David E. Weinberg
Impact in
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Genomics and Phylogenetic Studies
- Fungal and yeast genetics research
- Endocrinology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 15
- RNA modifications and cancer 10
- RNA Research and Splicing 8
- Fungal and yeast genetics research 2
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- Plant Virus Research Studies 2
- Plant Disease Resistance and Genetics 2
- Co-authors
- David P. Bartel (7 shared papers)Dinshaw J. Patel (2 shared papers)Kotaro Nakanishi (2 shared papers)Gerald R. Fink (3 shared papers)Ines A. Drinnenberg (3 shared papers)Kristian E. Baker (1 shared paper)Vladimir Presnyak (1 shared paper)Najwa Alhusaini (1 shared paper)
- Partner nations
- United StatesIreland
In The Last Decade
David E. Weinberg
18 papers receiving 2.3k citations
David E. Weinberg's Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 2.0k
- Endocrinology 96
- Cancer Research 215
- Plant Science 297
- Aging 13
Countries citing papers authored by David E. Weinberg
This map shows the geographic impact of David E. Weinberg'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 E. Weinberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Weinberg more than expected).
Fields of papers citing papers by David E. Weinberg
This network shows the impact of papers produced by David E. Weinberg. 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 E. Weinberg. The network helps show where David E. Weinberg may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Weinberg, 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 | Codon Optimality Is a Major Determinant of mRNA Stability Hit paper breakdown → | 2015 | 697 |
| 2 | 2009 | 399 | |
| 3 | 2012 | 277 | |
| 4 | 2016 | 275 | |
| 5 | 2018 | 119 | |
| 6 | 2017 | 112 | |
| 7 | 2016 | 95 | |
| 8 | 2008 | 68 | |
| 9 | 2011 | 54 | |
| 10 | 2017 | 54 | |
| 11 | 2011 | 44 | |
| 12 | 2011 | 35 | |
| 13 | 2016 | 28 | |
| 14 | 2018 | 11 | |
| 15 | 2017 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2020 | 4 | |
| 18 | 2021 | 2 |
About David E. Weinberg
David E. Weinberg is a scholar working on Molecular Biology, Plant Science, Immunology, Renewable Energy, Sustainability and the Environment and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), RNA modifications and cancer (10 papers), RNA Research and Splicing (8 papers), Metalloenzymes and iron-sulfur proteins (2 papers), Fungal and yeast genetics research (2 papers), Plant Virus Research Studies (2 papers), Plant Disease Resistance and Genetics (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Molecular Biology (2.0k citations), Endocrinology (96 citations), Cancer Research (215 citations), Plant Science (297 citations) and Aging (13 citations). David E. Weinberg has collaborated with scholars based in United States and Ireland. Frequent co-authors include David P. Bartel, Dinshaw J. Patel, Kotaro Nakanishi, Gerald R. Fink, Ines A. Drinnenberg, Kristian E. Baker, Vladimir Presnyak, Najwa Alhusaini, Nathan Morris and Sara Olson. Their work appears in journals such as Cell, Science, RNA, Nature and eLife.
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.