Anna Uryga

1.8k citations
31 papers · 1.3k · h-index 16

Impact in

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 7
    • Atherosclerosis and Cardiovascular Diseases 5
    • Toxin Mechanisms and Immunotoxins 4

Anna Uryga

30 papers receiving 1.3k citations

Peers

Anna Uryga
Comparison fields: 5 of 99
  • Geriatrics and Gerontology 183
  • Aging 74
  • Immunology 351
  • Biochemistry 84
  • Physiology 358
Replace Alexander Akhmedov with:
Alexander Akhmedov Switzerland
Hyoung Chul Choi South Korea
Francesca Orsini Italy
Bon-Hong Min South Korea
Zhi‐Han Tang China
Sokrates Stein Switzerland
Jeremy DeRicco United States
Ilwola Mattagajasingh United States
Qi‐Zhu Tang China
Susan C. Olson United States
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Citations per field
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Citations per year

Countries citing papers authored by Anna Uryga

Since Specialization
Citations

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

Fields of papers citing papers by Anna Uryga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015275
2 2020173
3 2012143
4 2017135
5 2015118
6 201566
7 202155
8 201753
9 202147
10 201840
11 201938
12 202228
13 202028
14 201921
15 201917
16 201915
17 201813
18 201513
19 202112
20 202211

About Anna Uryga

Anna Uryga is a scholar working on Molecular Biology, Immunology, Physiology, Geriatrics and Gerontology and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Telomeres, Telomerase, and Senescence (7 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Antioxidant Activity and Oxidative Stress (4 papers), Hops Chemistry and Applications (4 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Geriatrics and Gerontology (183 citations), Aging (74 citations), Immunology (351 citations), Biochemistry (84 citations) and Physiology (358 citations). Anna Uryga has collaborated with scholars based in United Kingdom, Poland and Italy. Frequent co-authors include Martin R. Bennett, Alison Finigan, Nichola Figg, Kelly Gray, Mandy O. J. Grootaert, Johannes Reinhold, Krystyna Michalak, Gareth Walters, Ana Cardus Figueras and Jorge D. Erusalimsky. Their work appears in journals such as Cardiovascular Research, Atherosclerosis, The Journal of Membrane Biology, Biomedicine & Pharmacotherapy and Arteriosclerosis Thrombosis and Vascular Biology.

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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