Uta Griesenbach

5.2k citations
109 papers · 2.9k indexed · h-index 32
Topics
Cystic Fibrosis Research Advances (42 papers)Neonatal Respiratory Health Research (41 papers)Virus-based gene therapy research (35 papers)

In The Last Decade

Uta Griesenbach

106 papers receiving 2.8k citations

Peers

Uta Griesenbach
Comparison fields: 5 of 114
  • Pulmonary and Respiratory Medicine 1.4k
  • Molecular Biology 1.3k
  • Genetics 883
  • Infectious Diseases 389
  • Electrical and Electronic Engineering 323
Replace Larry G. Johnson with:
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Citations per field
00.5×1.5×2.2×
Larry G. Johnson · 1×
Citations per year

Countries citing papers authored by Uta Griesenbach

Since Specialization
Citations

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

Fields of papers citing papers by Uta Griesenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uta Griesenbach

This figure shows the co-authorship network connecting the top 25 collaborators of Uta Griesenbach. A scholar is included among the top collaborators of Uta Griesenbach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uta Griesenbach. Uta Griesenbach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 9
3 1
4 15
5 17
6 36
7 70
8 40
9
LARGE-SCALE PRODUCTION OF LENTIVIRAL VECTORS FOR CF LUNG GENE THERAPY
1
10
A PHASE 2B DOUBLE-BLIND, PLACEBO-CONTROLLED TRIAL OF NON-VIRAL MEDIATED GENE THERAPY FOR CF
2
11 79
12
SAFETY AND EXPRESSION OF A SINGLE DOSE OF LIPID-MEDIATED CFTR GENE THERAPY TO THE UPPER AND LOWER AIRWAYS OF PATIENTS WITH CF
4
13
LONGITUDINAL ASSESSMENT OF BIOMARKERS FOR CLINICAL TRIALS OF NOVEL THERAPEUTIC AGENTS; THE RUN-IN STUDY
0
14 32
15 2
16 16
17
LacZ siRNA and antisense DNA decrease beta-galactosidase mRNA but not protein expression in the airways of K18-lacZ transgenic mice
1
18 53
19 71
20 134

About Uta Griesenbach

Uta Griesenbach is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Genetics, having authored 109 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (42 papers), Neonatal Respiratory Health Research (41 papers) and Virus-based gene therapy research (35 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.4k citations), Genetics (883 citations) and Infectious Diseases (389 citations). Uta Griesenbach has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Eric W.F.W. Alton, D M Geddes, Jane C. Davies, Stefano Ferrari, Duncan M. Geddes, Stephen C. Hyde, Mamoru Hasegawa, Deborah R. Gill, Stefania Xenariou and Raymond Farley. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Biotechnology.

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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