Beata Chrapko

41 papers receiving 278 citations

Peers

Beata Chrapko
Comparison fields: 5 of 59
  • Nephrology 16
  • Endocrinology, Diabetes and Metabolism 29
  • Pulmonary and Respiratory Medicine 55
  • Psychiatry and Mental health 23
  • Cardiology and Cardiovascular Medicine 31
Replace Şakir Berkarda with:
Şakir Berkarda Türkiye
Kyusik Kang South Korea
Huan-Lin Hsu Taiwan
Ruihua Cao China
Nathalie Sala Switzerland
Georgia Keramida United Kingdom
Andrea Rocco Germany
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Citations per year

Countries citing papers authored by Beata Chrapko

Since Specialization
Citations

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

Fields of papers citing papers by Beata Chrapko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201849
2 201633
3 201517
4 200717
5 201213
6 201312
7 202011
8
Low-T3 syndrome and signal-averaged ECG in haemodialysed patients.
200511
9
99mTc-EDDA/HYNIC-TOC somatostatin receptor scintigraphy in daily clinical practice.
201010
10 200510
11 20198
12 20117
13 20205
14 20115
15 20085
16 20115
17 20145
18 20205
19 20114
20 20164

About Beata Chrapko

Beata Chrapko is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 43 papers that have together received 285 indexed citations. Recurring topics across this work include Infectious Aortic and Vascular Conditions (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Cardiac Imaging and Diagnostics (4 papers), Soft tissue tumor case studies (3 papers), Thyroid Disorders and Treatments (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Medical Imaging and Pathology Studies (3 papers) and Parathyroid Disorders and Treatments (2 papers). The work is most often cited by research in Nephrology (16 citations), Endocrinology, Diabetes and Metabolism (29 citations), Pulmonary and Respiratory Medicine (55 citations), Psychiatry and Mental health (23 citations) and Cardiology and Cardiovascular Medicine (31 citations). Beata Chrapko has collaborated with scholars based in Poland, United States and Pakistan. Frequent co-authors include Krystyna Mitosek‐Szewczyk, Maciej Ga̧sior, Iwona Żarnowska, Tomasz Zubilewicz, Andrzej Drop, Andrzej Jaroszyński, Maria Majdan, Robert M. Zwolak, Andrzej Książek and Andrzej Główniak. Their work appears in journals such as Nuclear Medicine Communications, SoftwareX, Physiological Research, Xenotransplantation and Rheumatology International.

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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