Claudia Dafinger

1.6k citations
27 papers · 935 · h-index 14

Impact in

Papers in

    • Renal and related cancers 10
    • Epigenetics and DNA Methylation 3
    • Wnt/β-catenin signaling in development and cancer 2
    • Genetic and Kidney Cyst Diseases 9

Claudia Dafinger

27 papers receiving 929 citations

Peers

Claudia Dafinger
Comparison fields: 5 of 77
  • Sensory Systems 185
  • Genetics 258
  • Molecular Biology 599
  • Nephrology 46
  • Neurology 53
Replace Marisa Zallocchi with:
Marisa Zallocchi United States
Lynne H. Liu United States
Amy J. Pace United States
Ersan Kalay Türkiye
Paolo Scudieri Italy
Katharine K. Miller United States
Meriel McEntagart United Kingdom
Wissam A. AbouAlaiwi United States
Chika Saegusa Japan
Carine Chagneau France
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Citations per field
00.5×3.4×
Marisa Zallocchi · 1×
Citations per year

Countries citing papers authored by Claudia Dafinger

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Dafinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010221
2 2010182
3 2011143
4 201260
5 201556
6 201244
7 201332
8 201724
9 201519
10 201119
11 201417
12 201815
13 201315
14 201914
15 202111
16 202010
17 201710
18 20119
19 20227
20 20236

About Claudia Dafinger

Claudia Dafinger is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 935 indexed citations. Recurring topics across this work include Renal and related cancers (10 papers), Genetic and Kidney Cyst Diseases (9 papers), Biomedical Research and Pathophysiology (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Epigenetics and DNA Methylation (3 papers), Renal cell carcinoma treatment (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Sensory Systems (185 citations), Genetics (258 citations), Molecular Biology (599 citations), Nephrology (46 citations) and Neurology (53 citations). Claudia Dafinger has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Bernhard Schermer, Thomas Benzing, Hanno J. Bolz, Gudrun Nürnberg, Peter Nürnberg, Max C. Liebau, Inga Ebermann, Andreas Lieb, Matteo E. Mangoni and Mathias Gebhart. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Orphanet Journal of Rare Diseases, Molecular and Cellular Pediatrics and Genes Brain & Behavior.

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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