Anna Sárközy

10.1k citations
91 papers · 2.9k · h-index 30

Impact in

  • Immunology top 5%
    • Galectins and Cancer Biology
    • Protein Tyrosine Phosphatases
    • Congenital heart defects research
    • Muscle Physiology and Disorders
    • RNA modifications and cancer

Papers in

Anna Sárközy

86 papers receiving 2.9k citations

Peers

Anna Sárközy
Comparison fields: 5 of 104
  • Immunology 787
  • Molecular Biology 2.4k
  • Cardiology and Cardiovascular Medicine 503
  • Genetics 192
  • Genetics 449
Replace Tetsuya Niihori with:
Tetsuya Niihori Japan
Corey K. Goldman United States
Franca Casagranda Australia
Edward C. Hsiao United States
Paul Grossfeld United States
Elias T. Zambidis United States
Bruno Leheup France
Yuji Gunji Japan
Ralf Herrmann Germany
Thomas D. Arnold United States
Anna Sárközy relative to Tetsuya Niihori Japan Tetsuya Niihori's profile →
Citations per field
00.5×3.1×
Tetsuya Niihori · 1×
Citations per year

Countries citing papers authored by Anna Sárközy

Since Specialization
Citations

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

Fields of papers citing papers by Anna Sárközy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002270
2 2008192
3 2018176
4 2006161
5 2005121
6 2005106
7 2004104
8 200699
9 200397
10 200789
11 200687
12 200985
13 201381
14 201071
15 201765
16 200659
17 201059
18 200956
19 202051
20 201644

About Anna Sárközy

Anna Sárközy is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Epidemiology and Genetics, having authored 91 papers that have together received 2.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (27 papers), Protein Tyrosine Phosphatases (20 papers), Cardiomyopathy and Myosin Studies (19 papers), Galectins and Cancer Biology (18 papers), Neurogenetic and Muscular Disorders Research (14 papers), Congenital heart defects research (13 papers), Congenital Heart Disease Studies (12 papers) and Peptidase Inhibition and Analysis (9 papers). The work is most often cited by research in Immunology (787 citations), Molecular Biology (2.4k citations), Cardiology and Cardiovascular Medicine (503 citations), Genetics (192 citations) and Genetics (449 citations). Anna Sárközy has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Bruno Dallapiccola, M. Cristina Digilio, Bruno Marino, Antonio Pizzuti, Rita Mingarelli, Emanuela Conti, Tania Dottorini, Giuseppe Limongelli, Francesco Muntoni and Andrea De Zorzi. Their work appears in journals such as Neuromuscular Disorders, European Journal of Human Genetics, Human Mutation, Annals of Clinical and Translational Neurology and The American Journal of Human Genetics.

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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