Ulla Raab

2.1k citations
32 papers · 1.8k · h-index 23

Impact in

Papers in

Ulla Raab

32 papers receiving 1.7k citations

Peers

Ulla Raab
Comparison fields: 5 of 82
  • Infectious Diseases 442
  • Health, Toxicology and Mutagenesis 267
  • Sensory Systems 94
  • Environmental Chemistry 154
  • Genetics 106
Replace Angela Lucariello with:
Angela Lucariello Italy
Loreen Thürmann Germany
Michelle Li United States
Livia Lustig Argentina
Zulvikar Syambani Ulhaq Indonesia
Yaqi Peng China
Jacqueline Quay United States
Kui Liu China
Denise G. Hemmings Canada
Nathalie Baumlin United States
Ulla Raab relative to Angela Lucariello Italy Angela Lucariello's profile →
Citations per field
00.5×20×40×51.3×
Angela Lucariello · 1×
Citations per year

Countries citing papers authored by Ulla Raab

Since Specialization
Citations

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

Fields of papers citing papers by Ulla Raab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996274
2 1998198
3 2007161
4 2011132
5 2008105
6 200889
7 200588
8 200481
9 200278
10 199369
11 199349
12 200047
13 201538
14 199936
15 199834
16 200733
17 201631
18 200530
19 200628
20 201328

About Ulla Raab

Ulla Raab is a scholar working on Infectious Diseases, Sensory Systems, Health, Toxicology and Mutagenesis, Speech and Hearing and Genetics, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (6 papers), Toxic Organic Pollutants Impact (6 papers), TGF-β signaling in diseases (5 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Viral Infections and Immunology Research (2 papers), Vascular Anomalies and Treatments (2 papers) and Per- and polyfluoroalkyl substances research (2 papers). The work is most often cited by research in Infectious Diseases (442 citations), Health, Toxicology and Mutagenesis (267 citations), Sensory Systems (94 citations), Environmental Chemistry (154 citations) and Genetics (106 citations). Ulla Raab has collaborated with scholars based in Germany, Spain and United Kingdom. Frequent co-authors include Hermann Fromme, Carmelo Bernabéu, Pedro Lastres, Ainhoa Letamendı́a, Carmen Langa, Susanne Modrow, Wolfgang Völkel, Dorothee Twardella, Nuria Almendro and Beatriz Velasco. Their work appears in journals such as Noise and Health, FEBS Letters, Chemosphere, International Journal of Audiology and Journal of Medical Virology.

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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