David Burstein
- Endocrinology top 0.5%
- Molecular Biology top 1%
- CRISPR and Genetic Engineering 14
- Genomics and Phylogenetic Studies 13
- Cell death mechanisms and regulation 9
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 7
- Aging top 2%
- Ecology top 2%
- Microbial Community Ecology and Physiology 8
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- Cancer-related Molecular Pathways 13
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- Salivary Gland Tumors Diagnosis and Treatment 7
- Co-authors
- Jennifer A. DoudnaJillian F. BanfieldTal PupkoAlexandra East-SeletskyMitchell R. O’ConnellLucas B. HarringtonBrian C. ThomasJ.H.D. Cate
- Journals
- Nature Communications (6 papers)Modern Pathology (6 papers)Diagnostic Cytopathology (5 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
David Burstein
126 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Business and International Management 313
- Endocrinology 630
- Molecular Biology 5.2k
- Aging 103
- Ecology 856
Countries citing papers authored by David Burstein
This map shows the geographic impact of David 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 David Burstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Burstein more than expected).
Fields of papers citing papers by David Burstein
This network shows the impact of papers produced by David 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 David Burstein. The network helps show where David Burstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Burstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 28 | |
| 3 | 2020 | 52 | |
| 4 | 2019 | 52 | |
| 5 | 2019 | 145 | |
| 6 | 2019 | 93 | |
| 7 | Programmed DNA destruction by miniature CRISPR-Cas14 enzymesbreakdown → | 2018 | 895 |
| 8 | 2017 | 105 | |
| 9 | 2017 | 88 | |
| 10 | New CRISPR–Cas systems from uncultivated microbesbreakdown → | 2016 | 409 |
| 11 | 2016 | 28 | |
| 12 | 2015 | 53 | |
| 13 | 2015 | 2 | |
| 14 | 2012 | 70 | |
| 15 | 2012 | 3 | |
| 16 | 2007 | 34 | |
| 17 | 2005 | 1 | |
| 18 | 1997 | 19 | |
| 19 | Development and Application of a Military Intelligence (MI) Job Comparison and Analysis Tool (JCAT) | 1991 | 1 |
| 20 | 1990 | 7 |
About David Burstein
David Burstein is a scholar working on Microbiology, Endocrinology and Molecular Biology, having authored 128 papers that have together received 7.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (14 papers), Cancer-related Molecular Pathways (13 papers), Genomics and Phylogenetic Studies (13 papers), Cell death mechanisms and regulation (9 papers), Microbial Community Ecology and Physiology (8 papers), RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (7 papers) and Salivary Gland Tumors Diagnosis and Treatment (7 papers). The work is most often cited by research in Business and International Management (313 citations), Endocrinology (630 citations) and Molecular Biology (5.2k citations). David Burstein has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Jennifer A. Doudna, Jillian F. Banfield, Tal Pupko, Alexandra East-Seletsky, Mitchell R. O’Connell, Lucas B. Harrington, Brian C. Thomas, J.H.D. Cate, Robert Tjian and Spencer C. Knight. Their work appears in journals such as Nature Communications, Modern Pathology, Diagnostic Cytopathology, Acta Cytologica and Human Pathology.
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.