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 Disease Resistance and Genetics 2
- Plant Virus Research Studies 2
- Co-authors
- David P. Bartel (7 shared papers)Kotaro Nakanishi (2 shared papers)Dinshaw J. Patel (2 shared papers)Gerald R. Fink (3 shared papers)Ines A. Drinnenberg (3 shared papers)Brenton R. Graveley (1 shared paper)Sophie Martin (1 shared paper)Kristian E. Baker (1 shared paper)
- Partner nations
- United StatesIreland
In The Last Decade
David E. Weinberg
18 papers receiving 2.4k citations
David E. Weinberg's Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 2.0k
- Endocrinology 94
- Cancer Research 222
- Plant Science 314
- Aging 14
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 | 735 |
| 2 | 2009 | 428 | |
| 3 | 2012 | 286 | |
| 4 | 2016 | 283 | |
| 5 | 2018 | 123 | |
| 6 | 2017 | 117 | |
| 7 | 2016 | 97 | |
| 8 | 2008 | 74 | |
| 9 | 2011 | 59 | |
| 10 | 2017 | 56 | |
| 11 | 2011 | 48 | |
| 12 | 2011 | 39 | |
| 13 | 2016 | 30 | |
| 14 | 2018 | 12 | |
| 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 2.4k 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 Disease Resistance and Genetics (2 papers), Plant Virus Research Studies (2 papers) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Molecular Biology (2.0k citations), Endocrinology (94 citations), Cancer Research (222 citations), Plant Science (314 citations) and Aging (14 citations). David E. Weinberg has collaborated with scholars based in United States and Ireland. Frequent co-authors include David P. Bartel, Kotaro Nakanishi, Dinshaw J. Patel, Gerald R. Fink, Ines A. Drinnenberg, Brenton R. Graveley, Sophie Martin, Kristian E. Baker, Jeff Coller and Nathan Morris. Their work appears in journals such as Cell, Nature, Science, RNA 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.