Eva Litrup

1.4k citations
23 papers · 847 · h-index 16

Impact in

Papers in

    • Salmonella and Campylobacter epidemiology 20
    • Bacteriophages and microbial interactions 9

Eva Litrup

22 papers receiving 821 citations

Peers

Eva Litrup
Comparison fields: 5 of 60
  • Endocrinology 264
  • Molecular Medicine 245
  • Food Science 612
  • Biotechnology 132
  • Infectious Diseases 139
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Beth Tolar United States
Chaiwat Pulsrikarn Thailand
Bixia Ke China
Kristoffer Kiil Denmark
María Aurora Echeita Spain
Sueli Aparecida Fernandes Brazil
Marie Bugarel United States
Sylvie Issenhuth-Jeanjean France
Janine Beutlich Germany
Elisabeth Hauser Germany
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Citations per field
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Citations per year

Countries citing papers authored by Eva Litrup

Since Specialization
Citations

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

Fields of papers citing papers by Eva Litrup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009163
2 201376
3 201769
4 200962
5 200656
6 201954
7 202052
8 201748
9 201044
10 201932
11 201128
12 202128
13 201026
14 202126
15 202017
16 201916
17 202015
18 201913
19 201010
20 20214

About Eva Litrup

Eva Litrup is a scholar working on Food Science, Ecology, Endocrinology, Molecular Biology and Molecular Medicine, having authored 23 papers that have together received 847 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (20 papers), Bacteriophages and microbial interactions (9 papers), Vibrio bacteria research studies (6 papers), Antibiotic Resistance in Bacteria (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Identification and Quantification in Food (3 papers), Genomics and Phylogenetic Studies (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). The work is most often cited by research in Endocrinology (264 citations), Molecular Medicine (245 citations), Food Science (612 citations), Biotechnology (132 citations) and Infectious Diseases (139 citations). Eva Litrup has collaborated with scholars based in Denmark, United Kingdom and Germany. Frequent co-authors include Eva Møller Nielsen, Burkhard Malorny, Stephan Huehn, Gitte Sørensen, Kristoffer Kiil, John Elmerdahl Olsen, Tine Hald, Anette M. Hammerum, Henrik Christensen and Louise Roer. Their work appears in journals such as Eurosurveillance, Foodborne Pathogens and Disease, BMC Microbiology, Frontiers in Microbiology and Journal of Applied Microbiology.

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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