbert United States
Olivier ter Brake Netherlands
Sandesh Subramanya United States
Robert Kutner United States
John Capodici United States
Masao Yamada Japan
Susanne Alldinger Germany
Ronit Shtrichman Israel
Kevin S. Dingwell United Kingdom
Haim Burstein relative to Akira Hakura Japan Akira Hakura's profile →
Citations per field
00.5×3.6×
Akira Hakura · 1×
Citations per year

Countries citing papers authored by Haim Burstein

Since Specialization
Citations

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

Fields of papers citing papers by Haim Burstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial miRNAs mitigate shRNA-mediated toxicity in the brain: Implications for the therapeutic development of RNAi
Hit paper breakdown →
2008501
2 200273
3 200850
4 199246
5 199142
6 199239
7 200430
8 199223
9 198422
10 198921
11 200520
12 199017
13 200715
14 199010
15 20048
16 20046
17 20084
18
Gene therapy for rheumatoid arthritis.
20014
19 20012
20 19952

About Haim Burstein

Haim Burstein is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology and Virology, having authored 22 papers that have together received 937 indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Viral Infections and Immunology Research (8 papers), HIV Research and Treatment (5 papers), Herpesvirus Infections and Treatments (5 papers), Plant Virus Research Studies (4 papers), CRISPR and Genetic Engineering (2 papers), Click Chemistry and Applications (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Virology (121 citations), Genetics (266 citations), Cancer Research (115 citations), Molecular Biology (556 citations) and Cellular and Molecular Neuroscience (143 citations). Haim Burstein has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Richard Peluso, Brian L. Gilmore, Scott Q. Harper, Ryan L. Boudreau, Alex Mas Monteys, Beverly L. Davidson, Barry Polisky, Jodi L. McBride, Barrie J. Carter and Patrick D. Staber. Their work appears in journals such as Journal of Virology, Molecular Therapy, Journal of Biological Chemistry, Modern Rheumatology and Virology.

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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