Barbara Trülzsch
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
Papers in
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- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 4
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Mitochondrial Function and Pathology 2
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 2
- Genetics 3
- Neurogenetic and Muscular Disorders Research 3
- Co-authors
- Matthew J. A. Wood (6 shared papers)Peter Wonerow (2 shared papers)Knut Krohn (2 shared papers)Klaus Dietmeier (1 shared paper)Nikolaus Pfanner (1 shared paper)Christoph Eckerskorn (1 shared paper)Thomas Söllner (1 shared paper)Walter Neupert (1 shared paper)
- Journals
- Human Molecular Genetics (1 paper)BioTechniques (1 paper)Journal of Molecular Medicine (1 paper)Brain Research (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United KingdomGermany
In The Last Decade
Barbara Trülzsch
11 papers receiving 365 citations
Peers
Comparison fields: 5 of 53
- Endocrinology, Diabetes and Metabolism 101
- Clinical Biochemistry 28
- Molecular Biology 268
- Genetics 27
- Anatomy 2
Countries citing papers authored by Barbara Trülzsch
This map shows the geographic impact of Barbara Trülzsch'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 Barbara Trülzsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Trülzsch more than expected).
Fields of papers citing papers by Barbara Trülzsch
This network shows the impact of papers produced by Barbara Trülzsch. 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 Barbara Trülzsch. The network helps show where Barbara Trülzsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Trülzsch, 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 | 1991 | 109 | |
| 2 | 2000 | 101 | |
| 3 | 1999 | 46 | |
| 4 | 1995 | 34 | |
| 5 | 2003 | 31 | |
| 6 | 2007 | 16 | |
| 7 | 2004 | 16 | |
| 8 | 2003 | 15 | |
| 9 | 2001 | 12 | |
| 10 | Ribozymes and siRNA for the treatment of diseases of the nervous system. | 2003 | 7 |
| 11 | 2003 | 1 |
About Barbara Trülzsch
Barbara Trülzsch is a scholar working on Molecular Biology, Genetics, Cancer Research, Endocrinology, Diabetes and Metabolism and Genetics, having authored 11 papers that have together received 388 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Mitochondrial Function and Pathology (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (101 citations), Clinical Biochemistry (28 citations), Molecular Biology (268 citations), Genetics (27 citations) and Anatomy (2 citations). Barbara Trülzsch has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Matthew J. A. Wood, Peter Wonerow, Knut Krohn, Klaus Dietmeier, Nikolaus Pfanner, Christoph Eckerskorn, Thomas Söllner, Walter Neupert, Helmut Schneider and Fritz Lottspeich. Their work appears in journals such as Human Molecular Genetics, BioTechniques, Journal of Molecular Medicine, Brain Research and Journal of Neurochemistry.
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.