Ágnes Simonyi

7.8k citations
96 papers · 6.4k indexed · h-index 43

Impact in

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

Papers in

Ágnes Simonyi

96 papers receiving 6.3k citations

Peers

Ágnes Simonyi
Comparison fields: 5 of 130
  • Neurology 1.5k
  • Geriatrics and Gerontology 645
  • Biological Psychiatry 300
  • Cellular and Molecular Neuroscience 1.5k
  • Biochemistry 437
Replace Albert Y. Sun with:
Albert Y. Sun United States
Ana I. Rojo Spain
Gemma Casadesús United States
Lap Ho United States
Mercè Pallàs Spain
Christianne Gazzana Salbego Brazil
Anil Kumar India
Masamitsu Shimazawa Japan
Nady Braidy Australia
A. Cristina Rego Portugal
Ágnes Simonyi relative to Albert Y. Sun United States Albert Y. Sun's profile →
Citations per field
00.5×1.6×
Albert Y. Sun · 1×
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-authorship network

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
#Work
1 201617
2 201638
3 201540
4 201424
5 201468
6 201396
7 20137
8 201163
9 201135
10 201152
11 201042
12 200937
13 200926
14 2008187
15 200760
16 200548
17 2004102
18 200398
19 2002255
20 19885

About Ágnes Simonyi

Ágnes Simonyi is a scholar working on Neurology, Cellular and Molecular Neuroscience, Biochemistry, Geriatrics and Gerontology and Biological Psychiatry, having authored 96 papers that have together received 6.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (33 papers), Neuroscience and Neuropharmacology Research (32 papers), Neurological Disease Mechanisms and Treatments (14 papers), Alzheimer's disease research and treatments (13 papers), Memory and Neural Mechanisms (12 papers), Sirtuins and Resveratrol in Medicine (7 papers), Biochemical Analysis and Sensing Techniques (7 papers) and Phytochemicals and Antioxidant Activities (6 papers). The work is most often cited by research in Neurology (1.5k citations), Geriatrics and Gerontology (645 citations), Biological Psychiatry (300 citations), Cellular and Molecular Neuroscience (1.5k citations) and Biochemistry (437 citations). Ágnes Simonyi has collaborated with scholars based in United States, Hungary and Italy. Frequent co-authors include Grace Y. Sun, Albert Y. Sun, Michael Dam Jensen, Zezong Gu, George E. Rottinghaus, Qun Wang, Jianfeng Xu, Todd R. Schachtman, Phullara B. Shelat and Gary A. Weisman. Their work appears in journals such as Behavioural Brain Research, Molecular Neurobiology, Alcoholism Clinical and Experimental Research, Journal of Neurochemistry and Brain 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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