Daniel Jutzi

612 citations
14 papers · 401 · h-index 10

Impact in

  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research
  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research

Papers in

    • RNA Research and Splicing 8
    • RNA modifications and cancer 4
    • RNA and protein synthesis mechanisms 3
    • RNA Interference and Gene Delivery 2
    • Epigenetics and DNA Methylation 1
    • Neurogenetic and Muscular Disorders Research 5

Daniel Jutzi

14 papers receiving 397 citations

Peers

Daniel Jutzi
Comparison fields: 5 of 50
  • Genetics 105
  • Neurology 130
  • Molecular Biology 321
  • Biochemistry 15
  • Neurology 15
Replace Roberto Miguez with:
Roberto Miguez United States
Eva‐Maria Hock Switzerland
Gina Picchiarelli France
Vladislav A. Korobeynikov United States
Donatella Bardelli Italy
Francesca Simonetti Germany
Anthony T. Trinh United States
Geneviève Paris Canada
Friederike Hans Germany
Lauren Duan United States
Daniel Jutzi relative to Roberto Miguez United States Roberto Miguez's profile →
Citations per field
00.5×3.8×
Roberto Miguez · 1×
Citations per year

Countries citing papers authored by Daniel Jutzi

Since Specialization
Citations

This map shows the geographic impact of Daniel Jutzi'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 Daniel Jutzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Jutzi more than expected).

Fields of papers citing papers by Daniel Jutzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Jutzi. 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 Daniel Jutzi. The network helps show where Daniel Jutzi may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Jutzi, 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 Daniel Jutzi Line = papers co-authored together Daniel Jutzi links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201686
2 202177
3 201669
4 202056
5 201732
6 201823
7 202316
8 202313
9 200712
10 202311
11 20253
12 20261
13 20261
14 20221

About Daniel Jutzi

Daniel Jutzi is a scholar working on Molecular Biology, Genetics, Neurology, Health, Toxicology and Mutagenesis and Epidemiology, having authored 14 papers that have together received 401 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Neurogenetic and Muscular Disorders Research (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA Interference and Gene Delivery (2 papers), Epigenetics and DNA Methylation (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Genetics (105 citations), Neurology (130 citations), Molecular Biology (321 citations), Biochemistry (15 citations) and Neurology (15 citations). Daniel Jutzi has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Marc‐David Ruepp, Stefan Reber, Jonas Mechtersheimer, Martino Colombo, Oliver Mühlemann, Silvia M.L. Barabino, Christoph Schweingruber, Michal Domanski, Dorothee Dormann and Anny Devoy. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Brain Behavior and Immunity, Journal of the Air & Waste Management Association and Acta Neuropathologica.

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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