Ute Rexroth

1.0k citations
29 papers · 251 · h-index 8

Impact in

    • COVID-19 epidemiological studies
    • Viral Infections and Outbreaks Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors

Papers in

Ute Rexroth

24 papers receiving 239 citations

Peers

Ute Rexroth
Comparison fields: 5 of 71
  • Modeling and Simulation 62
  • Infectious Diseases 108
  • Applied Microbiology and Biotechnology 8
  • Emergency Medical Services 17
  • Health 18
Replace Hye-Kyung Park with:
Hye-Kyung Park South Korea
Andrew Jeremijenko Qatar
Pierre‐Philippe Piché‐Renaud Canada
Haleema Alserehi Saudi Arabia
Francisco Alvarado‐Ramy United States
Felicity Aiano United Kingdom
Fatima Abdirizak United States
Alhassan Abdul‐Mumin Ghana
Alicia Roselló United Kingdom
Wasiq Khan Egypt
Ute Rexroth relative to Hye-Kyung Park South Korea Hye-Kyung Park's profile →
Citations per field
00.5×1.5×2.4×
Hye-Kyung Park · 1×
Citations per year

Countries citing papers authored by Ute Rexroth

Since Specialization
Citations

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

Fields of papers citing papers by Ute Rexroth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ute Rexroth, 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 Ute Rexroth Line = papers co-authored together Ute Rexroth 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 2021127
2 202018
3 202115
4 202010
5 201510
6 202010
7 202110
8 20219
9 20216
10 20215
11 20135
12 20154
13 20213
14 20213
15 20203
16 20133
17 20202
18 20202
19 20251
20 20231

About Ute Rexroth

Ute Rexroth is a scholar working on Infectious Diseases, General Health Professions, Immunology, Epidemiology and Modeling and Simulation, having authored 29 papers that have together received 251 indexed citations. Recurring topics across this work include Health and Medical Studies (8 papers), Immune responses and vaccinations (8 papers), COVID-19 epidemiological studies (6 papers), Viral Infections and Outbreaks Research (4 papers), Respiratory viral infections research (4 papers), Disaster Response and Management (3 papers), COVID-19 Clinical Research Studies (3 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Modeling and Simulation (62 citations), Infectious Diseases (108 citations), Applied Microbiology and Biotechnology (8 citations), Emergency Medical Services (17 citations) and Health (18 citations). Ute Rexroth has collaborated with scholars based in Germany, Sweden and Netherlands. Frequent co-authors include Osamah Hamouda, Michaela Diercke, Alexander Ullrich, Lars Schaade, T. Sonia Boender, Silke Buda, Franziska Hommes, Birgit Reime, Katharina Alpers and Doris Altmann. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, Frontiers in Public Health, BMC Public Health and The Lancet Regional Health - Europe.

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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