Daria Augustyniak

1.5k citations
48 papers · 981 · h-index 18

Impact in

    • Microbial infections and disease research
    • Bacterial Infections and Vaccines
    • Antimicrobial Peptides and Activities
    • Antibiotic Resistance in Bacteria

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Bacterial Infections and Vaccines 6
    • Microbial infections and disease research 4
    • Antimicrobial Peptides and Activities 4

Daria Augustyniak

44 papers receiving 968 citations

Peers

Daria Augustyniak
Comparison fields: 5 of 114
  • Microbiology 282
  • Molecular Medicine 98
  • Ecology 402
  • Endocrinology 47
  • Molecular Biology 348
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D. Scott Snyder United States
Martina Valentini Switzerland
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Georg Fritz Germany
Loe de Leij Netherlands
Philippe Gabant Belgium
Kazushi Suzuki Japan
Dae-Gon Ha United States
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Citations per field
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Citations per year

Countries citing papers authored by Daria Augustyniak

Since Specialization
Citations

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

Fields of papers citing papers by Daria Augustyniak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013119
2 201582
3 201173
4 201260
5 201850
6 201549
7 200344
8 202240
9 201538
10 201937
11 201535
12 201030
13 201528
14 201827
15 201625
16 201220
17 202019
18 201817
19 201717
20 201417

About Daria Augustyniak

Daria Augustyniak is a scholar working on Molecular Biology, Microbiology, Epidemiology, Ecology and Immunology, having authored 48 papers that have together received 981 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (9 papers), Pneumonia and Respiratory Infections (7 papers), Bacterial Infections and Vaccines (6 papers), Microbial infections and disease research (4 papers), Antimicrobial Peptides and Activities (4 papers), Immune Cell Function and Interaction (3 papers), Neuropeptides and Animal Physiology (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Microbiology (282 citations), Molecular Medicine (98 citations), Ecology (402 citations), Endocrinology (47 citations) and Molecular Biology (348 citations). Daria Augustyniak has collaborated with scholars based in Poland, Belgium and United States. Frequent co-authors include Zuzanna Drulis‐Kawa, Grażyna Majkowska-Skrobek, Judyta Nowak, Tomasz Olszak, Fionnuala T. Lundy, Beata Weber‐Dąbrowska, Andrew M. Kropinski, Paweł Mackiewicz, Agata Dorotkiewicz‐Jach and Bogusław Pawłowski. Their work appears in journals such as International Journal of Molecular Sciences, Applied Microbiology and Biotechnology, BioMed Research International, Carbohydrate Polymers 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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