Anna Bajek

1.8k citations
81 papers · 1.4k · h-index 21

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications
    • Collagen: Extraction and Characterization
    • Nanoparticle-Based Drug Delivery

Papers in

    • Tissue Engineering and Regenerative Medicine 18
    • Mesenchymal stem cell research 18

Anna Bajek

77 papers receiving 1.3k citations

Peers

Anna Bajek
Comparison fields: 5 of 151
  • Genetics 250
  • Biomaterials 288
  • Urology 84
  • Molecular Medicine 57
  • Health 77
Replace Karl Kingsley with:
Karl Kingsley United States
Joanne T. M. Tan Australia
L.V.K.S. Bhaskar India
Yifan Song China
Jianda Zhou China
Yihan Liu China
Guan Jiang China
Pablo Álvarez Spain
Meijuan Huang China
Uma Maheswari Krishnan India
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Citations per field
00.5×5.2×
Karl Kingsley · 1×
Citations per year

Countries citing papers authored by Anna Bajek

Since Specialization
Citations

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

Fields of papers citing papers by Anna Bajek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020140
2 2016139
3 202099
4 202192
5 202067
6 201647
7 201543
8
The influence of ciprofloxacin on viability of A549, HepG2, A375.S2, B16 and C6 cell lines in vitro.
201138
9 202334
10 201632
11 201428
12 201226
13 201225
14 201324
15 201523
16 202023
17 201622
18 201821
19 201521
20 201120

About Anna Bajek

Anna Bajek is a scholar working on Surgery, Genetics, Molecular Biology, Biomaterials and Oncology, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (18 papers), Tissue Engineering and Regenerative Medicine (18 papers), Cancer Cells and Metastasis (9 papers), Urological Disorders and Treatments (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Collagen: Extraction and Characterization (5 papers), Nanoparticle-Based Drug Delivery (4 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Genetics (250 citations), Biomaterials (288 citations), Urology (84 citations), Molecular Medicine (57 citations) and Health (77 citations). Anna Bajek has collaborated with scholars based in Poland, Spain and Belgium. Frequent co-authors include Tomasz Drewa, Krzysztof Roszkowski, Małgorzata Maj, Joanna Olkowska, Bartosz Tylkowski, Natalia Gurtowska, Oliwia Kowalczyk, Xavier Montané, Łukasz Kaźmierski and Wojciech Pawliszak. Their work appears in journals such as Journal of Cellular Biochemistry, Molecules, Materials, Journal of Religion and Health and Scientific Reports.

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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