Beata Franczyk

5.0k citations
130 papers · 3.0k indexed · 4 hit papers · h-index 29

Impact in

Papers in

Beata Franczyk

122 papers receiving 2.9k citations

Hit Papers

Type 2 Diabetes Mellitus: New Pathogenetic Mechanisms, Treatment and the Most Important Complications 2025 · 46 citations
46202120262022202450100150

Peers

Beata Franczyk
Comparison fields: 5 of 136
  • Nephrology 605
  • Biological Psychiatry 77
  • Endocrinology, Diabetes and Metabolism 434
  • Cardiology and Cardiovascular Medicine 516
  • Physiology 461
Replace Tanja B. Grammer with:
Tanja B. Grammer Germany
Anna Gluba-Brzózka Poland
Marcus E. Kleber Germany
Cheol Whee Park South Korea
Yoon Sik Chang South Korea
Chia‐Chao Wu Taiwan
Seok Joon Shin South Korea
Chien‐Ning Hsu Taiwan
Jutta Dierkes Norway
Di Xie China
Beata Franczyk relative to Tanja B. Grammer Germany Tanja B. Grammer's profile →
Citations per field
00.5×5.5×
Tanja B. Grammer · 1×
Citations per year

Countries citing papers authored by Beata Franczyk

Since Specialization
Citations

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

Fields of papers citing papers by Beata Franczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
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20 202016

About Beata Franczyk

Beata Franczyk is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Biological Psychiatry and Physiology, having authored 130 papers that have together received 3.0k indexed citations. Recurring topics across this work include Diet and metabolism studies (18 papers), Dialysis and Renal Disease Management (16 papers), Lipoproteins and Cardiovascular Health (13 papers), Diabetes Treatment and Management (12 papers), Chronic Kidney Disease and Diabetes (10 papers), Gut microbiota and health (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Nephrology (605 citations), Biological Psychiatry (77 citations), Endocrinology, Diabetes and Metabolism (434 citations), Cardiology and Cardiovascular Medicine (516 citations) and Physiology (461 citations). Beata Franczyk has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Jacek Rysz, Anna Gluba-Brzózka, Ewelina Młynarska, Aleksandra Ciałkowska-Rysz, Janusz Ławiński, Robert Olszewski, Magdalena Rysz-Górzyńska, Maciej Banach, Jacek Rysz and Weronika Frąk. Their work appears in journals such as International Journal of Molecular Sciences, Biomedicines, Nutrients, Antioxidants and Current Pharmaceutical Design.

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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