Zsófia Bánlaki

491 citations
24 papers · 408 · h-index 12

Impact in

Papers in

    • T-cell and B-cell Immunology 3
    • Complement system in diseases 2
    • Neuroendocrine regulation and behavior 3

Zsófia Bánlaki

23 papers receiving 399 citations

Peers

Zsófia Bánlaki
Comparison fields: 5 of 74
  • Pharmacy 35
  • Immunology 146
  • Nephrology 40
  • Genetics 140
  • Hematology 51
Replace Hidetoshi Nara with:
Hidetoshi Nara Japan
Noriko Yamakawa Japan
Emily G. Shuldiner United States
JA Russell Canada
Ali Osman Arslan Türkiye
J. Arp Canada
Anthony Attwood United Kingdom
Kabir Matharu United States
Johannes Huesing Germany
James O. Stevens United States
Zsófia Bánlaki relative to Hidetoshi Nara Japan Hidetoshi Nara's profile →
Citations per field
00.5×2×4×6×8×
Hidetoshi Nara · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 201650
3 201749
4 201541
5 201728
6 202221
7 201621
8 201219
9 201218
10 201316
11 201716
12 200914
13 201012
14 20206
15 20095
16 20115
17 20203
18 20232
19 20162
20 20171

About Zsófia Bánlaki

Zsófia Bánlaki is a scholar working on Immunology, Social Psychology, Genetics, Hematology and Molecular Biology, having authored 24 papers that have together received 408 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Neuroendocrine regulation and behavior (3 papers), Human-Animal Interaction Studies (3 papers), T-cell and B-cell Immunology (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Platelet Disorders and Treatments (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Pharmacy (35 citations), Immunology (146 citations), Nephrology (40 citations), Genetics (140 citations) and Hematology (51 citations). Zsófia Bánlaki has collaborated with scholars based in Hungary, Austria and United Kingdom. Frequent co-authors include Zsolt Rónai, Zsófia Virányi, Giulia Cimarelli, Borbála Turcsán, Mária Sasvári‐Székely, Ágnes Szilágyi, George Füst, Barbara Uzonyi, Mihály Józsi and Joseph J. E. Caesar. Their work appears in journals such as Molecular Immunology, The Journal of Immunology, Frontiers in Psychology, 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.

Explore authors with similar magnitude of impact