J.J. Trausch
Impact in
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- CRISPR and Genetic Engineering
Papers in
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- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 6
- Advanced biosensing and bioanalysis techniques 4
- RNA Research and Splicing 3
- RNA Interference and Gene Delivery 2
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- Biosensors and Analytical Detection 3
- Co-authors
- Robert Batey (7 shared papers)Pablo Ceres (2 shared papers)F.E. Reyes (2 shared papers)Mary Shank-Retzlaff (3 shared papers)Thorsten Verch (5 shared papers)Joan G. Marcano-Velázquez (2 shared papers)Rob Knight (2 shared papers)Andrea L. Edwards (1 shared paper)
- Journals
- Analytical Chemistry (3 papers)Journal of Molecular Biology (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Vaccine (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
J.J. Trausch
12 papers receiving 485 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 449
- Microbiology 28
- Genetics 105
- Infectious Diseases 30
- Structural Biology 2
Countries citing papers authored by J.J. Trausch
This map shows the geographic impact of J.J. Trausch'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 J.J. Trausch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.J. Trausch more than expected).
Fields of papers citing papers by J.J. Trausch
This network shows the impact of papers produced by J.J. Trausch. 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 J.J. Trausch. The network helps show where J.J. Trausch may publish in the future.
Co-authors
The 21 scholars most cited alongside J.J. Trausch, 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 | 2011 | 119 | |
| 2 | 2013 | 76 | |
| 3 | 2014 | 53 | |
| 4 | 2013 | 47 | |
| 5 | 2014 | 46 | |
| 6 | 2015 | 41 | |
| 7 | 2018 | 39 | |
| 8 | 2017 | 29 | |
| 9 | 2017 | 22 | |
| 10 | 2014 | 11 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 1 |
About J.J. Trausch
J.J. Trausch is a scholar working on Molecular Biology, Biomedical Engineering, Epidemiology, Genetics and Ecology, having authored 12 papers that have together received 488 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Biosensors and Analytical Detection (3 papers), RNA Research and Splicing (3 papers), RNA Interference and Gene Delivery (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Molecular Biology (449 citations), Microbiology (28 citations), Genetics (105 citations), Infectious Diseases (30 citations) and Structural Biology (2 citations). J.J. Trausch has collaborated with scholars based in United States. Frequent co-authors include Robert Batey, Pablo Ceres, F.E. Reyes, Mary Shank-Retzlaff, Thorsten Verch, Joan G. Marcano-Velázquez, Rob Knight, Andrea L. Edwards, Colby D. Stoddard and Jeremy Widmann. Their work appears in journals such as Analytical Chemistry, Journal of Molecular Biology, Methods in enzymology on CD-ROM/Methods in enzymology, Vaccine and Proceedings of the National Academy of Sciences.
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.