Anna Uryga

1.9k citations
32 papers · 1.4k · h-index 16

Impact in

Papers in

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

Anna Uryga

30 papers receiving 1.4k citations

Peers

Anna Uryga
Comparison fields: 5 of 95
  • Geriatrics and Gerontology 179
  • Aging 76
  • Immunology 324
  • Physiology 359
  • Biochemistry 70
Replace Alexander Akhmedov with:
Alexander Akhmedov Switzerland
Hyoung Chul Choi South Korea
Chunfen Mo China
Francisco J. Sánchez-Gómez Spain
Zhi‐Han Tang China
Francesca Orsini Italy
Jeremy DeRicco United States
Bon-Hong Min South Korea
Susan C. Olson United States
Qi‐Zhu Tang China
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Citations per field
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Alexander Akhmedov · 1×
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015291
2 2020186
3 2012152
4 2017139
5 2015125
6 201567
7 202160
8 201754
9 202152
10 201942
11 201842
12 202229
13 202028
14 201922
15 201918
16 201916
17 201814
18 202214
19 202213
20 202113

About Anna Uryga

Anna Uryga is a scholar working on Molecular Biology, Immunology, Physiology, Geriatrics and Gerontology and Pharmacology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Hops Chemistry and Applications (4 papers), Drug Transport and Resistance Mechanisms (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Geriatrics and Gerontology (179 citations), Aging (76 citations), Immunology (324 citations), Physiology (359 citations) and Biochemistry (70 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, Jorge D. Erusalimsky, Gareth Walters and Ana Cardus Figueras. Their work appears in journals such as Cardiovascular Research, Atherosclerosis, Biomedicine & Pharmacotherapy, The Journal of Membrane Biology 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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