Zsófia Bánlaki

482 citations
23 papers · 373 · h-index 13

Impact in

Papers in

    • T-cell and B-cell Immunology 3
    • Biomarkers in Disease Mechanisms 2
    • Immune Cell Function and Interaction 2
    • Epigenetics and DNA Methylation 4
    • Metabolism, Diabetes, and Cancer 2

Zsófia Bánlaki

21 papers receiving 366 citations

Peers

Zsófia Bánlaki
Comparison fields: 5 of 73
  • Pharmacy 35
  • Immunology 138
  • Nephrology 38
  • Genetics 127
  • Hematology 49
Replace Noriko Yamakawa with:
Noriko Yamakawa Japan
Hidetoshi Nara Japan
Frank J. Strobl United States
JA Russell Canada
Janet Monge United States
Ali Arslan Türkiye
J. Arp Canada
Chiara Cipriani Italy
Johannes Huesing Germany
S. M. Hanna United Kingdom
Zsófia Bánlaki relative to Noriko Yamakawa Japan Noriko Yamakawa's profile →
Citations per field
00.5×4.4×
Noriko Yamakawa · 1×
Citations per year

Countries citing papers authored by Zsófia Bánlaki

Since Specialization
Citations

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

Fields of papers citing papers by Zsófia Bánlaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201568
2 201649
3 201747
4 201537
5 201725
6 202220
7 201617
8 201217
9 201216
10 201315
11 201714
12 200913
13 201012
14 20206
15 20115
16 20095
17 20203
18 20231
19 20231
20 20251

About Zsófia Bánlaki

Zsófia Bánlaki is a scholar working on Immunology, Molecular Biology, Social Psychology, Genetics and Hematology, having authored 23 papers that have together received 373 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Human-Animal Interaction Studies (3 papers), T-cell and B-cell Immunology (3 papers), Neuroendocrine regulation and behavior (3 papers), Biomarkers in Disease Mechanisms (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Immune Cell Function and Interaction (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Pharmacy (35 citations), Immunology (138 citations), Nephrology (38 citations), Genetics (127 citations) and Hematology (49 citations). Zsófia Bánlaki has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include Zsófia Virányi, Giulia Cimarelli, Zsolt Rónai, Borbála Turcsán, Mária Sasvári‐Székely, Ágnes Szilágyi, Friederike Range, Mihály Józsi, Barbara Uzonyi and Zoltán Prohászka. Their work appears in journals such as Molecular Immunology, Frontiers in Psychology, The Journal of Immunology, Genes and Genes Brain & Behavior.

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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