Beata Biesaga

41 papers receiving 391 citations

Peers

Beata Biesaga
Comparison fields: 5 of 60
  • Otorhinolaryngology 41
  • Cancer Research 74
  • Radiology, Nuclear Medicine and Imaging 98
  • Oncology 90
  • Pulmonary and Respiratory Medicine 78
Replace K. Matsuura with:
K. Matsuura Japan
Eyad Abu‐Isa United States
Yecai Huang China
Robert Yang United States
L Turnbull United Kingdom
C. Lund Canada
Bok Ai Choo Singapore
Hiromasa Fujita Japan
Fredrika Killander Sweden
Jan Palm Germany
Beata Biesaga relative to K. Matsuura Japan K. Matsuura's profile →
Citations per field
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K. Matsuura · 1×
Citations per year

Countries citing papers authored by Beata Biesaga

Since Specialization
Citations

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

Fields of papers citing papers by Beata Biesaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200738
2 202032
3
Clinical and Molecular Features of Laron Syndrome, A Genetic Disorder Protecting from Cancer.
201731
4 200819
5 201417
6 201217
7 201716
8 202215
9 200612
10 201612
11 201411
12 200711
13
Prognostic role of lymphatic vessel density and lymphovascular invasion in chemotherapy-naive and chemotherapy-treated patients with invasive breast cancer.
201711
14 199911
15 200710
16 201510
17 201710
18 20129
19 20179
20 20149

About Beata Biesaga

Beata Biesaga is a scholar working on Molecular Biology, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 44 papers that have together received 401 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (8 papers), Head and Neck Cancer Studies (7 papers), Cervical Cancer and HPV Research (5 papers), Radiation Therapy and Dosimetry (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Molecular Biology Techniques and Applications (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Otorhinolaryngology (41 citations), Cancer Research (74 citations), Radiology, Nuclear Medicine and Imaging (98 citations), Oncology (90 citations) and Pulmonary and Respiratory Medicine (78 citations). Beata Biesaga has collaborated with scholars based in Poland, Hungary and Italy. Frequent co-authors include Dorota Słonina, Anna Janecka, Zbigniew Kojs, Krzysztof Urbański, Anna Mucha-Małecka, Anna Gasińska, Joanna Niemiec, Marek Ziobro, Agnieszka Adamczyk and Sława Szostek. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Journal of Gastrointestinal Surgery, DNA repair and Radiation Research.

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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