Ágnes Czibula

1.4k total citations
34 papers, 1.0k citations indexed

About

Ágnes Czibula is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Ágnes Czibula has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Immunology and 9 papers in Genetics. Recurrent topics in Ágnes Czibula's work include Galectins and Cancer Biology (7 papers), Glycosylation and Glycoproteins Research (5 papers) and Forensic and Genetic Research (4 papers). Ágnes Czibula is often cited by papers focused on Galectins and Cancer Biology (7 papers), Glycosylation and Glycoproteins Research (5 papers) and Forensic and Genetic Research (4 papers). Ágnes Czibula collaborates with scholars based in Hungary, United Kingdom and United States. Ágnes Czibula's co-authors include Endré Kiss-Toth, Zoltán Hegedüs, István Raskó, Éva Monostori, Enikő Szabó, Roberta Fajka‐Boja, Ferenc Uher, Bernadett Csányi, László Kovács and Gábor J. Szebeni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Ágnes Czibula

32 papers receiving 1.0k citations

Peers

Ágnes Czibula
Comparison fields: 5 of 107
  • Molecular Biology 442
  • Immunology 257
  • Cell Biology 214
  • Genetics 214
  • Genetics 146
Replace David George with:
David George United States
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J.J. Cassiman Belgium
Robert D. Sampson United Kingdom
Fabiola Porro Italy
Ana Berta Sousa Portugal
Joseph D. Dekker United States
Marie Legendre France
Ellen van Beusekom Netherlands
Diana Miller United States
David George United States View profile →
Citations per field, relative to Ágnes Czibula
Ágnes Czibula · 1×
Citations per year, relative to Ágnes Czibula
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Countries citing papers authored by Ágnes Czibula

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Czibula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágnes Czibula

This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Czibula. A scholar is included among the top collaborators of Ágnes Czibula 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 Ágnes Czibula. Ágnes Czibula 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 0
2 4
3
Characterization and therapeutic application of canine adipose mesenchymal stem cells to treat elbow osteoarthritis.
44
4 35
5 76
6
Genetics, molecular and cell biology of apoptotic cell death
1
7 25
8 27
9 27
10 50
11 1
12 26
13 28
14 77
15 13
16 54
17 81
18 131
19 48
20 73

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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