Ágnes Simonyi

7.8k citations
97 papers · 6.8k · h-index 45

Impact in

    • Sirtuins and Resveratrol in Medicine
  • Neurology top 0.5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments

Papers in

Ágnes Simonyi

97 papers receiving 6.6k citations

Peers

Ágnes Simonyi
Comparison fields: 5 of 130
  • Geriatrics and Gerontology 656
  • Neurology 1.4k
  • Biological Psychiatry 292
  • Cellular and Molecular Neuroscience 1.4k
  • Biochemistry 459
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Mercè Pallàs Spain
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Citations per field
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Citations per year

Countries citing papers authored by Ágnes Simonyi

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Simonyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002470
2 2004326
3 2005316
4 2010287
5 2002277
6 2008255
7 2017233
8 2005215
9 2006214
10 2008193
11 2008189
12 2009160
13 2015154
14 2011145
15 2005137
16 2006121
17 2015112
18 2004104
19 2003103
20 201398

About Ágnes Simonyi

Ágnes Simonyi is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Cognitive Neuroscience, having authored 97 papers that have together received 6.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (31 papers), Alzheimer's disease research and treatments (13 papers), Neurological Disease Mechanisms and Treatments (11 papers), Memory and Neural Mechanisms (11 papers), Sirtuins and Resveratrol in Medicine (7 papers), Phytochemicals and Antioxidant Activities (6 papers) and Mitochondrial Function and Pathology (6 papers). The work is most often cited by research in Geriatrics and Gerontology (656 citations), Neurology (1.4k citations), Biological Psychiatry (292 citations), Cellular and Molecular Neuroscience (1.4k citations) and Biochemistry (459 citations). Ágnes Simonyi has collaborated with scholars based in United States, Hungary and Poland. Frequent co-authors include Grace Y. Sun, Albert Y. Sun, Michael Dam Jensen, Zezong Gu, George E. Rottinghaus, Jianfeng Xu, Qun Wang, Phullara B. Shelat, Todd R. Schachtman and Gary A. Weisman. Their work appears in journals such as Molecular Neurobiology, Behavioural Brain Research, Brain Research, Journal of Neurochemistry and Alcoholism Clinical and Experimental 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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