Ylva Persson

58 papers receiving 1.6k citations

Peers

Ylva Persson
Comparison fields: 5 of 117
  • Agronomy and Crop Science 725
  • Microbiology 263
  • Pollution 371
  • Health, Toxicology and Mutagenesis 371
  • Food Science 473
Replace M. Gillis with:
M. Gillis Belgium
James E. Wells United States
Shelton E. Murinda United States
Sharon Huws United Kingdom
Tongjie Chai China
L. Brent Selinger Canada
Fernando González Spain
Maria A. Andersson Finland
Pablo Vinuesa Mexico
Aniello Anastasio Italy
Ylva Persson relative to M. Gillis Belgium M. Gillis's profile →
Citations per field
00.5×2.6×
M. Gillis · 1×
Citations per year

Countries citing papers authored by Ylva Persson

Since Specialization
Citations

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

Fields of papers citing papers by Ylva Persson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007162
2 2011132
3 2011110
4 200692
5 201186
6 201385
7 200884
8 201482
9 200959
10 201959
11 200658
12 201147
13 200836
14 200435
15 201330
16 200730
17 200629
18 200829
19 202027
20 200626

About Ylva Persson

Ylva Persson is a scholar working on Agronomy and Crop Science, Food Science, Microbiology, Pollution and Health, Toxicology and Mutagenesis, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (26 papers), Microbial infections and disease research (14 papers), Probiotics and Fermented Foods (13 papers), Toxic Organic Pollutants Impact (12 papers), Microbial bioremediation and biosurfactants (11 papers), Genetic and phenotypic traits in livestock (7 papers), Animal Behavior and Welfare Studies (7 papers) and Groundwater flow and contamination studies (5 papers). The work is most often cited by research in Agronomy and Crop Science (725 citations), Microbiology (263 citations), Pollution (371 citations), Health, Toxicology and Mutagenesis (371 citations) and Food Science (473 citations). Ylva Persson has collaborated with scholars based in Sweden, Bangladesh and Italy. Frequent co-authors include Staffan Lundstedt, Mats Tysklind, Lars Öberg, Karin Persson Waller, Ann-Kristin Nyman, Renée Båge, Peter Haglund, L. Söderquist, Jan Stenlid and Katarina Ihrmark. Their work appears in journals such as Acta veterinaria Scandinavica, Small Ruminant Research, Journal of Dairy Science, Tropical Animal Health and Production and Chemosphere.

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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