Barbara Trülzsch

467 citations
11 papers · 355 · h-index 9

Impact in

    • Thyroid Cancer Diagnosis and Treatment
    • Thyroid Disorders and Treatments
    • Mitochondrial Function and Pathology
    • RNA and protein synthesis mechanisms
    • RNA Interference and Gene Delivery
    • ATP Synthase and ATPases Research
    • RNA modifications and cancer
    • Advanced biosensing and bioanalysis techniques

Papers in

    • Advanced biosensing and bioanalysis techniques 4
    • RNA Interference and Gene Delivery 4
    • RNA modifications and cancer 3
    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 2
    • CRISPR and Genetic Engineering 2
    • Mitochondrial Function and Pathology 2
    • Neurogenetic and Muscular Disorders Research 3

Barbara Trülzsch

11 papers receiving 345 citations

Peers

Barbara Trülzsch
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 86
  • Molecular Biology 275
  • Clinical Biochemistry 24
  • Genetics 30
  • Anatomy 2
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Citations per field
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Citations per year

Countries citing papers authored by Barbara Trülzsch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Barbara Trülzsch Line = papers co-authored together Barbara Trülzsch links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 199198
2 200085
3 199943
4 199532
5 200331
6 200716
7 200416
8 200315
9 200111
10
Ribozymes and siRNA for the treatment of diseases of the nervous system.
20037
11 20031

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 355 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), RNA and protein synthesis mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (86 citations), Molecular Biology (275 citations), Clinical Biochemistry (24 citations), Genetics (30 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, Helmut Schneider, Thomas Söllner, Klaus Dietmeier, Christoph Eckerskorn, Fritz Lottspeich, Walter Neupert and Nikolaus Pfanner. Their work appears in journals such as Human Molecular Genetics, Brain Research, Science, BioTechniques and Experimental and Clinical Endocrinology & Diabetes.

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.

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