Katarzyna Polonis

508 citations
29 papers · 246 · h-index 10

Impact in

Papers in

Katarzyna Polonis

25 papers receiving 241 citations

Peers

Katarzyna Polonis
Comparison fields: 5 of 65
  • Endocrine and Autonomic Systems 18
  • Physiology 61
  • Aging 4
  • Cardiology and Cardiovascular Medicine 39
  • Endocrinology, Diabetes and Metabolism 26
Replace Giuseppina Iannelli with:
Giuseppina Iannelli Italy
Takuro Matsumura Japan
Sébastien Boni France
Chao-Chien Hu Taiwan
Polona Jaki Mekjavič Slovenia
Krizia Tuand Belgium
Shani T. Gal-Oz Israel
Antoinette Olivas United States
Asude Durmaz Türkiye
Brian G. Poll United States
Katarzyna Polonis relative to Giuseppina Iannelli Italy Giuseppina Iannelli's profile →
Citations per field
00.5×3.3×
Giuseppina Iannelli · 1×
Citations per year

Countries citing papers authored by Katarzyna Polonis

Since Specialization
Citations

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

Fields of papers citing papers by Katarzyna Polonis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201238
2 202035
3 201833
4 202019
5 202017
6 201914
7 201714
8 201712
9 201911
10 201810
11 20188
12 20207
13 20255
14 20204
15 20233
16 20243
17 20242
18 20242
19 20182
20 20172

About Katarzyna Polonis

Katarzyna Polonis is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Genetics, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 246 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (5 papers), Nutritional Studies and Diet (4 papers), Adipose Tissue and Metabolism (3 papers), Genetic Syndromes and Imprinting (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Blood Pressure and Hypertension Studies (3 papers), Genomics and Rare Diseases (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (18 citations), Physiology (61 citations), Aging (4 citations), Cardiology and Cardiovascular Medicine (39 citations) and Endocrinology, Diabetes and Metabolism (26 citations). Katarzyna Polonis has collaborated with scholars based in United States, Poland and Brazil. Frequent co-authors include Christiane Becari, Prachi Singh, Krzysztof Narkiewicz, Todd A. Kellogg, Alina M. Allen, Yuebo Zhang, Virend K. Somers, Naima Covassin, Marzena Chrostowska and Michał Hoffmann. Their work appears in journals such as Journal of Hypertension, Clinical Genetics, The FASEB Journal, Scientific Reports and Frontiers in Neuroscience.

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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