Anna Csiszár

29.1k total citations · 5 hit papers
312 papers, 21.5k citations indexed

About

Anna Csiszár is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Anna Csiszár has authored 312 papers receiving a total of 21.5k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Physiology, 75 papers in Molecular Biology and 74 papers in Neurology. Recurrent topics in Anna Csiszár's work include Neurological Disease Mechanisms and Treatments (43 papers), Neuroinflammation and Neurodegeneration Mechanisms (39 papers) and Adipose Tissue and Metabolism (36 papers). Anna Csiszár is often cited by papers focused on Neurological Disease Mechanisms and Treatments (43 papers), Neuroinflammation and Neurodegeneration Mechanisms (39 papers) and Adipose Tissue and Metabolism (36 papers). Anna Csiszár collaborates with scholars based in United States, Hungary and United Kingdom. Anna Csiszár's co-authors include Zoltán Ungvári, Stefano Tarantini, William E. Sonntag, Ákos Koller, Nazar Labinskyy, Péter Tóth, Rafael de Cabo, Gabor Kaley, Andriy Yabluchanskiy and Praveen Ballabh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.

In The Last Decade

Anna Csiszár

309 papers receiving 21.3k citations

Hit Papers

Mechanisms of Vascular Aging 2016 2026 2019 2022 2018 2016 2021 2024 2024 200 400 600

Peers

Anna Csiszár
Comparison fields: 5 of 171
  • Physiology 6.5k
  • Molecular Biology 6.1k
  • Neurology 3.7k
  • Cardiology and Cardiovascular Medicine 3.2k
  • Epidemiology 2.3k
Replace Zoltán Ungvári with:
Zoltán Ungvári United States
Ulrich Förstermann Germany
Christiaan Leeuwenburgh United States
Takanari Kitazono Japan
Michael R. Duchen United Kingdom
Rafael de Cabo United States
Paul T. Schumacker United States
Antero Salminen Finland
Christopher G. Sobey Australia
Pak H. Chan United States
Zoltán Ungvári United States View profile →
Citations per field, relative to Anna Csiszár
Anna Csiszár · 1×
Citations per year, relative to Anna Csiszár
Anna Csiszár · 1×

Countries citing papers authored by Anna Csiszár

Since Specialization
Citations

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

Fields of papers citing papers by Anna Csiszár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Csiszár

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Csiszár. A scholar is included among the top collaborators of Anna Csiszár based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Csiszár. Anna Csiszár is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 7
3 0
4 0
5 3
6 8
7 18
8 10
9 19
10 3
11 21
12 5
13 16
14 15
15 24
16 7
17 24
18 215
19 11
20 174

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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2026