Ágnes Donkó

1.0k citations
22 papers · 684 · h-index 13

Impact in

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

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 18
    • Immune Response and Inflammation 5
    • Immunodeficiency and Autoimmune Disorders 3
    • Nitric Oxide and Endothelin Effects 10

Ágnes Donkó

21 papers receiving 681 citations

Peers

Ágnes Donkó
Comparison fields: 5 of 93
  • Immunology 307
  • Immunology and Allergy 43
  • Aging 12
  • Physiology 177
  • Neurology 39
Replace Jlenia Monfregola with:
Jlenia Monfregola Italy
Éric Krump Canada
Toshio Ota Japan
Doran W. Pearson United States
Huizhi Wang China
Jin Yao United States
Amado Carreras‐Sureda Switzerland
Motoko Ohnishi Japan
Peng Yuan China
Hiroyuki Kanoh Japan
Ágnes Donkó relative to Jlenia Monfregola Italy Jlenia Monfregola's profile →
Citations per field
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Jlenia Monfregola · 1×
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 201729
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 20221

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 684 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (18 papers), Nitric Oxide and Endothelin Effects (10 papers), Immune Response and Inflammation (5 papers), Blood disorders and treatments (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers) and Redox biology and oxidative stress (2 papers). The work is most often cited by research in Immunology (307 citations), Immunology and Allergy (43 citations), Aging (12 citations), Physiology (177 citations) and Neurology (39 citations). Ágnes Donkó has collaborated with scholars based in Hungary, United States and Belarus. Frequent co-authors include Miklós Geiszt, Thomas L. Leto, Gábor Sirokmány, Zalán Péterfi, Anna Orient, Balázs Enyedi, Attila J. Szabó, Xavier De Deken, Zoltán Benyó and Éva Rajnavölgyi. Their work appears in journals such as Free Radical Biology and Medicine, Redox Biology, The Journal of Immunology, Frontiers in Pediatrics and Cardiovascular Research.

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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