Laura Opperman
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Genomics and Chromatin Dynamics
- Fungal and yeast genetics research
Papers in
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- RNA Research and Splicing 7
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 4
- RNA regulation and disease 2
- Fungal and yeast genetics research 1
- Insect Resistance and Genetics 1
- Aging 1
- Genetics, Aging, and Longevity in Model Organisms 1
- Co-authors
- Marvin Wickens (7 shared papers)David Bernstein (2 shared papers)Brad Hook (2 shared papers)Yeming Wang (2 shared papers)Traci M. Tanaka Hall (2 shared papers)Andrew D. Prigge (1 shared paper)Amy Cooke (1 shared paper)Mia C. DeFino (1 shared paper)
- Journals
- RNA (3 papers)Proceedings of the National Academy of Sciences (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Nature Structural & Molecular Biology (1 paper)BIOS (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Laura Opperman
8 papers receiving 457 citations
Peers
Comparison fields: 5 of 37
- Aging 96
- Molecular Biology 427
- Endocrine and Autonomic Systems 8
- Cancer Research 14
- Plant Science 27
Countries citing papers authored by Laura Opperman
This map shows the geographic impact of Laura Opperman'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 Laura Opperman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Opperman more than expected).
Fields of papers citing papers by Laura Opperman
This network shows the impact of papers produced by Laura Opperman. 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 Laura Opperman. The network helps show where Laura Opperman may publish in the future.
Co-authors
The 12 scholars most cited alongside Laura Opperman, 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 | 2005 | 113 | |
| 2 | 2009 | 92 | |
| 3 | 2005 | 84 | |
| 4 | 2011 | 68 | |
| 5 | 2011 | 45 | |
| 6 | 2009 | 37 | |
| 7 | 2008 | 22 | |
| 8 | 2005 | 1 |
About Laura Opperman
Laura Opperman is a scholar working on Molecular Biology, Aging, Insect Science, Plant Science and Infectious Diseases, having authored 8 papers that have together received 462 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers), RNA regulation and disease (2 papers), Insect and Pesticide Research (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Fungal and yeast genetics research (1 paper) and Insect Resistance and Genetics (1 paper). The work is most often cited by research in Aging (96 citations), Molecular Biology (427 citations), Endocrine and Autonomic Systems (8 citations), Cancer Research (14 citations) and Plant Science (27 citations). Laura Opperman has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Marvin Wickens, David Bernstein, Brad Hook, Yeming Wang, Traci M. Tanaka Hall, Andrew D. Prigge, Amy Cooke, Mia C. DeFino, Craig R. Stumpf and Chen Qiu. Their work appears in journals such as RNA, Proceedings of the National Academy of Sciences, Methods in enzymology on CD-ROM/Methods in enzymology, Nature Structural & Molecular Biology and BIOS.
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.