Olga Świder

460 citations
28 papers · 335 · h-index 12

Impact in

Papers in

    • Polyamine Metabolism and Applications 12
    • Protein Hydrolysis and Bioactive Peptides 3
    • Salmonella and Campylobacter epidemiology 3

Olga Świder

24 papers receiving 331 citations

Peers

Olga Świder
Comparison fields: 5 of 51
  • Food Science 134
  • Animal Science and Zoology 59
  • Endocrinology 29
  • Molecular Medicine 20
  • Ecology 82
Replace Michał Wójcicki with:
Michał Wójcicki Poland
Chaolan Liu China
Nathalie Connil France
Paola Zinno Italy
Vincenzo Fallico Ireland
Laura Musa Italy
Biserka Becker Germany
Mengtong Sun China
Mitsuru Katase Japan
Yasuko Sasaki Japan
Olga Świder relative to Michał Wójcicki Poland Michał Wójcicki's profile →
Citations per field
00.5×1.5×1.8×
Michał Wójcicki · 1×
Citations per year

Countries citing papers authored by Olga Świder

Since Specialization
Citations

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

Fields of papers citing papers by Olga Świder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201985
2 202029
3 202124
4 202123
5 202318
6 202218
7 202317
8 202316
9 202316
10 202214
11 202111
12 202111
13 20229
14 20248
15 20237
16 20235
17 20234
18 20214
19 20214
20 20233

About Olga Świder

Olga Świder is a scholar working on Molecular Biology, Food Science, Animal Science and Zoology, Ecology and Biotechnology, having authored 28 papers that have together received 335 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (12 papers), Meat and Animal Product Quality (6 papers), Bacteriophages and microbial interactions (6 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Advanced Chemical Sensor Technologies (3 papers), Vibrio bacteria research studies (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Food Science (134 citations), Animal Science and Zoology (59 citations), Endocrinology (29 citations), Molecular Medicine (20 citations) and Ecology (82 citations). Olga Świder has collaborated with scholars based in Poland and Denmark. Frequent co-authors include Marek Roszko, Michał Wójcicki, Krystyna Szymczyk, Barbara Sokołowska, Edyta Juszczuk‐Kubiak, Paulina Średnicka, Stanisław Błażejak, Monika Kowalczyk, Lech Adamczak and Tomasz Florowski. Their work appears in journals such as Applied Sciences, Pathogens, LWT, International Journal of Molecular Sciences and Viruses.

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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