Ágnes Donkó

1.1k citations
22 papers · 685 · h-index 13

Impact in

  • Immunology top 10%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation
    • Immune cells in cancer

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 17
    • Immune Response and Inflammation 5
    • Immunodeficiency and Autoimmune Disorders 3
    • Immune cells in cancer 2
    • Nitric Oxide and Endothelin Effects 8

Ágnes Donkó

20 papers receiving 682 citations

Peers

Ágnes Donkó
Comparison fields: 5 of 89
  • Immunology 294
  • Aging 12
  • Immunology and Allergy 38
  • Physiology 157
  • Neurology 37
Replace Éric Krump with:
Éric Krump Canada
Toshio Ota Japan
Doran W. Pearson United States
Huizhi Wang China
Stephen L. Carrithers United States
Hiroyuki Kanoh Japan
U Janssen-Timmen Germany
Amado Carreras‐Sureda Switzerland
Sarah Sayner United States
Kendra D. Martyn United States
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Citations per field
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Citations per year

Countries citing papers authored by Ágnes Donkó

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Donkó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005111
2 2016103
3 200987
4 201073
5 200763
6 201257
7 201634
8 201731
9 201325
10 201622
11 201921
12 201418
13 201816
14 20187
15 20094
16 20234
17 20193
18
[Reticulosarcoma in pregnancy].
19693
19 20252
20 20231

About Ágnes Donkó

Ágnes Donkó is a scholar working on Immunology, Physiology, Genetics, Molecular Biology and Neurology, having authored 22 papers that have together received 685 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (17 papers), Nitric Oxide and Endothelin Effects (8 papers), Immune Response and Inflammation (5 papers), Blood disorders and treatments (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Cell Adhesion Molecules Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (294 citations), Aging (12 citations), Immunology and Allergy (38 citations), Physiology (157 citations) and Neurology (37 citations). Ágnes Donkó has collaborated with scholars based in Hungary, United States and Finland. Frequent co-authors include Miklós Geiszt, Thomas L. Leto, Gábor Sirokmány, Zalán Péterfi, Anna Orient, Balázs Enyedi, Melinda Zana, Attila J. Szabó, Xavier De Deken and Zoltán Benyó. Their work appears in journals such as Free Radical Biology and Medicine, Redox Biology, The Journal of Immunology, Antioxidants and Redox Signaling and American Journal Of Pathology.

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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