Ulla Raab

2.1k citations
29 papers · 1.7k · h-index 22

Impact in

Papers in

Ulla Raab

29 papers receiving 1.7k citations

Peers

Ulla Raab
Comparison fields: 5 of 97
  • Infectious Diseases 483
  • Health, Toxicology and Mutagenesis 375
  • Dermatology 177
  • Environmental Chemistry 208
  • Genetics 126
Replace Lourdes Baranda with:
Lourdes Baranda Mexico
Vivian Chan China
Satoshi Nakamura Japan
Claudia Maria Radu Italy
Monica Spiteri United Kingdom
Yoshimi Suzuki Japan
Richard F. Branda United States
Adrian Watson United Kingdom
Vadim Pivniouk United States
Michael Levi Sweden
Ulla Raab relative to Lourdes Baranda Mexico Lourdes Baranda's profile →
Citations per field
00.5×5.7×
Lourdes Baranda · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996275
2 1998198
3 2007161
4 2011129
5 200899
6 200891
7 200584
8 200477
9 200277
10 199370
11 199349
12 200048
13 201537
14 199936
15 200733
16 199833
17 201631
18 200530
19 201329
20 200628

About Ulla Raab

Ulla Raab is a scholar working on Infectious Diseases, Molecular Biology, Health, Toxicology and Mutagenesis, Genetics and Dermatology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Dermatological and COVID-19 studies (4 papers), Vascular Anomalies and Treatments (4 papers), Toxic Organic Pollutants Impact (4 papers), Per- and polyfluoroalkyl substances research (3 papers), Peptidase Inhibition and Analysis (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Infectious Diseases (483 citations), Health, Toxicology and Mutagenesis (375 citations), Dermatology (177 citations), Environmental Chemistry (208 citations) and Genetics (126 citations). Ulla Raab has collaborated with scholars based in Germany, Spain and Ireland. Frequent co-authors include Hermann Fromme, Carmelo Bernabéu, Pedro Lastres, Ainhoa Letamendı́a, Carmen Langa, Susanne Modrow, Wolfgang Völkel, Dorothee Twardella, Beatriz Velasco and Nuria Almendro. Their work appears in journals such as Journal of Medical Virology, Biochemical Journal, Chemosphere, International Journal of Hygiene and Environmental Health and International Journal of Audiology.

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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