Beata Kotowicz

755 citations
48 papers · 571 · h-index 14

Impact in

Papers in

    • Cancer Treatment and Pharmacology 4
    • Inflammatory Biomarkers in Disease Prognosis 4
    • Studies on Chitinases and Chitosanases 3

Beata Kotowicz

45 papers receiving 552 citations

Peers

Beata Kotowicz
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 64
  • Microbiology 55
  • Oncology 161
  • Reproductive Medicine 40
  • Immunology 102
Replace Bo Wook Kim with:
Bo Wook Kim South Korea
Ayako Suzuki Japan
M Kowalska Poland
P. Dohrmann Germany
Arto Leminen Finland
Min Sung An South Korea
Hyo‐Pyo Lee South Korea
Dimitrios Avgoustidis Greece
Ioannis G. Panayiotides Greece
Shiho Asaka Japan
Beata Kotowicz relative to Bo Wook Kim South Korea Bo Wook Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Beata Kotowicz

Since Specialization
Citations

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

Fields of papers citing papers by Beata Kotowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beata Kotowicz, 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 Beata Kotowicz Line = papers co-authored together Beata Kotowicz 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 2006104
2
Ureaplasma urealyticum and Mycoplasma hominis infection in women with urogenital diseases.
200651
3 201534
4 201530
5 201827
6 201725
7 200623
8 201821
9 200819
10 201718
11 201018
12 201416
13 201816
14 201013
15 201813
16 201812
17 201412
18 201110
19 201010
20 201510

About Beata Kotowicz

Beata Kotowicz is a scholar working on Oncology, Molecular Biology, Obstetrics and Gynecology, Reproductive Medicine and Epidemiology, having authored 48 papers that have together received 571 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (8 papers), Ovarian cancer diagnosis and treatment (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Cancer Treatment and Pharmacology (4 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Studies on Chitinases and Chitosanases (3 papers), Cervical Cancer and HPV Research (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Obstetrics and Gynecology (64 citations), Microbiology (55 citations), Oncology (161 citations), Reproductive Medicine (40 citations) and Immunology (102 citations). Beata Kotowicz has collaborated with scholars based in Poland, Hungary and India. Frequent co-authors include M Kowalska, Janina Kamińska, Joanna Jońska‐Gmyrek, Magdalena Chechlińska, Mariusz Bidziński, E. Wójcik, Maciej Głogowski, Jan Steffen, Michał Wągrodzki and Tadeusz Pieńkowski. Their work appears in journals such as Tumor Biology, Cancers, International Journal of Gynecological Cancer, PLoS ONE and Endocrine Connections.

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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