Anna Staroń

860 citations
12 papers · 681 indexed · h-index 8

Impact in

Papers in

    • Bacterial Genetics and Biotechnology 10
    • Genomics and Phylogenetic Studies 4
    • RNA and protein synthesis mechanisms 2
    • Bacterial biofilms and quorum sensing 1

Anna Staroń

12 papers receiving 672 citations

Peers

Anna Staroń
Comparison fields: 5 of 75
  • Molecular Medicine 89
  • Microbiology 84
  • Endocrinology 59
  • Genetics 310
  • Ecology 162
Replace Sina Jordan with:
Sina Jordan Germany
Anna‐Barbara Hachmann United States
TuAnh N. Huynh United States
Heidi Hyytiäinen Finland
Roberto Balbontín Spain
Diego González Switzerland
María Eugenia Castelli Argentina
Falk Kalamorz New Zealand
Rita E. Monson United Kingdom
Dev K. Ranjit United States
Anna Staroń relative to Sina Jordan Germany Sina Jordan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anna Staroń

Since Specialization
Citations

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

Fields of papers citing papers by Anna Staroń

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2009313
2 2011126
3 201090
4 201040
5 201335
6 201232
7 202119
8 201411
9 20167
10 20105
11
Nadprodukcja i oczyszczanie rekombinowanych, heterologicznych bialek w komorkach Escherichia coli
20082
12 20131

About Anna Staroń

Anna Staroń is a scholar working on Genetics, Molecular Biology, Ecology, Microbiology and Food Science, having authored 12 papers that have together received 681 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), Genomics and Phylogenetic Studies (4 papers), Bacteriophages and microbial interactions (3 papers), Antimicrobial Peptides and Activities (3 papers), RNA and protein synthesis mechanisms (2 papers), Bacterial biofilms and quorum sensing (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Salmonella and Campylobacter epidemiology (1 paper). The work is most often cited by research in Molecular Medicine (89 citations), Microbiology (84 citations), Endocrinology (59 citations), Genetics (310 citations) and Ecology (162 citations). Anna Staroń has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Thorsten Mascher, Luke E. Ulrich, Heidi J. Sofia, Heiko Liesegang, Sascha Dietrich, Susanne Gebhard, Sebastian Dintner, Tobias Petri, Manuel Zúñiga and Cristina Alcántara. Their work appears in journals such as Molecular Microbiology, Journal of Bacteriology, Applied and Environmental Microbiology, Antimicrobial Agents and Chemotherapy and eLife.

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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