Beata Kotowicz

744 citations
48 papers · 562 indexed · h-index 14

Impact in

Papers in

Beata Kotowicz

42 papers receiving 545 citations

Peers

Beata Kotowicz
Comparison fields: 5 of 77
  • Obstetrics and Gynecology 90
  • Microbiology 55
  • Oncology 232
  • Reproductive Medicine 66
  • Immunology 139
Replace Kosuke Hiramatsu with:
Kosuke Hiramatsu Japan
Bo Wook Kim South Korea
Tatsuya Kanuma Japan
Katharina Prieske Germany
M Kowalska Poland
Rosa Guarch Spain
P Bõsze Hungary
Takashi Miyatake Japan
E Kučera Austria
Louise De Brot Brazil
Beata Kotowicz relative to Kosuke Hiramatsu Japan Kosuke Hiramatsu's profile →
Citations per field
00.5×1.5×2.5×
Kosuke Hiramatsu · 1×
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-authorship network

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
#Work
1 20252
2 20250
3 20250
4 20242
5 20237
6 20232
7 20232
8 20226
9 20219
10 20201
11 201812
12 20186
13 201826
14 20180
15 20176
16 201412
17 20098
18
Clinical utility of complementary measurements standard tumor markers and cytokines in patients with cervical cancer
20061
19
The prognostic value of cytokine levels in patients with cancer
20064
20
Evaluation of the urinary nuclear matrix protein (NMP22) as a tumour marker in bladder cancer patients
20053

About Beata Kotowicz

Beata Kotowicz is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Oncology, Otorhinolaryngology and Immunology, having authored 48 papers that have together received 562 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (11 papers), Ovarian cancer diagnosis and treatment (7 papers), Inflammatory Biomarkers in Disease Prognosis (6 papers), Cervical Cancer and HPV Research (5 papers), Chemokine receptors and signaling (5 papers), Cancer Treatment and Pharmacology (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Obstetrics and Gynecology (90 citations), Microbiology (55 citations), Oncology (232 citations), Reproductive Medicine (66 citations) and Immunology (139 citations). Beata Kotowicz has collaborated with scholars based in Poland, Hungary and India. Frequent co-authors include Małgorzata Fuksiewicz, M Kowalska, Janina Kamińska, Joanna Jońska‐Gmyrek, Magdalena Chechlińska, Mariusz Bidziński, Maciej Głogowski, Jan Steffen, E. Wójcik and Tadeusz Pieńkowski. Their work appears in journals such as Tumor Biology, Cancers, Endocrine Connections, European Journal of Obstetrics & Gynecology and Reproductive Biology and Clinical Chemistry and Laboratory Medicine (CCLM).

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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2026