Ylva Blixt

1.3k total citations · 1 hit paper
10 papers, 1.0k citations indexed

About

Ylva Blixt is a scholar working on Genetics, Molecular Biology and Food Science. According to data from OpenAlex, Ylva Blixt has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Food Science. Recurrent topics in Ylva Blixt's work include Virus-based gene therapy research (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Ylva Blixt is often cited by papers focused on Virus-based gene therapy research (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Ylva Blixt collaborates with scholars based in Sweden and Netherlands. Ylva Blixt's co-authors include Elisabeth Borch, Peter Rådström, Rickard Knutsson, Waleed Abu Al‐Soud, Pär-Gunnar Lantz, Einar Everitt, Halfdan Grage and Mikael Varga and has published in prestigious journals such as International Journal of Food Microbiology, Meat Science and FEMS Microbiology Letters.

In The Last Decade

Ylva Blixt

10 papers receiving 970 citations

Hit Papers

Bacterial spoilage of meat and cured meat products 1996 2026 2006 2016 1996 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ylva Blixt Sweden 8 600 543 347 247 202 10 1.0k
Maria Rasch Denmark 12 297 0.5× 599 1.1× 629 1.8× 227 0.9× 315 1.6× 12 1.3k
C.Z. Alvarado United States 22 935 1.6× 475 0.9× 209 0.6× 139 0.6× 200 1.0× 50 1.3k
K. G. Newton Australia 16 765 1.3× 591 1.1× 292 0.8× 148 0.6× 185 0.9× 20 1.0k
A. F. Egan Australia 19 561 0.9× 489 0.9× 395 1.1× 87 0.4× 114 0.6× 32 1.0k
D. L. Huffman United States 22 936 1.6× 585 1.1× 192 0.6× 99 0.4× 172 0.9× 55 1.2k
Melissa C. Newman United States 17 341 0.6× 374 0.7× 165 0.5× 144 0.6× 140 0.7× 28 1.1k
Tone Mari Rode Norway 17 296 0.5× 439 0.8× 464 1.3× 77 0.3× 391 1.9× 36 1.1k
C. Martins Portugal 13 478 0.8× 325 0.6× 138 0.4× 116 0.5× 119 0.6× 25 810
S. Stella Italy 19 326 0.5× 649 1.2× 344 1.0× 71 0.3× 374 1.9× 83 1.1k
Argenis Rodas‐González Canada 18 498 0.8× 278 0.5× 165 0.5× 149 0.6× 69 0.3× 104 902

Countries citing papers authored by Ylva Blixt

Since Specialization
Citations

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

Fields of papers citing papers by Ylva Blixt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ylva Blixt

This figure shows the co-authorship network connecting the top 25 collaborators of Ylva Blixt. A scholar is included among the top collaborators of Ylva Blixt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ylva Blixt. Ylva Blixt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Blixt, Ylva, Rickard Knutsson, Elisabeth Borch, & Peter Rådström. (2003). Interlaboratory random amplified polymorphic DNA typing of Yersinia enterocolitica and Y. enterocolitica-like bacteria. International Journal of Food Microbiology. 83(1). 15–26. 20 indexed citations
2.
Blixt, Ylva & Elisabeth Borch. (2002). Comparison of shelf life of vacuum-packed pork and beef. Meat Science. 60(4). 371–378. 112 indexed citations
3.
Knutsson, Rickard, Ylva Blixt, Halfdan Grage, Elisabeth Borch, & Peter Rådström. (2002). Evaluation of selective enrichment PCR procedures for Yersinia enterocolitica. International Journal of Food Microbiology. 73(1). 35–46. 31 indexed citations
4.
Blixt, Ylva & Elisabeth Borch. (1999). Using an electronic nose for determining the spoilage of vacuum-packaged beef. International Journal of Food Microbiology. 46(2). 123–134. 73 indexed citations
5.
Lantz, Pär-Gunnar, Rickard Knutsson, Ylva Blixt, et al.. (1998). Detection of pathogenic Yersinia enterocolitica in enrichment media and pork by a multiplex PCR: a study of sample preparation and PCR-inhibitory components. International Journal of Food Microbiology. 45(2). 93–105. 78 indexed citations
6.
Borch, Elisabeth, et al.. (1996). Bacterial spoilage of meat and cured meat products. International Journal of Food Microbiology. 33(1). 103–120. 688 indexed citations breakdown →
8.
Blixt, Ylva, Mikael Varga, & Einar Everitt. (1993). Enhancement of intracellular uncoating of adenovirus in HeLa cells in the presence of benzyl alcohol as a membrane fluidizer. Archives of Virology. 129(1-4). 265–277. 7 indexed citations
9.
Everitt, Einar, et al.. (1992). Antibody-mediated uncoating of adenovirus in vitro. FEMS Microbiology Letters. 98(1-3). 21–27. 13 indexed citations
10.
Blixt, Ylva, et al.. (1990). Cultivation of HeLa cells with fetal bovine serum or ultroser G: Effects on the plasma membrane constitution. In Vitro Cellular & Developmental Biology - Plant. 26(7). 691–700. 11 indexed citations

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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