Ulla Raab

2.1k citations
28 papers · 1.6k · h-index 22

Impact in

Papers in

Ulla Raab

28 papers receiving 1.6k citations

Peers

Ulla Raab
Comparison fields: 5 of 105
  • Health, Toxicology and Mutagenesis 359
  • Infectious Diseases 474
  • Dermatology 215
  • Environmental Chemistry 197
  • Clinical Biochemistry 99
Replace Lourdes Baranda with:
Lourdes Baranda Mexico
J.C. Moreno Spain
Vadim Pivniouk United States
Kaoru Suzumori Japan
Jing Su China
Vivian Chan China
Julia Yu-Yun Lee Taiwan
Yaqi Peng China
Yoshimi Suzuki Japan
Lorena Orozco Mexico
Ulla Raab relative to Lourdes Baranda Mexico Lourdes Baranda's profile →
Citations per field
00.5×10×15×19.8×
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996262
2 1998192
3 2007148
4 2011123
5 200893
6 200584
7 200883
8 200277
9 200472
10 199360
11 200045
12 199339
13 201536
14 199936
15 200733
16 199831
17 201631
18 200628
19 201328
20 200525

About Ulla Raab

Ulla Raab is a scholar working on Infectious Diseases, Molecular Biology, Health, Toxicology and Mutagenesis, Dermatology and Genetics, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Toxic Organic Pollutants Impact (4 papers), Dermatological and COVID-19 studies (4 papers), Hearing Loss and Rehabilitation (3 papers), Bacterial biofilms and quorum sensing (3 papers), Cell Adhesion Molecules Research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (359 citations), Infectious Diseases (474 citations), Dermatology (215 citations), Environmental Chemistry (197 citations) and Clinical Biochemistry (99 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 FEBS Letters, Journal of Medical Virology, International Journal of Audiology, Chemosphere and International Journal of Hygiene and Environmental Health.

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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