Eva U. Lorentzen

612 citations
20 papers · 425 · h-index 10

Impact in

  • Virology top 10%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

Eva U. Lorentzen

19 papers receiving 414 citations

Peers

Eva U. Lorentzen
Comparison fields: 5 of 76
  • Virology 33
  • Epidemiology 211
  • Infectious Diseases 108
  • Immunology 100
  • Animal Science and Zoology 34
Replace Khalid Amine Timani with:
Khalid Amine Timani United States
Bingke Bai China
Olivier Engler Switzerland
Laura Sinigaglia France
Soumi Sukla India
Rak-Kyun Seong South Korea
Sarah van Tol United States
Lisa Evans DeWald United States
Yasuteru Sakurai Japan
Giselle Barbosa-Lima Brazil
Eva U. Lorentzen relative to Khalid Amine Timani United States Khalid Amine Timani's profile →
Citations per field
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Khalid Amine Timani · 1×
Citations per year

Countries citing papers authored by Eva U. Lorentzen

Since Specialization
Citations

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

Fields of papers citing papers by Eva U. Lorentzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva U. Lorentzen. 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 Eva U. Lorentzen. The network helps show where Eva U. Lorentzen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201281
2 201154
3 201049
4 199045
5 202136
6 202131
7 200226
8 201724
9 199524
10 199111
11 20158
12 19947
13 20017
14 20226
15 20026
16 20225
17 20242
18 20232
19 20231
20 20240

About Eva U. Lorentzen

Eva U. Lorentzen is a scholar working on Infectious Diseases, Epidemiology, Immunology, Animal Science and Zoology and Molecular Biology, having authored 20 papers that have together received 425 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Toxin Mechanisms and Immunotoxins (4 papers), Animal Virus Infections Studies (4 papers), COVID-19 Clinical Research Studies (4 papers), Immunotherapy and Immune Responses (3 papers), Virus-based gene therapy research (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Virology (33 citations), Epidemiology (211 citations), Infectious Diseases (108 citations), Immunology (100 citations) and Animal Science and Zoology (34 citations). Eva U. Lorentzen has collaborated with scholars based in Germany, Australia and Slovakia. Frequent co-authors include Joachim Kühn, Wali Hafezi, Bodo R. Eing, Alexandra Deters, Andreas Hensel, Andrea Derksen, Marcus Müller, Ulrike Wieland, Nicholas J. C. King and Thomas C. Mettenleiter. Their work appears in journals such as PLoS Pathogens, Vaccines, Virus Research, Journal of Personalized Medicine and International Journal of Infectious Diseases.

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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