Ágnes Csiszár

1.2k citations
38 papers · 914 indexed · h-index 16

Impact in

Papers in

Ágnes Csiszár

35 papers receiving 907 citations

Peers

Ágnes Csiszár
Comparison fields: 5 of 105
  • Biomaterials 182
  • Geriatrics and Gerontology 41
  • Molecular Biology 612
  • Cell Biology 117
  • Pharmaceutical Science 34
Replace Abdollah Allahverdi with:
Abdollah Allahverdi Iran
Martin Stöckl Germany
Desiree A. Thayer United States
Takuma Tsuji Japan
Vladimir N. Potaman United States
Anders Gunnarsson Sweden
Katrin Weise Germany
Xiaohan Zhang China
Lali K. Medina‐Kauwe United States
Ágnes Csiszár relative to Abdollah Allahverdi Iran Abdollah Allahverdi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ágnes Csiszár

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Csiszár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20237
3 20223
4 202212
5 20222
6 202113
7 201927
8 201923
9 201817
10 201885
11 2017128
12 201511
13 201314
14 201094
15 200912
16 200627
17 200626
18 200421
19 200330
20 200314

About Ágnes Csiszár

Ágnes Csiszár is a scholar working on Cell Biology, Geriatrics and Gerontology, Developmental Neuroscience, Molecular Biology and Pharmaceutical Science, having authored 38 papers that have together received 914 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (16 papers), RNA Interference and Gene Delivery (15 papers), Advanced biosensing and bioanalysis techniques (10 papers), Force Microscopy Techniques and Applications (3 papers), Cellular Mechanics and Interactions (3 papers), Advancements in Transdermal Drug Delivery (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Biomaterials (182 citations), Geriatrics and Gerontology (41 citations), Molecular Biology (612 citations), Cell Biology (117 citations) and Pharmaceutical Science (34 citations). Ágnes Csiszár has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Rudolf Merkel, Bernd Hoffmann, Nils Hersch, Christian Kleusch, Sabine Dieluweit, T. Braun, Elena Naumovska, Ralf Biehl, Maria Leptin and Erwin Klumpp. Their work appears in journals such as International Journal of Molecular Sciences, Langmuir, Chemistry and Physics of Lipids, Molecular and Cellular Biology and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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